SlideShare ist ein Scribd-Unternehmen logo
1 von 25
The Behavior of Proteins:
       Enzymes

  Chapter 02 : Enzyme kinetics
     2.0 Factors affecting rate of reaction
   2.1 Michelis-Menten & Lineweaver-Burke
       2.2 Enzyme inhibition & regulation
Recall…
• Activation energy?
  - the energy that used to initiate the reaction,
  where this energy is needed to break the
  chemical bonding so that the reaction can occur.
  - this energy is low with the usage of enzyme; do
  not influence the product (P), path of reaction
  and final concentration of molecules.

                             proteins
• Catalysis?
  - speed up the reaction; the catalysts that serve
  this function called enzymes.       specific
Fig. 6-1a, p.132
Fig. 6-1b, p.132
Table 6-1, p.133
p.133
Enzyme characteristics
 Protein
 Catalysts
 Specific reaction
 Reacts at optimal pH and temperature
 Regulate/control the metabolism processes
 Need in a low amount
 Reversible reaction
 Reaction may be inhibited by inhibitor
Factors affecting rate of reaction
i.   Enzyme concentration [E] – with a constant [S],
     the rate of reaction increased with the increasing
     [E]
ii. Substrate concentration [S] – the rate of reaction
     increased until the amount of S = E
iii. pH – depends on functional group (R); -COOH or
     -NH2
iv. Effect of temperature – increment of temperature
    will increase the rate of reaction
v. Effect of inhibitor – chemical substance that binds
    on the active site/other site on the enzyme
    (allosteric site) → competitive and non-competitive inhibition
Fig. 6-2, p.134
•   The Lock-and-key model: high       • The induced-fit model: the binding
    degree of similarity between the     of the substrate induces the
    shape of substrate and the           conformational change in the
    geometry of the binding site on      enzyme.
    the enzyme.                        • The binding site has a different 3-
•   The substrate binds to a site        D shape before the substrate is
    whose shape compliments to its       bound.
    own.                               • The shape of the active site
•   eg. Like a key in lock or the        becomes complementary to the
    correct piece in jigsaw puzzle.      shape of the substrate only after
•   Weakness?                            the substrate binds to the enzyme.
                                       • Mimics the transition state.
Michaelis-Menten model
• Devised in 1913 by Leonor Michelis and Maud
  Menten.
• Basic model for nonallosteric enzyme.
• The main feature of this model for enzymatic
  reaction is the formation of an E-S complex.
• The [E-S] is low but remains unchanged to any
  appreciable extent over the course of the
  reaction.
• The S → P; released from the E.
• The E is regenerated at the end of the reaction.
                   k1   k2

            E + S ↔ ES → E + P
                  k-1
•   The rate (velocity) of an
    enzymatic reaction
    depends on the [S].
•   Fig. 6-8 shows the rate
    and the observed kinetics
    of an enzymatic reaction.
•   In lower region of the
    curve (at low level of S) –
    V0 depends on S.
•   In upper portion of the
    curve (at higher levels of
    S), the reaction is zero.
•   At infinite [S], the reaction
    would proceed at its max
    velocity (Vmax)
Vmax [ S ]
• The [S] at which the           V =
  reaction proceeds at               KM +[S ]
  one-half its Vmax has a
  special significance.
• It’s given the symbol KM
  (Michaelis constant)
  which considered an
  inverse measure of the
  affinity of the E for the S.
• The lower the KM, the
  higher the affinity.
• The Vmax for the E can be
  estimated from the
  graph. Thus, the value
  of KM also can be
  estimated from the
                                                  Fig. 6-9, p.142
Vmax [S ]
V =
    K M +[S ]

• When experimental conditions are adjusted so
  that [S] = KM,
              Vmax [ S ]             Vmax
          V =                    V =
              [S ] +[S ]   and        2


Note : Michaelis-Menten model is the simplest
 enzyme equation, where it’s considered the
 reaction of one single S to a single P.
     : the term KM only appropriate for E that
 exhibit a hyperbolic curve of V vs [S].
1  K +[ S ]
  = M
V  Vmax [ S ]                                Linearizing the
1
  =
    KM
            +
               [S ]                          Michaelis-Menten
V Vmax [ S ] Vmax [ S ]
1  K   1
  = M × +
          1                                  Equation
V Vmax S Vmax                                •   The curve that describe
                                                 the rate of nonallosteric
                                                 enzymatic reaction is
                                                 hyperbolic.
                                             •   It is considerably easier to
                                                 work with straight line than
                                                 a curve.
                                             •   The equation for a
                                                 hyperbola transformed into
                                                 an equation for a straight
                                                 line by taking the
                                                 reciprocal of both sides:
                                                 Lineweaver-Burk double
                                                 reciprocal plot

