SlideShare ist ein Scribd-Unternehmen logo
1 von 21
BASICS OF
~MOLECULAR DOCKING~
SATARUPA DEB
ROLL- 10
Docking is a structure-based technique which attempts
to find the “best” match, between two molecules.
WHAT IS MOLECULAR DOCKING????
• In the field of molecular modeling, docking is a method which predicts
the preferred orientation of one molecule to a second when bound to
each other to form a stable complex.
• Knowledge of the preferred orientation in turn may be used to predict
the strength of association or binding affinity between two molecules
using for example scoring functions.
RECEPTOR LIGAND
LIGAND-RECEPTOR
COMPLEX
WHY IS DOCKING IMPORTANT?
 Signal Transduction :- The associations between biologically relevant molecules such
as proteins, nucleic acids, carbohydrates, and lipids play a central role in signal
transduction. Furthermore, the relative orientation of the two interacting partners may
affect the type of signal produced (e.g., agonism vs antagonism). Therefore docking is
useful for predicting both the strength and type of signal produced.
Drug-Designing:- Docking is frequently used to predict the binding orientation
of small molecule drug candidates to their protein targets in order to in turn predict
the affinity and activity of the small molecule. Hence docking plays an important role in
the rational design of drugs.
Receptor or host or lock: The "receiving" molecule, most commonly a protein or other
biopolymer.
Ligand or guest or key: The complementary partner molecule which binds to the receptor.
Ligands are most often small molecules but could also be another biopolymer.
Docking: Computational simulation of a candidate ligand binding to a receptor.
Binding mode: The orientation of the ligand relative to the receptor as well as the
conformation of the ligand and receptor when bound to each other.
Pose : A candidate binding mode.
Scoring : The process of evaluating a particular pose by counting the number of favorable
intermolecular interactions such as hydrogen bonds and hydrophobic contacts.
Ranking : The process of classifying which ligands are most likely to interact favorably to a
particular receptor based on the predicted free-energy of binding.
DOCKING GLOSSARY
DEFINITION OF THE PROBLEM
One can think of molecular docking as a problem of “lock-and-key”, in which one
wants to find the correct relative orientation of the “key” which will open up
the “lock” (where on the surface of the lock is the key hole, which direction to turn the
key after it is inserted, etc.)
 However, since both the ligand and the protein are flexible, a “hand-in-
glove” analogy is more appropriate than “lock-and-key”. During the course of the
docking process, the ligand and the protein adjust their conformation to achieve an
overall "best-fit" and this kind of conformational adjustment resulting in the overall
binding is referred to as "induced-fit“.
DOCKING APPROACHES
SHAPE COMPLEMENTARITY:- One approach uses a matching technique that
describes the protein and the ligand as complementary surfaces.
SIMULATION:- The second approach simulates the actual docking process in which
the ligand-protein pairwise interaction energies are calculated. Both approaches have
significant advantages as well as some limitations.
CALCULATE:-
Hydrophilic and hydrophobic
interactions.
Hydrogen bond donated.
Hydrogen bond accepted.
Ligand orientation with best
complementarity score.
Binding affinities.
Ionic interaction.
Aromatic Interaction.
Vander Waals’ forces
Electrostatic forces
Free energies.
STEPS OF DOCKING
Step 1: Start with Crystal Co-ordinates with target receptor.
For example,
-HIV-1 protease is the target receptor
- Aspartyl groups are its active sites
Step 2: Generate molecular surface for receptors.
Step 3: Generate spheres to fill the active site of the
receptor: The spheres become potential locations for ligand
atoms.
Step 4: Sphere centres are then matched with the
ligand atoms, to determine possible orientations for the
ligand.
Three scoring schemes:
o Shape scoring,
