SlideShare a Scribd company logo
1 of 2
Download to read offline
Inhibition of Protein-protein Interactions in Mycobacterium
Tuberculosis through Drug Screening
Team Mycobacterium Tuberculosis (MTB)
Authors: Pradip Ramamurti, Malik Antoine, Paige Chan, He Chun, Elizabeth Corley, Isaac Jeong, Christopher
Kim, Carolyn Lane, Ari Mandler, Nathaniel Nenortas, Michelle Nguyen, Ian Qian, James Tuo, Jimmy Zhang
Mentor: Volker Briken
Abstract
The bacterium Mycobacterium tuberculosis (Mtb) is the main causative agent of human
tuberculosis (TB). TB is typically characterized by large granulomas on the lungs where
the bacteria reside. Mtb is transmitted between humans through aerosol droplets
released when an infected individual coughs or expels fluid from their lungs. This has led
to an estimate that one in every three people in the world are infected with some form of
the disease. TB may remain in its latent form for the entirety of the patient’s life span. If
the infection progresses to active disease, the patient will have few viable options for
effective treatment, which is a large reason for the disease killing 1.3 million people
annually. Many of these people are located in developing countries and mortality rate is
increased in immunocompromised communities. Current treatments have been
rendered ineffective by the emergence of drug resistant strains of the pathogen.
The type VII secretion systems and signal transduction pathways of Mtb have been
shown to be vital to its virulence in the human body. Inhibition of the protein-protein
interactions in these pathways has been shown to result in attenuation of the pathogen.
The mycobacterial protein fragment complementation (M-PFC) assay has been shown to
be an accurate method to quantify the degree of interaction between a specific pair of
proteins in Mtb. Using the M-PFC assay, a drug panel can be screened to identify
inhibitors of protein-protein interactions important to virulence. By inhibiting these
specific interactions, a possible new treatment for TB can be identified. This new
treatment will has the potential to advance to clinical trials and eventually to patient
treatment.
Introduction
Tuberculosis, caused by the bacillus, Mycobacterium tuberculosis, is a highly contagious
and infectious disease that kills about 1.3 million people annually Despite current
research and treatments, TB is the second leading cause of death in several regions,
mainly in East Asia and Africa, and worldwide, one in three people are carriers for the
disease. The TB epidemic is magnified by the emergence of multidrug resistant strains
such as mycobacteria MDR-TB and XDR-TB, which are resistant to rifampicin and
isoniazid, two of the leading treatments.
Specific Aims
1. Establish a High-Throughput Liquid Screening Assay
2. Construct Desired Fusion Proteins for the Mycobacterial Protein Fragment
Complementation (MPFC) System to Test for Protein-protein Interaction
3. Perform drug screenings on a multi-compound drug panel with our MPFC assay.
4. Validate our results by testing for potential false negatives and false positives.
Research Question
What established drugs can be repurposed to disrupt vital virulence pathways within Mycobacterium tuberculosis?
Use of M. smegmatis Model System
Mycobacterium smegmatis (Msm) was chosen to be the model organism because it
shares similar biosynthetic pathways and cell membrane types with Mycobacterium
tuberculosis (Mtb). Msm replicates much faster than Mtb and takes up DNA more
efficiently. While a colony of Mtb requires about three weeks to grow, a colony of Msm
requires only four days. A shorter doubling time and quicker transformation means
these assays will take less time to complete. Msm is nonpathogenic in humans and can
therefore be safely handled in Biosafety Level (BSL)-2 labs, while Mtb must be handled
in a BSL-3 lab.
Methodology
Compound Drug Library
The National Institute of Health’s Clinical Collection will provide the drug library that
will be used for this experiment. This library includes plated arrays of 446 small
molecules with known health benefits that were originally designed for other diseases,
but may have untapped potential in disrupting mycobacterial biological pathways. As
these drugs have already passed clinical testing, they can be implemented more easily
than new compounds.
Expected Results