                          Fig. 6-10, p.143
Significance of KM and Vmax
•   When V = Vmax / 2, then KM = [S] → interpret that KM is equals the
    concentration of S at which 50% of the enzyme’s active sites are occupied
    by S.
•   Another interpretation of KM relies on the assumptions of the original
    Michaelis-Menten model of enzyme kinetics.
•   The KM is a measure of how tightly the S is bound to the E. KM >>, the less
    tightly the S bound to the E.
                                                           Illustrate the
•   Vmax is related to the turnover number of an E, a quantity equal of the catalytic
                                                           efficiency to
    constant,k2. ( Vmax / [ET]) = turnover number = kcat or kp
                                                           enzymatic catalysis
    - no. of moles of S that react to form P/mole E/unit time.
How Do Enzymatics
   Reactions Respond to
        Inhibitors?
Inhibitor – a substance that interferes with the
action of an enzyme and slows the rate of a
reaction.
2 ways in which inhibitors can affect an
enzymatic reaction:
i.A reversible inhibitor
ii.An irreversible inhibitor

There 2 major classes of reversible inhibitors
which can be distinguished on the basis of
the sites on the E to which they bind:
i.Competitive inhibition
ii.Noncompetitive inhibition
                                                   Fig. 6-11, p.146
Fig. 6-11b, p.146
Fig. 6-11c, p.146
Kinetics of competitive inhibition
In the presence of competitive inhibitor, the equation for an enzymatic
            Important: substrate or inhibitor can bind the
reaction becomes
            enzyme, not both. Because both are vying for the
                         EI + I E ↔ ES → E + P
                            ↔ +S
            same location, sufficiently high substrate will
            “outcompete” the inhibitor. This is why the Vmax
The dissociation constant for the E-I complex can be written:
            does not change.
        EI ↔ E + I       KI = [E] [I] / [EI]




                      1 KM        [I ]    1   1
                       =     (1 +      )×   +
                      V Vmax      K I [ S ] Vmax
                       y = m× x + b




                                                                 Fig. 6-12, p.148
Kinetics of noncompetitive inhibition
In the presence of noncompetitive inhibitor, the reaction pathway has
become more complicated+S
                            E ↔ ES → E + P
                         +I ↕     ↕ +I
                               +S
                            EI ↔ ESI
•The value of Vmax decreases, but KM remains the same; the inhibitor
doesn’t interfere with the binding of S to the active site.




          1       KM          [I ]        1       1          [I ]
              =        (1 +          )×       +       (1 +          )   Fig. 6-13, p.149
Kinetics of uncompetitive inhibition
•The inhibitor can bind to the ES complex but not to free E.

•The Vmax decreases and KM decreases as well.

•Once the uncompetitive inhibitor biond to the complex, it will
remain there. The enzymes loss their biology function →
reaction STOP.

•e.g. drugs, heavy metal (Boron), iodoacetic acid
• Practice session
 Sucrose is hydrolyzed to glucose and fructose. The
 reaction is catalyzed by the enzyme invertase.
 Using the following data, by the Lineweaver-Burk
 method, whether the inhibition of this reaction by 2
 M is competitive or noncompetitive.
        [Sucrose]    V, no inhibitor   V, Inhibitor
         (mol L-1)                       present

          0.0292         0.182            0.083
          0.0584         0.265            0.119
          0.0876         0.311            0.154
          0.117          0.330            0.167
          0.175          0.372            0.192

                                                      p.151a
Enzyme inhibition in
the treatment of AIDS –
important target is HIV
protease that essential
to the production of
new virus particles in
infected cells.
Treatment is most
effective when
combination of drug
therapies is used and
HIV protease inhibitors
play an important role.

Weitere ähnliche Inhalte

Was ist angesagt?