o Electrostatic scoring and
o Force-field scoring.
Step 5: Find the top scoring or the best ranking.
APPLICATIONS OF MOLECULAR DOCKING
Determination of the lowest free energy structures for the receptor-ligand
complex.
Calculate the differential binding of a ligand to two different macromolecular
receptors.
Study the geometry of a particular complex.
Propose modification of lead molecules to optimize potency or other properties.
De novo design for lead generation.
Library design.
Screening for the side effects that can be caused by interactions with other
molecules.
To check the specificity of the potential drug against homologous proteins
through docking.
Docking is also a widely used tool for predicting protein-protein interaction.
Knowledge of the molecular associations aid in understanding a variety of
pathways taking place in the living and in revealing of the possible pharmacological
targets.
Protein-ligand docking can also be used to predict pollutants that can be
degraded by enzymes.
COMMON SOFTWARES USED FOR DOCKING PURPOSE
1. UCSF DOCK- USA (1988)
2. AUTODOCK- USA (1990)
AutoDock is a suite of automated docking tools. It is designed to predict how small
molecules, such as substrates or drug candidates, bind to a receptor of known 3D
structure.
Current distributions of AutoDock consist of two generations of software: AutoDock 4
and AutoDock Vina.
3. FlexX- Germany (1996)
Receptor is treated as rigid.
Incremental construction algorithm:
Break Ligand up into rigid fragments
Dock fragments into pocket of receptor
Reassemble ligand from fragments.
Energy conformations
4. GOLD- UK (1995)
Performs automated docking with
full acyclic ligand flexibility, partial
cyclic ligand flexibility and partial
protein flexibility in and around
active site.
Scoring: includes H-bonding term,
pairwise dispersion potential
(hydrophobic interactions),
molecular and mechanics term for
internal energy
OTHER SOFTWARES
AADS- India (2011)
ADAM- Japan (1994)
BetaDock- South Korea (2011)
DARWIN- USA (2000)
DIVALI- USA (1995)
DockVision- Canada (1992)
EADock- Switzerland (2007)
Understanding the ruling principles whereby protein receptors recognize,
interact, and associate with molecular substrates and inhibitors is of
paramount importance in drug discovery efforts. Protein-ligand docking
aims to predict and rank the structure(s) arising from the association
between a given ligand and a target protein of known 3D structure. Despite
the breathtaking advances in the field over the last decades and the
widespread application of docking methods, several downsides still exist. In
particular, protein flexibility-a critical aspect for a thorough understanding
of the principles that guide ligand binding in proteins-is a major hurdle in
current protein-ligand docking efforts that needs to be more efficiently
accounted for. In this review the key concepts of protein-ligand docking
methods are outlined, with major emphasis being given to the general
strengths and weaknesses that presently characterize this methodology.
Despite the size of the field, the principal types of search algorithms and
scoring functions are reviewed and the most popular docking tools are
briefly depicted.
CONCLUSION
REFERENCES
1. Lengauer T, Rarey M (1996). "Computational methods for biomolecular
docking". Curr. Opin. Struct. Biol. 6 (3): 402–6. doi:10.1016/S0959-440X(96)80061-
3. PMID 8804827
2. Jorgensen WL (1991). "Rusting of the lock and key model for protein-ligand
binding".Science 254 (5034): 954–5. doi:10.1126/science.1719636. PMID 1719636
3. http://www.crcnetbase.com/doi/abs/10.1201/9781420028775.ch3
4. http://www.ccdc.cam.ac.uk/Solutions/GoldSuite/Pages/GOLD.aspx
5. Wei BQ, Weaver LH, Ferrari AM, Matthews BW, Shoichet BK (2004). "Testing a
flexible-receptor docking algorithm in a model binding site". J. Mol. Biol. 337 (5):
1161–82.doi:10.1016/j.jmb.2004.02.015. PMID 15046985
6. http://autodock.scripps.edu/
7. http://www.ibms.kmu.edu.pk/sites/ibms.kmu.edu.pk/files/downloads/Dr.%20Abdu
l%20Wadood.pdf
Basics Of Molecular Docking