We hope that one or more of our drugs tested will give us a positive hit. After analyzing and collecting all of our
positive hits, we could perform a cytotoxicity screen against HEPG2 and HEK293 human cell lines for liver and
kidney cells, respectively. It is important to test cytotoxicity toward human cells because if a drug is effective against
our protein interaction but is toxic toward human cells, it is not a viable candidate for future clinical testing. We will
be using liver and kidney cell lines because those organs are responsible for filtering toxins from the blood, which
means that they will be exposed to our drugs in the highest concentrations in the body.
Future Testing
Compound Structure Analysis
• Any drugs which result in a positive hit or exhibit toxicity toward human cells should be analyzed on a
structural basis to determine if there are any other compounds that exist in the same family. A drug family is
categorized by a group of compounds that share many similar structural characteristics
• If any compounds like this can be identified, we can look into possibly requesting to have those sent to us by
NIH or synthesized for us by an organic chemist. By further analyzing drug families similar to molecules already
found to be effective, we would hope to find a plethora of possible drugs based on structural similarities to
already defined positive hits.
Dose- Response Relationship
• If a compound yields a positive result and we have enough of it for further testing after our cytotoxicity assay,
we could try and develop a dose-response relationship
• Testing in virulent Mtb to ensure that the drugs are effective in the true disease causing bacteria.
References
Abate, G., Mshana, R. N., & Miörner, H. (1998). Evaluation of a colorimetric assay based on 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) for rapid detection of rifampicin resistance in Mycobacterium
tuberculosis. International Journal of Tuberculosis and Lung Disease 2(12), 1011-6.Clark, K. L., Larsen, P. B., Wang, X., & Chang, C. (1998). Association of the Arabidopsis CTR1 Raf-like kinase with the ETR1 and ERS ethylene receptors.
PNAS, 95(9), 5401-5406.Dziedzic, R., Kiran, M., Plocinski, P., Ziolkiewicz, M., Brzostek, A., Moomey, M., & Rajagopalan, M. (2010). Mycobacterium tuberculosis ClpX interacts with FtsZ and interferes with FtsZ assembly. PloS one, 5(7).
Mai, D., Jones, J., Rodgers, J.W., Hartman IV, J.L., Kutsch, O., & Steyn, A.J. (2011). A screen to identify small molecule inhibitors of protein-protein interactions in mycobacteria. Assay and drug development technologies, 9(3), 299-310.New
England BioLab Inc. (2014). Molecular Cloning Technical Guide. Retrieved from http://www.neb.com/~/media/NebUs/Files/Brochures/Cloning_Guide_1113.pdfPeñuelas-Urquides, K., Silva-Ramírez, B., Rivadeneyra-Espinoza, L., &
Said-Fernández, S. (2013) Measuring of Mycobacterium tuberculosis growth. A correlation of the optical measurements with colony forming units. Brazilian Journal of Microbiology, 44(1), 287–290.Singh, A., Mai, D., Kumar, A., & Steyn,
A. (2006). Dissecting virulence pathways of Mycobacterium tuberculosis through protein-protein association. Proceedings of the National Academy of Sciences, 103(30), 11346-11351.Tiwari, B. M., Kannan, N., Vemu, L., & Raghunand, T.
R. (2012). The Mycobacterium tuberculosis PE proteins Rv0285 and Rv1386 modulate innate immunity and mediate bacillary survival in macrophages. PloS one, 7(12).
Velmurugan, K., Chen, B., Miller, J., Azogue, S., Gurses, S., Hsu, T., Briken, V. (2010). Mycobacterium tuberculosis nuoG is a virulence gene that inhibits apoptosis of infected host cells. PLoS Pathogens, 3(7).
The M-PFC assay is specifically designed to detect cytoplasmic and
membrane-bound protein interactions within mycobacterium cells
Using M-PFC plasmids containing mDHFR domain genes, the plasmids
can be digested producing sticky ends, which can then be combined
and ligated together to produce an assembled vector
Using the M-PFC assay, we will be able to detect whether the drugs
used interact with the proteins, preventing the protein-protein
interaction, and expressing a blue color
In order to disprove false positive and negative results, we will
perform a screen that involves testing compounds with the M-PFC
assay and no TRIM in triplicate form
Final MTBNZ.pptx