Pharmacodynamics part 3
Pharmacodynamics part 3Pharmacodynamics part 3
Pharmacodynamics part 3Pravin Prasad
 
Energetics hess's law & born haber cycle
Energetics  hess's law & born haber cycleEnergetics  hess's law & born haber cycle
Energetics hess's law & born haber cyclePunia Turiman
 
Tang 01b enthalpy, entropy, and gibb's free energy
Tang 01b  enthalpy, entropy, and gibb's free energyTang 01b  enthalpy, entropy, and gibb's free energy
Tang 01b enthalpy, entropy, and gibb's free energymrtangextrahelp
 
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdfCh 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdfCharbelRahme2
 
nucleicacid-160518061006.pdf
nucleicacid-160518061006.pdfnucleicacid-160518061006.pdf
nucleicacid-160518061006.pdfSHRICYBER1
 
Acidity of Carboxylic Acid Explanation - Organic Chemistry
Acidity of Carboxylic Acid Explanation - Organic Chemistry Acidity of Carboxylic Acid Explanation - Organic Chemistry
Acidity of Carboxylic Acid Explanation - Organic Chemistry SHUBHAM CARPENTAR
 
Thermodynamics relations
Thermodynamics relationsThermodynamics relations
Thermodynamics relationsnaphis ahamad
 
Enthalpy and Internal Energy
Enthalpy and Internal EnergyEnthalpy and Internal Energy
Enthalpy and Internal EnergyLumen Learning
 
Halogenation of alkanes
Halogenation of alkanesHalogenation of alkanes
Halogenation of alkanesSamir Purohit
 
Adrenergic drugs part-I
Adrenergic drugs part-IAdrenergic drugs part-I
Adrenergic drugs part-IManoj Munde
 
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell Potential
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell PotentialIB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell Potential
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell PotentialLawrence kok
 
Activating and deactivating group
Activating and deactivating groupActivating and deactivating group
Activating and deactivating groupSchool of Scholars
 

Was ist angesagt? (20)

Pharmacodynamics part 3
Pharmacodynamics part 3Pharmacodynamics part 3
Pharmacodynamics part 3
 
225377 lecture 19 20
225377 lecture 19 20225377 lecture 19 20
225377 lecture 19 20
 
Energetics hess's law & born haber cycle
Energetics  hess's law & born haber cycleEnergetics  hess's law & born haber cycle
Energetics hess's law & born haber cycle
 
GIBBS FREE ENERGY
GIBBS FREE ENERGY GIBBS FREE ENERGY
GIBBS FREE ENERGY
 
Enzyme induction and repression
Enzyme induction and repressionEnzyme induction and repression
Enzyme induction and repression
 
Tang 01b enthalpy, entropy, and gibb's free energy
Tang 01b  enthalpy, entropy, and gibb's free energyTang 01b  enthalpy, entropy, and gibb's free energy
Tang 01b enthalpy, entropy, and gibb's free energy
 
Entropy
EntropyEntropy
Entropy
 
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdfCh 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
 
1 4-computing and pharmaceutical numeracy
1 4-computing and pharmaceutical numeracy1 4-computing and pharmaceutical numeracy
1 4-computing and pharmaceutical numeracy
 
Alkyne
AlkyneAlkyne
Alkyne
 
nucleicacid-160518061006.pdf
nucleicacid-160518061006.pdfnucleicacid-160518061006.pdf
nucleicacid-160518061006.pdf
 
Acidity of Carboxylic Acid Explanation - Organic Chemistry
Acidity of Carboxylic Acid Explanation - Organic Chemistry Acidity of Carboxylic Acid Explanation - Organic Chemistry
Acidity of Carboxylic Acid Explanation - Organic Chemistry
 
General principles of organic chemistry
General principles of organic chemistryGeneral principles of organic chemistry
General principles of organic chemistry
 
Thermodynamics relations
Thermodynamics relationsThermodynamics relations
Thermodynamics relations
 
Enthalpy and Internal Energy
Enthalpy and Internal EnergyEnthalpy and Internal Energy
Enthalpy and Internal Energy
 
Halogenation of alkanes
Halogenation of alkanesHalogenation of alkanes
Halogenation of alkanes
 
Adrenergic drugs part-I
Adrenergic drugs part-IAdrenergic drugs part-I
Adrenergic drugs part-I
 
Thermodynamics
ThermodynamicsThermodynamics
Thermodynamics
 
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell Potential
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell PotentialIB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell Potential
IB Chemistry on Gibbs Free Energy, Equilibrium constant and Cell Potential
 
Activating and deactivating group
Activating and deactivating groupActivating and deactivating group
Activating and deactivating group
 