Weitere ähnliche Inhalte

Was ist angesagt?

MOLECULAR DOCKING.pptx
MOLECULAR DOCKING.pptxMOLECULAR DOCKING.pptx
MOLECULAR DOCKING.pptxE Poovarasan
 
Virtual Screening in Drug Discovery
Virtual Screening in Drug DiscoveryVirtual Screening in Drug Discovery
Virtual Screening in Drug DiscoveryAbhik Seal
 
Structure based drug designing
Structure based drug designingStructure based drug designing
Structure based drug designingSeenam Iftikhar
 
Pharmacophore mapping
Pharmacophore mapping Pharmacophore mapping
Pharmacophore mapping GamitKinjal
 
Molecular docking
Molecular dockingMolecular docking
Molecular dockingpalliyath91
 
Computational Drug Design
Computational Drug DesignComputational Drug Design
Computational Drug Designbaoilleach
 
Structure based and ligand based drug designing
Structure based and ligand based drug designingStructure based and ligand based drug designing
Structure based and ligand based drug designingDr Vysakh Mohan M
 
Protein Structure Determination
Protein Structure DeterminationProtein Structure Determination
Protein Structure DeterminationAmjad Ibrahim
 
Docking Score Functions
Docking Score FunctionsDocking Score Functions
Docking Score FunctionsSAKEEL AHMED
 
Target identification and validation
Target identification and validationTarget identification and validation
Target identification and validationAshishVerma571
 
Presentation on insilico drug design and virtual screening
Presentation on insilico drug design and virtual screeningPresentation on insilico drug design and virtual screening
Presentation on insilico drug design and virtual screeningJoon Jyoti Sahariah
 
Molecular docking and_virtual_screening
Molecular docking and_virtual_screeningMolecular docking and_virtual_screening
Molecular docking and_virtual_screeningFlorent Barbault
 
Qsar and drug design ppt
Qsar and drug design pptQsar and drug design ppt
Qsar and drug design pptAbhik Seal
 
Methods of Protein structure determination
Methods of  Protein structure determination Methods of  Protein structure determination
Methods of Protein structure determination EL Sayed Sabry
 

Was ist angesagt? (20)

MOLECULAR DOCKING.pptx
MOLECULAR DOCKING.pptxMOLECULAR DOCKING.pptx
MOLECULAR DOCKING.pptx
 
docking
docking docking
docking
 
Virtual Screening in Drug Discovery
Virtual Screening in Drug DiscoveryVirtual Screening in Drug Discovery
Virtual Screening in Drug Discovery
 
Homology modelling
Homology modellingHomology modelling
Homology modelling
 
Structure based drug designing
Structure based drug designingStructure based drug designing
Structure based drug designing
 
De Novo Drug Design
De Novo Drug DesignDe Novo Drug Design
De Novo Drug Design
 
Molecular docking
Molecular dockingMolecular docking
Molecular docking
 
Pharmacophore mapping
Pharmacophore mapping Pharmacophore mapping
Pharmacophore mapping
 
Molecular docking
Molecular dockingMolecular docking
Molecular docking
 
Computational Drug Design
Computational Drug DesignComputational Drug Design
Computational Drug Design
 
Structure based and ligand based drug designing
Structure based and ligand based drug designingStructure based and ligand based drug designing
Structure based and ligand based drug designing
 
Protein Structure Determination
Protein Structure DeterminationProtein Structure Determination
Protein Structure Determination
 
Docking Score Functions
Docking Score FunctionsDocking Score Functions
Docking Score Functions
 
Denovo Drug Design
Denovo Drug DesignDenovo Drug Design
Denovo Drug Design
 
Energy minimization
Energy minimizationEnergy minimization
Energy minimization
 
Target identification and validation
Target identification and validationTarget identification and validation
Target identification and validation
 
Presentation on insilico drug design and virtual screening
Presentation on insilico drug design and virtual screeningPresentation on insilico drug design and virtual screening
Presentation on insilico drug design and virtual screening
 
Molecular docking and_virtual_screening
Molecular docking and_virtual_screeningMolecular docking and_virtual_screening
Molecular docking and_virtual_screening
 
Qsar and drug design ppt
Qsar and drug design pptQsar and drug design ppt
Qsar and drug design ppt
 
Methods of Protein structure determination
Methods of  Protein structure determination Methods of  Protein structure determination
Methods of Protein structure determination
 

Andere mochten auch

Introduction to sequence alignment
Introduction to sequence alignmentIntroduction to sequence alignment
Introduction to sequence alignmentKubuldinho
 
Molecular dynamics and Simulations
Molecular dynamics and SimulationsMolecular dynamics and Simulations
Molecular dynamics and SimulationsAbhilash Kannan
 
Multiple alignment
Multiple alignmentMultiple alignment
Multiple alignmentavrilcoghlan
 
Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignmentavrilcoghlan
 
Sequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsSequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsNikesh Narayanan
 
Chemistry of amino acids
Chemistry of amino acidsChemistry of amino acids
Chemistry of amino acidsNamrata Chhabra
 
Chemistry of amino acids
Chemistry of amino acidsChemistry of amino acids
Chemistry of amino acidsNamrata Chhabra
 

Andere mochten auch (9)

Introduction to sequence alignment
Introduction to sequence alignmentIntroduction to sequence alignment
Introduction to sequence alignment
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
 
Molecular dynamics and Simulations
Molecular dynamics and SimulationsMolecular dynamics and Simulations
Molecular dynamics and Simulations
 
MD Simulation
MD SimulationMD Simulation
MD Simulation
 
Multiple alignment
Multiple alignmentMultiple alignment
Multiple alignment
 
Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignment
 
Sequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsSequence Alignment In Bioinformatics
Sequence Alignment In Bioinformatics
 
Chemistry of amino acids
Chemistry of amino acidsChemistry of amino acids
Chemistry of amino acids
 
Chemistry of amino acids
Chemistry of amino acidsChemistry of amino acids
Chemistry of amino acids
 

Ähnlich wie Basics Of Molecular Docking

Pharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptPharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptDrVivekChauhan1
 
43_EMIJ-06-00212.pdf
43_EMIJ-06-00212.pdf43_EMIJ-06-00212.pdf
43_EMIJ-06-00212.pdfUmeshYadava1
 
Molecular docking.pptx
Molecular docking.pptxMolecular docking.pptx
Molecular docking.pptxDiptanshuSawai
 
De novo Drug Design By Yogesh Chaudhari.pptx
De novo Drug Design By  Yogesh Chaudhari.pptxDe novo Drug Design By  Yogesh Chaudhari.pptx
De novo Drug Design By Yogesh Chaudhari.pptxYogesh Chaudhari
 
cadd-191129134050 (1).pptx
cadd-191129134050 (1).pptxcadd-191129134050 (1).pptx
cadd-191129134050 (1).pptxNoorelhuda2
 
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...ijtsrd
 
Structure based drug design
Structure based drug designStructure based drug design
Structure based drug designADAM S
 
de novo drug design
de novo drug designde novo drug design
de novo drug designmojdeh y
 
Structural Bioinformatics.pdf
Structural Bioinformatics.pdfStructural Bioinformatics.pdf
Structural Bioinformatics.pdfRahmatEkoSanjaya1
 
COMPUTER AIDED DRUG DESIGN.pptx
COMPUTER AIDED DRUG DESIGN.pptxCOMPUTER AIDED DRUG DESIGN.pptx
COMPUTER AIDED DRUG DESIGN.pptxSumitMaji13
 
structure based drug design ppt
structure based drug design pptstructure based drug design ppt
structure based drug design pptJabir Hussain
 
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO csandit
 
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERY
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERYMOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERY
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERYRajratan Thorat
 
molecular docking screnning. pptx
molecular docking screnning. pptxmolecular docking screnning. pptx
molecular docking screnning. pptxPraveen kumar S
 

Ähnlich wie Basics Of Molecular Docking (20)

Pharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptPharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.ppt
 
43_EMIJ-06-00212.pdf
43_EMIJ-06-00212.pdf43_EMIJ-06-00212.pdf
43_EMIJ-06-00212.pdf
 
CADD
CADDCADD
CADD
 
Molecular docking.pptx
Molecular docking.pptxMolecular docking.pptx
Molecular docking.pptx
 
De novo Drug Design By Yogesh Chaudhari.pptx
De novo Drug Design By  Yogesh Chaudhari.pptxDe novo Drug Design By  Yogesh Chaudhari.pptx
De novo Drug Design By Yogesh Chaudhari.pptx
 
Denovo
DenovoDenovo
Denovo
 
Molecular docking.pptx
Molecular docking.pptxMolecular docking.pptx
Molecular docking.pptx
 
Molecular docking.pptx
Molecular docking.pptxMolecular docking.pptx
Molecular docking.pptx
 
cadd-191129134050 (1).pptx
cadd-191129134050 (1).pptxcadd-191129134050 (1).pptx
cadd-191129134050 (1).pptx
 
Molecular docking.pptx
Molecular docking.pptxMolecular docking.pptx
Molecular docking.pptx
 
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...
Review on Computational Bioinformatics and Molecular Modelling Novel Tool for...
 
Structure based drug design
Structure based drug designStructure based drug design
Structure based drug design
 
de novo drug design
de novo drug designde novo drug design
de novo drug design
 
Structural Bioinformatics.pdf
Structural Bioinformatics.pdfStructural Bioinformatics.pdf
Structural Bioinformatics.pdf
 
COMPUTER AIDED DRUG DESIGN.pptx
COMPUTER AIDED DRUG DESIGN.pptxCOMPUTER AIDED DRUG DESIGN.pptx
COMPUTER AIDED DRUG DESIGN.pptx
 
structure based drug design ppt
structure based drug design pptstructure based drug design ppt
structure based drug design ppt
 
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO
Stable Drug Designing by Minimizing Drug Protein Interaction Energy Using PSO
 
Applied Bioinformatics Assignment 5docx
Applied Bioinformatics Assignment  5docxApplied Bioinformatics Assignment  5docx
Applied Bioinformatics Assignment 5docx
 
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERY
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERYMOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERY
MOLECULAR DOCKING PRINCIPAL OF DRUG DISCOVERY
 
molecular docking screnning. pptx
molecular docking screnning. pptxmolecular docking screnning. pptx
molecular docking screnning. pptx
 

Kürzlich hochgeladen

Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLKochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLkantirani197
 
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flypumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flyPRADYUMMAURYA1
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformationAreesha Ahmad
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxFarihaAbdulRasheed
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticssakshisoni2385
 
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...Monika Rani
 
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedDelhi Call girls
 
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai YoungDubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Youngkajalvid75
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsOrtegaSyrineMay
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICEayushi9330
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedDelhi Call girls
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate ProfessorThyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professormuralinath2
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxseri bangash
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.Nitya salvi
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Silpa
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and ClassificationsAreesha Ahmad
 
300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptxryanrooker
 

Kürzlich hochgeladen (20)

Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLKochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
 
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit flypumpkin fruit fly, water melon fruit fly, cucumber fruit fly
pumpkin fruit fly, water melon fruit fly, cucumber fruit fly
 
Conjugation, transduction and transformation
Conjugation, transduction and transformationConjugation, transduction and transformation
Conjugation, transduction and transformation
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
 
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
Vip profile Call Girls In Lonavala 9748763073 For Genuine Sex Service At Just...
 