Andere mochten auch

Open Stack Cheng Du Swift Alex Yang
Open Stack Cheng Du Swift Alex YangOpen Stack Cheng Du Swift Alex Yang
Open Stack Cheng Du Swift Alex YangOpenCity Community
 
Blitzkrieg sankalp mlp002
Blitzkrieg sankalp mlp002Blitzkrieg sankalp mlp002
Blitzkrieg sankalp mlp002Sankalp Sheel
 
Tugas 4 Kode SMTP & kelemahannya
Tugas 4 Kode SMTP & kelemahannyaTugas 4 Kode SMTP & kelemahannya
Tugas 4 Kode SMTP & kelemahannyaRobby Firmansyah
 
Materi 4 String dan Boolean Expression
Materi 4 String dan Boolean ExpressionMateri 4 String dan Boolean Expression
Materi 4 String dan Boolean ExpressionRobby Firmansyah
 
Linn final1960sstreetartppt
Linn final1960sstreetartpptLinn final1960sstreetartppt
Linn final1960sstreetartpptteamhumanities
 
Social media security
Social media securitySocial media security
Social media securityB.A.
 
Орхон цогцолбор сургууль - Болорсайхан багш
Орхон цогцолбор сургууль - Болорсайхан багш Орхон цогцолбор сургууль - Болорсайхан багш
Орхон цогцолбор сургууль - Болорсайхан багш Amka Anar
 
Indigenous Partnership in Action – Report on International Workshop on Indige...
Indigenous Partnership in Action – Report on International Workshop on Indige...Indigenous Partnership in Action – Report on International Workshop on Indige...
Indigenous Partnership in Action – Report on International Workshop on Indige...Wayne Dunn
 
Mysql handle socket
Mysql handle socketMysql handle socket
Mysql handle socketPhilip Zhong
 
Classification of Matter Overview. Spring-- Day 2
Classification of Matter Overview. Spring-- Day 2Classification of Matter Overview. Spring-- Day 2
Classification of Matter Overview. Spring-- Day 2jmori1
 
Mba724 s4 2 qualitative research
Mba724 s4 2 qualitative researchMba724 s4 2 qualitative research
Mba724 s4 2 qualitative researchRachel Chung
 

Andere mochten auch (20)

Ch03
Ch03Ch03
Ch03
 
Drug absorption
Drug absorptionDrug absorption
Drug absorption
 
C 6
C 6C 6
C 6
 
Open Stack Cheng Du Swift Alex Yang
Open Stack Cheng Du Swift Alex YangOpen Stack Cheng Du Swift Alex Yang
Open Stack Cheng Du Swift Alex Yang
 
Fm1(a) genre
Fm1(a)   genreFm1(a)   genre
Fm1(a) genre
 
Presentacion talleres y circulos de crecimiento
Presentacion talleres y circulos de crecimientoPresentacion talleres y circulos de crecimiento
Presentacion talleres y circulos de crecimiento
 
Blitzkrieg sankalp mlp002
Blitzkrieg sankalp mlp002Blitzkrieg sankalp mlp002
Blitzkrieg sankalp mlp002
 
Angular js
Angular jsAngular js
Angular js
 
Tugas 4 Kode SMTP & kelemahannya
Tugas 4 Kode SMTP & kelemahannyaTugas 4 Kode SMTP & kelemahannya
Tugas 4 Kode SMTP & kelemahannya
 
Materi 4 String dan Boolean Expression
Materi 4 String dan Boolean ExpressionMateri 4 String dan Boolean Expression
Materi 4 String dan Boolean Expression
 
Linn final1960sstreetartppt
Linn final1960sstreetartpptLinn final1960sstreetartppt
Linn final1960sstreetartppt
 
Software development company
Software development companySoftware development company
Software development company
 
Comicus2012
Comicus2012Comicus2012
Comicus2012
 
Social media security
Social media securitySocial media security
Social media security
 
Орхон цогцолбор сургууль - Болорсайхан багш
Орхон цогцолбор сургууль - Болорсайхан багш Орхон цогцолбор сургууль - Болорсайхан багш
Орхон цогцолбор сургууль - Болорсайхан багш
 
Indigenous Partnership in Action – Report on International Workshop on Indige...
Indigenous Partnership in Action – Report on International Workshop on Indige...Indigenous Partnership in Action – Report on International Workshop on Indige...
Indigenous Partnership in Action – Report on International Workshop on Indige...
 