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 62, Noida Call girls :8448380779 Model Escorts | 100% verified
 
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai YoungDubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
Dubai Call Girls Beauty Face Teen O525547819 Call Girls Dubai Young
 
Grade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its FunctionsGrade 7 - Lesson 1 - Microscope and Its Functions
Grade 7 - Lesson 1 - Microscope and Its Functions
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
 
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verifiedConnaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
Connaught Place, Delhi Call girls :8448380779 Model Escorts | 100% verified
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate ProfessorThyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
 
Site Acceptance Test .
Site Acceptance Test                    .Site Acceptance Test                    .
Site Acceptance Test .
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
Bacterial Identification and Classifications
Bacterial Identification and ClassificationsBacterial Identification and Classifications
Bacterial Identification and Classifications
 
300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx300003-World Science Day For Peace And Development.pptx
300003-World Science Day For Peace And Development.pptx
 

Basics Of Molecular Docking

  • 2. Docking is a structure-based technique which attempts to find the “best” match, between two molecules.
  • 3. WHAT IS MOLECULAR DOCKING???? • In the field of molecular modeling, docking is a method which predicts the preferred orientation of one molecule to a second when bound to each other to form a stable complex. • Knowledge of the preferred orientation in turn may be used to predict the strength of association or binding affinity between two molecules using for example scoring functions. RECEPTOR LIGAND LIGAND-RECEPTOR COMPLEX
  • 4. WHY IS DOCKING IMPORTANT?  Signal Transduction :- The associations between biologically relevant molecules such as proteins, nucleic acids, carbohydrates, and lipids play a central role in signal transduction. Furthermore, the relative orientation of the two interacting partners may affect the type of signal produced (e.g., agonism vs antagonism). Therefore docking is useful for predicting both the strength and type of signal produced. Drug-Designing:- Docking is frequently used to predict the binding orientation of small molecule drug candidates to their protein targets in order to in turn predict the affinity and activity of the small molecule. Hence docking plays an important role in the rational design of drugs.
  • 5. Receptor or host or lock: The "receiving" molecule, most commonly a protein or other biopolymer. Ligand or guest or key: The complementary partner molecule which binds to the receptor. Ligands are most often small molecules but could also be another biopolymer. Docking: Computational simulation of a candidate ligand binding to a receptor. Binding mode: The orientation of the ligand relative to the receptor as well as the conformation of the ligand and receptor when bound to each other. Pose : A candidate binding mode. Scoring : The process of evaluating a particular pose by counting the number of favorable intermolecular interactions such as hydrogen bonds and hydrophobic contacts. Ranking : The process of classifying which ligands are most likely to interact favorably to a particular receptor based on the predicted free-energy of binding. DOCKING GLOSSARY
  • 6.
  • 7. DEFINITION OF THE PROBLEM One can think of molecular docking as a problem of “lock-and-key”, in which one wants to find the correct relative orientation of the “key” which will open up the “lock” (where on the surface of the lock is the key hole, which direction to turn the key after it is inserted, etc.)  However, since both the ligand and the protein are flexible, a “hand-in- glove” analogy is more appropriate than “lock-and-key”. During the course of the docking process, the ligand and the protein adjust their conformation to achieve an overall "best-fit" and this kind of conformational adjustment resulting in the overall binding is referred to as "induced-fit“.
  • 8. DOCKING APPROACHES SHAPE COMPLEMENTARITY:- One approach uses a matching technique that describes the protein and the ligand as complementary surfaces. SIMULATION:- The second approach simulates the actual docking process in which the ligand-protein pairwise interaction energies are calculated. Both approaches have significant advantages as well as some limitations. CALCULATE:- Hydrophilic and hydrophobic interactions. Hydrogen bond donated. Hydrogen bond accepted. Ligand orientation with best complementarity score. Binding affinities. Ionic interaction. Aromatic Interaction. Vander Waals’ forces Electrostatic forces Free energies.