Mysql handle socket
Mysql handle socketMysql handle socket
Mysql handle socket
 
Classification of Matter Overview. Spring-- Day 2
Classification of Matter Overview. Spring-- Day 2Classification of Matter Overview. Spring-- Day 2
Classification of Matter Overview. Spring-- Day 2
 
Mba724 s4 2 qualitative research
Mba724 s4 2 qualitative researchMba724 s4 2 qualitative research
Mba724 s4 2 qualitative research
 
Pers
PersPers
Pers
 

Ähnlich wie Ch02

2.order of reaction & mm equ
2.order of reaction & mm equ2.order of reaction & mm equ
2.order of reaction & mm equBinod Aryal
 
Enzyme kinetics- michaelis menten model, lineweaver burk plot
Enzyme kinetics- michaelis menten model, lineweaver burk plotEnzyme kinetics- michaelis menten model, lineweaver burk plot
Enzyme kinetics- michaelis menten model, lineweaver burk plotSUMESHM13
 
plantbiochemlecture5-enzymesb.ppt
plantbiochemlecture5-enzymesb.pptplantbiochemlecture5-enzymesb.ppt
plantbiochemlecture5-enzymesb.pptGetahunAlega
 
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]Khamees Faraj
 
Michaelis - Menten Curve of Enzyme Kinetic.pptx
Michaelis - Menten Curve of  Enzyme Kinetic.pptxMichaelis - Menten Curve of  Enzyme Kinetic.pptx
Michaelis - Menten Curve of Enzyme Kinetic.pptxAkhil Pradeep
 
7.29.10 enzymes (kinetics) coloso
7.29.10 enzymes (kinetics)   coloso7.29.10 enzymes (kinetics)   coloso
7.29.10 enzymes (kinetics) colosoDayen Dacles
 
Lineweaver - Burk Plot accurate determination of Vmax
Lineweaver - Burk Plot  accurate determination of VmaxLineweaver - Burk Plot  accurate determination of Vmax
Lineweaver - Burk Plot accurate determination of VmaxAkhil Pradeep
 
Kinetics of enzyme action
Kinetics of enzyme action Kinetics of enzyme action
Kinetics of enzyme action JyotiVerma170
 
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)SABARI KRISHNAN B. B.
 

Ähnlich wie Ch02 (20)

Bmm480 Enzymology lecture-3
Bmm480 Enzymology lecture-3Bmm480 Enzymology lecture-3
Bmm480 Enzymology lecture-3
 
Enzyme kinetics
Enzyme kineticsEnzyme kinetics
Enzyme kinetics
 
2.order of reaction & mm equ
2.order of reaction & mm equ2.order of reaction & mm equ
2.order of reaction & mm equ
 
Enzyme Kinetics_.pptx
Enzyme Kinetics_.pptxEnzyme Kinetics_.pptx
Enzyme Kinetics_.pptx
 
Enzyme kinetics- michaelis menten model, lineweaver burk plot
Enzyme kinetics- michaelis menten model, lineweaver burk plotEnzyme kinetics- michaelis menten model, lineweaver burk plot
Enzyme kinetics- michaelis menten model, lineweaver burk plot
 
Campbell6e lecture ch6
Campbell6e lecture ch6Campbell6e lecture ch6
Campbell6e lecture ch6
 
Enzyme kinetics
Enzyme kineticsEnzyme kinetics
Enzyme kinetics
 
enzme kinetics.pptx
enzme kinetics.pptxenzme kinetics.pptx
enzme kinetics.pptx
 
plantbiochemlecture5-enzymesb.ppt
plantbiochemlecture5-enzymesb.pptplantbiochemlecture5-enzymesb.ppt
plantbiochemlecture5-enzymesb.ppt
 
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]
7 29-10enzymeskinetics-coloso-110715062024-phpapp01[1]
 
Michaelis - Menten Curve of Enzyme Kinetic.pptx
Michaelis - Menten Curve of  Enzyme Kinetic.pptxMichaelis - Menten Curve of  Enzyme Kinetic.pptx
Michaelis - Menten Curve of Enzyme Kinetic.pptx
 
Enzyme kinetics
Enzyme kineticsEnzyme kinetics
Enzyme kinetics
 
7.29.10 enzymes (kinetics) coloso
7.29.10 enzymes (kinetics)   coloso7.29.10 enzymes (kinetics)   coloso
7.29.10 enzymes (kinetics) coloso
 
Michaelis Menten Reaction
Michaelis Menten ReactionMichaelis Menten Reaction
Michaelis Menten Reaction
 
Lineweaver - Burk Plot accurate determination of Vmax
Lineweaver - Burk Plot  accurate determination of VmaxLineweaver - Burk Plot  accurate determination of Vmax
Lineweaver - Burk Plot accurate determination of Vmax
 
enzyme.pptx
enzyme.pptxenzyme.pptx
enzyme.pptx
 
Kinetics of enzyme action
Kinetics of enzyme action Kinetics of enzyme action
Kinetics of enzyme action
 
Enzymes crash course
Enzymes crash courseEnzymes crash course
Enzymes crash course
 
ENZYMES- bme.pptx
ENZYMES- bme.pptxENZYMES- bme.pptx
ENZYMES- bme.pptx
 
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)
Derivations of ENZYME KINETICS (Part 1 - simplified and detailed)
 

Mehr von Nur Izzati (13)

Bab 5 ctu 211
Bab 5 ctu 211Bab 5 ctu 211
Bab 5 ctu 211
 
Bab 4 ctu 211
Bab 4 ctu 211Bab 4 ctu 211
Bab 4 ctu 211
 
Bab 3 ctu 211
Bab 3 ctu 211Bab 3 ctu 211
Bab 3 ctu 211
 
Bab 2 ctu 211
Bab 2 ctu 211Bab 2 ctu 211
Bab 2 ctu 211
 
Bab 1 ctu 211
Bab 1 ctu 211Bab 1 ctu 211
Bab 1 ctu 211
 
Ch06 b
Ch06 bCh06 b
Ch06 b
 
Ch06
Ch06Ch06
Ch06
 
Ch05
Ch05Ch05
Ch05
 
Ch04 b
Ch04 bCh04 b
Ch04 b
 
Ch04
Ch04Ch04
Ch04
 
Ch03 cont.
Ch03 cont.Ch03 cont.
Ch03 cont.
 
Ch01 cont.
Ch01 cont.Ch01 cont.
Ch01 cont.
 
Ch01 bcm 311
Ch01 bcm 311Ch01 bcm 311
Ch01 bcm 311
 

Kürzlich hochgeladen

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdfSandro Moreira
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 

Kürzlich hochgeladen (20)