  • 9. STEPS OF DOCKING Step 1: Start with Crystal Co-ordinates with target receptor. For example, -HIV-1 protease is the target receptor - Aspartyl groups are its active sites
  • 10. Step 2: Generate molecular surface for receptors.
  • 11. Step 3: Generate spheres to fill the active site of the receptor: The spheres become potential locations for ligand atoms.
  • 12. Step 4: Sphere centres are then matched with the ligand atoms, to determine possible orientations for the ligand. Three scoring schemes: o Shape scoring, o Electrostatic scoring and o Force-field scoring. Step 5: Find the top scoring or the best ranking.
  • 13. APPLICATIONS OF MOLECULAR DOCKING Determination of the lowest free energy structures for the receptor-ligand complex. Calculate the differential binding of a ligand to two different macromolecular receptors. Study the geometry of a particular complex. Propose modification of lead molecules to optimize potency or other properties. De novo design for lead generation. Library design. Screening for the side effects that can be caused by interactions with other molecules. To check the specificity of the potential drug against homologous proteins through docking. Docking is also a widely used tool for predicting protein-protein interaction. Knowledge of the molecular associations aid in understanding a variety of pathways taking place in the living and in revealing of the possible pharmacological targets. Protein-ligand docking can also be used to predict pollutants that can be degraded by enzymes.
  • 14. COMMON SOFTWARES USED FOR DOCKING PURPOSE 1. UCSF DOCK- USA (1988)
  • 15. 2. AUTODOCK- USA (1990) AutoDock is a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. Current distributions of AutoDock consist of two generations of software: AutoDock 4 and AutoDock Vina.
  • 16. 3. FlexX- Germany (1996) Receptor is treated as rigid. Incremental construction algorithm: Break Ligand up into rigid fragments Dock fragments into pocket of receptor Reassemble ligand from fragments. Energy conformations
  • 17. 4. GOLD- UK (1995) Performs automated docking with full acyclic ligand flexibility, partial cyclic ligand flexibility and partial protein flexibility in and around active site. Scoring: includes H-bonding term, pairwise dispersion potential (hydrophobic interactions), molecular and mechanics term for internal energy
  • 18. OTHER SOFTWARES AADS- India (2011) ADAM- Japan (1994) BetaDock- South Korea (2011) DARWIN- USA (2000) DIVALI- USA (1995) DockVision- Canada (1992) EADock- Switzerland (2007)
  • 19. Understanding the ruling principles whereby protein receptors recognize, interact, and associate with molecular substrates and inhibitors is of paramount importance in drug discovery efforts. Protein-ligand docking aims to predict and rank the structure(s) arising from the association between a given ligand and a target protein of known 3D structure. Despite the breathtaking advances in the field over the last decades and the widespread application of docking methods, several downsides still exist. In particular, protein flexibility-a critical aspect for a thorough understanding of the principles that guide ligand binding in proteins-is a major hurdle in current protein-ligand docking efforts that needs to be more efficiently accounted for. In this review the key concepts of protein-ligand docking methods are outlined, with major emphasis being given to the general strengths and weaknesses that presently characterize this methodology. Despite the size of the field, the principal types of search algorithms and scoring functions are reviewed and the most popular docking tools are briefly depicted. CONCLUSION
  • 20. REFERENCES 1. Lengauer T, Rarey M (1996). "Computational methods for biomolecular docking". Curr. Opin. Struct. Biol. 6 (3): 402–6. doi:10.1016/S0959-440X(96)80061- 3. PMID 8804827 2. Jorgensen WL (1991). "Rusting of the lock and key model for protein-ligand binding".Science 254 (5034): 954–5. doi:10.1126/science.1719636. PMID 1719636 3. http://www.crcnetbase.com/doi/abs/10.1201/9781420028775.ch3 4. http://www.ccdc.cam.ac.uk/Solutions/GoldSuite/Pages/GOLD.aspx 5. Wei BQ, Weaver LH, Ferrari AM, Matthews BW, Shoichet BK (2004). "Testing a flexible-receptor docking algorithm in a model binding site". J. Mol. Biol. 337 (5): 1161–82.doi:10.1016/j.jmb.2004.02.015. PMID 15046985 6. http://autodock.scripps.edu/ 7. http://www.ibms.kmu.edu.pk/sites/ibms.kmu.edu.pk/files/downloads/Dr.%20Abdu l%20Wadood.pdf