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 

Ch02

  • 1. The Behavior of Proteins: Enzymes Chapter 02 : Enzyme kinetics 2.0 Factors affecting rate of reaction 2.1 Michelis-Menten & Lineweaver-Burke 2.2 Enzyme inhibition & regulation
  • 2. Recall… • Activation energy? - the energy that used to initiate the reaction, where this energy is needed to break the chemical bonding so that the reaction can occur. - this energy is low with the usage of enzyme; do not influence the product (P), path of reaction and final concentration of molecules. proteins • Catalysis? - speed up the reaction; the catalysts that serve this function called enzymes. specific
  • 7. Enzyme characteristics  Protein  Catalysts  Specific reaction  Reacts at optimal pH and temperature  Regulate/control the metabolism processes  Need in a low amount  Reversible reaction  Reaction may be inhibited by inhibitor
  • 8. Factors affecting rate of reaction i. Enzyme concentration [E] – with a constant [S], the rate of reaction increased with the increasing [E] ii. Substrate concentration [S] – the rate of reaction increased until the amount of S = E iii. pH – depends on functional group (R); -COOH or -NH2 iv. Effect of temperature – increment of temperature will increase the rate of reaction v. Effect of inhibitor – chemical substance that binds on the active site/other site on the enzyme (allosteric site) → competitive and non-competitive inhibition
  • 10. The Lock-and-key model: high • The induced-fit model: the binding degree of similarity between the of the substrate induces the shape of substrate and the conformational change in the geometry of the binding site on enzyme. the enzyme. • The binding site has a different 3- • The substrate binds to a site D shape before the substrate is whose shape compliments to its bound. own. • The shape of the active site • eg. Like a key in lock or the becomes complementary to the correct piece in jigsaw puzzle. shape of the substrate only after • Weakness? the substrate binds to the enzyme. • Mimics the transition state.
  • 11.
  • 12. Michaelis-Menten model • Devised in 1913 by Leonor Michelis and Maud Menten. • Basic model for nonallosteric enzyme. • The main feature of this model for enzymatic reaction is the formation of an E-S complex. • The [E-S] is low but remains unchanged to any appreciable extent over the course of the reaction. • The S → P; released from the E. • The E is regenerated at the end of the reaction. k1 k2 E + S ↔ ES → E + P k-1
  • 13. The rate (velocity) of an enzymatic reaction depends on the [S]. • Fig. 6-8 shows the rate and the observed kinetics of an enzymatic reaction. • In lower region of the curve (at low level of S) – V0 depends on S. • In upper portion of the curve (at higher levels of S), the reaction is zero. • At infinite [S], the reaction would proceed at its max velocity (Vmax)
  • 14. Vmax [ S ] • The [S] at which the V = reaction proceeds at KM +[S ] one-half its Vmax has a special significance. • It’s given the symbol KM (Michaelis constant) which considered an inverse measure of the affinity of the E for the S. • The lower the KM, the higher the affinity. • The Vmax for the E can be estimated from the graph. Thus, the value of KM also can be estimated from the Fig. 6-9, p.142
  • 15. Vmax [S ] V = K M +[S ] • When experimental conditions are adjusted so that [S] = KM, Vmax [ S ] Vmax V = V = [S ] +[S ] and 2 Note : Michaelis-Menten model is the simplest enzyme equation, where it’s considered the reaction of one single S to a single P. : the term KM only appropriate for E that exhibit a hyperbolic curve of V vs [S].
  • 16. 1 K +[ S ] = M V Vmax [ S ] Linearizing the 1 = KM + [S ] Michaelis-Menten V Vmax [ S ] Vmax [ S ] 1 K 1 = M × + 1 Equation V Vmax S Vmax • The curve that describe the rate of nonallosteric enzymatic reaction is hyperbolic. • It is considerably easier to work with straight line than a curve. • The equation for a hyperbola transformed into an equation for a straight line by taking the reciprocal of both sides: Lineweaver-Burk double reciprocal plot Fig. 6-10, p.143
  • 17. Significance of KM and Vmax • When V = Vmax / 2, then KM = [S] → interpret that KM is equals the concentration of S at which 50% of the enzyme’s active sites are occupied by S. • Another interpretation of KM relies on the assumptions of the original Michaelis-Menten model of enzyme kinetics. • The KM is a measure of how tightly the S is bound to the E. KM >>, the less tightly the S bound to the E. Illustrate the • Vmax is related to the turnover number of an E, a quantity equal of the catalytic efficiency to constant,k2. ( Vmax / [ET]) = turnover number = kcat or kp enzymatic catalysis - no. of moles of S that react to form P/mole E/unit time.
  • 18. How Do Enzymatics Reactions Respond to Inhibitors? Inhibitor – a substance that interferes with the action of an enzyme and slows the rate of a reaction. 2 ways in which inhibitors can affect an enzymatic reaction: i.A reversible inhibitor ii.An irreversible inhibitor There 2 major classes of reversible inhibitors which can be distinguished on the basis of the sites on the E to which they bind: i.Competitive inhibition ii.Noncompetitive inhibition Fig. 6-11, p.146
  • 21. Kinetics of competitive inhibition In the presence of competitive inhibitor, the equation for an enzymatic Important: substrate or inhibitor can bind the reaction becomes enzyme, not both. Because both are vying for the EI + I E ↔ ES → E + P ↔ +S same location, sufficiently high substrate will “outcompete” the inhibitor. This is why the Vmax The dissociation constant for the E-I complex can be written: does not change. EI ↔ E + I KI = [E] [I] / [EI] 1 KM [I ] 1 1 = (1 + )× + V Vmax K I [ S ] Vmax y = m× x + b Fig. 6-12, p.148
  • 22. Kinetics of noncompetitive inhibition In the presence of noncompetitive inhibitor, the reaction pathway has become more complicated+S E ↔ ES → E + P +I ↕ ↕ +I +S EI ↔ ESI •The value of Vmax decreases, but KM remains the same; the inhibitor doesn’t interfere with the binding of S to the active site. 1 KM [I ] 1 1 [I ] = (1 + )× + (1 + ) Fig. 6-13, p.149
  • 23. Kinetics of uncompetitive inhibition •The inhibitor can bind to the ES complex but not to free E. •The Vmax decreases and KM decreases as well. •Once the uncompetitive inhibitor biond to the complex, it will remain there. The enzymes loss their biology function → reaction STOP. •e.g. drugs, heavy metal (Boron), iodoacetic acid
  • 24. • Practice session Sucrose is hydrolyzed to glucose and fructose. The reaction is catalyzed by the enzyme invertase. Using the following data, by the Lineweaver-Burk method, whether the inhibition of this reaction by 2 M is competitive or noncompetitive. [Sucrose] V, no inhibitor V, Inhibitor (mol L-1) present 0.0292 0.182 0.083 0.0584 0.265 0.119 0.0876 0.311 0.154 0.117 0.330 0.167 0.175 0.372 0.192 p.151a
  • 25. Enzyme inhibition in the treatment of AIDS – important target is HIV protease that essential to the production of new virus particles in infected cells. Treatment is most effective when combination of drug therapies is used and HIV protease inhibitors play an important role.

Hinweis der Redaktion

  1. Traveling over a mountain pass is an analogy frequently used to describe the progress of a chemical reaction. Catalysts speed up the process.
  2. FIGURE 6.1 Activation energy profiles. (a) The activation energy profile for a typical reaction. The reaction shown here is exergonic (energy-releasing). Note the difference between the activation energy (  G °‡) and the standard free energy of the reaction (  G °).
  3. FIGURE 6.1 Activation energy profiles. (b) A comparison of activation energy profiles for catalyzed and uncatalyzed reactions. The activation energy of the catalyzed reaction is much less than that of the uncatalyzed reaction.
  4. The possible isozymes of lactate dehydrogenase. The symbol M refers to the dehydrogenase form that predominates in skeletal muscle, and the symbol H refers to the form that predominates in heart (cardiac) muscle.
  5. FIGURE 6.2 The effect of temperature on enzyme activity. The relative activity of an enzymatic reaction as a function of temperature. The decrease in activity above 50°C is due to thermal denaturation.
  6. FIGURE 6.3 Two models for the binding of a substrate to an enzyme. (a) In the lock-and-key model, the shape of the substrate and the conformation of the active site are complementary to one another. (b) In the induced-fit model, the enzyme undergoes a conformational change upon binding to substrate. The shape of the active site becomes complementary to the shape of the substrate only after the substrate binds to the enzyme.
  7. FIGURE 6.4 The activation energy profile of a reaction with strong binding of the substrate to the enzyme to form an enzyme–substrate complex.
  8. FIGURE 6.9 Graphical determination of V max and K M from a plot of reaction velocity, V, against substrate concentration, [S]. V max is the constant rate reached when the enzyme is completely saturated with substrate, a value that frequently must be estimated from such a graph.
  9. FIGURE 6.10 A Lineweaver–Burk double reciprocal plot of enzyme kinetics. The reciprocal of reaction velocity, 1/ V, is plotted against the reciprocal of the substrate concentration, 1/[S]. The slope of the line is K M/ V max, and the y intercept is 1/ V max. The x intercept is –1/ K M.
  10. FIGURE 6.11 Modes of action of inhibitors. The distinction between competitive and noncompetitive inhibitors is that a competitive inhibitor prevents binding of the substrate to the enzyme, whereas a noncompetitive inhibitor does not. (a) An enzyme– substrate complex in the absence of inhibitor. (b) A competitive inhibitor binds to the active site; the substrate cannot bind. (c) A noncompetitive inhibitor binds at a site other than the active site. The substrate still binds, but the enzyme cannot catalyze the reaction because of the presence of the bound inhibitor.
  11. FIGURE 6.11 Modes of action of inhibitors. The distinction between competitive and noncompetitive inhibitors is that a competitive inhibitor prevents binding of the substrate to the enzyme, whereas a noncompetitive inhibitor does not. (b) A competitive inhibitor binds to the active site; the substrate cannot bind.
  12. FIGURE 6.11 Modes of action of inhibitors. The distinction between competitive and noncompetitive inhibitors is that a competitive inhibitor prevents binding of the substrate to the enzyme, whereas a noncompetitive inhibitor does not. (c) A noncompetitive inhibitor binds at a site other than the active site. The substrate still binds, but the enzyme cannot catalyze the reaction because of the presence of the bound inhibitor.
  13. FIGURE 6.12 A Lineweaver–Burk double-reciprocal plot of enzyme kinetics for competitive inhibition.
  14. FIGURE 6.13 A Lineweaver–Burk plot of enzyme kinetics for noncompetitive inhibition.
  15. Active site of VX-478 complexed with HIV-1 protease.