More Related Content

What's hot

Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
Ira Dicker
 
Genomics and proteomics
Genomics and proteomicsGenomics and proteomics
Genomics and proteomics
Amshumala S
 
BiPday 2014 -- Santorsola Mariangela
BiPday 2014 -- Santorsola MariangelaBiPday 2014 -- Santorsola Mariangela
BiPday 2014 -- Santorsola Mariangela
eventi-ITBbari
 
Effect of the Gayatri Mantra Playing on Microbial Load in Room Air
Effect of the Gayatri Mantra Playing on Microbial Load in Room AirEffect of the Gayatri Mantra Playing on Microbial Load in Room Air
Effect of the Gayatri Mantra Playing on Microbial Load in Room Air
Bhoj Raj Singh
 
IOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
IOSRPHR(www.iosrphr.org) IOSR Journal of PharmacyIOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
IOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
iosrphr_editor
 
Ransbotyn et al PUBLISHED (1)
Ransbotyn et al PUBLISHED (1)Ransbotyn et al PUBLISHED (1)
Ransbotyn et al PUBLISHED (1)
Tania Acuna
 
Drug resistant tuberculosis: A diagnostic challenge
Drug resistant tuberculosis: A diagnostic challengeDrug resistant tuberculosis: A diagnostic challenge
Drug resistant tuberculosis: A diagnostic challenge
Dr Muktikesh Dash, MD, PGDFM
 

What's hot (20)

Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
Mechanistic Studies and Modeling Reveal the Origin of Differential Inhibition...
 
Nanotechnology based drug delivery systems for the treatment of tuberculosis
Nanotechnology based drug delivery systems for the treatment of tuberculosisNanotechnology based drug delivery systems for the treatment of tuberculosis
Nanotechnology based drug delivery systems for the treatment of tuberculosis
 
Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on...
Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on...Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on...
Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on...
 
Metabolomics: The Next Generation of Biochemistry
Metabolomics: The Next Generation of BiochemistryMetabolomics: The Next Generation of Biochemistry
Metabolomics: The Next Generation of Biochemistry
 
Una revisión de los conocimientos fundamentales de la biología de la célula. ...
Una revisión de los conocimientos fundamentales de la biología de la célula. ...Una revisión de los conocimientos fundamentales de la biología de la célula. ...
Una revisión de los conocimientos fundamentales de la biología de la célula. ...
 
Genomics and proteomics
Genomics and proteomicsGenomics and proteomics
Genomics and proteomics
 
Metagenomics
MetagenomicsMetagenomics
Metagenomics
 
BiPday 2014 -- Santorsola Mariangela
BiPday 2014 -- Santorsola MariangelaBiPday 2014 -- Santorsola Mariangela
BiPday 2014 -- Santorsola Mariangela
 
Journal.pmed.1001843
Journal.pmed.1001843Journal.pmed.1001843
Journal.pmed.1001843
 
Effect of the Gayatri Mantra Playing on Microbial Load in Room Air
Effect of the Gayatri Mantra Playing on Microbial Load in Room AirEffect of the Gayatri Mantra Playing on Microbial Load in Room Air
Effect of the Gayatri Mantra Playing on Microbial Load in Room Air
 
IOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
IOSRPHR(www.iosrphr.org) IOSR Journal of PharmacyIOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
IOSRPHR(www.iosrphr.org) IOSR Journal of Pharmacy
 
Ransbotyn et al PUBLISHED (1)
Ransbotyn et al PUBLISHED (1)Ransbotyn et al PUBLISHED (1)
Ransbotyn et al PUBLISHED (1)
 
World-wide data exchange in metabolomics, Wageningen, October 2016
World-wide data exchange in metabolomics, Wageningen, October 2016World-wide data exchange in metabolomics, Wageningen, October 2016
World-wide data exchange in metabolomics, Wageningen, October 2016
 
ANTITUBERCULOSIS ACTIVITY OF ETHANOLIC EXTRACT OF MIMBA (Azadirachta indica J...
ANTITUBERCULOSIS ACTIVITY OF ETHANOLIC EXTRACT OF MIMBA (Azadirachta indica J...ANTITUBERCULOSIS ACTIVITY OF ETHANOLIC EXTRACT OF MIMBA (Azadirachta indica J...
ANTITUBERCULOSIS ACTIVITY OF ETHANOLIC EXTRACT OF MIMBA (Azadirachta indica J...
 
Tumor neoantigenes:building a framework for personalized cancer immunotherapy
Tumor neoantigenes:building a framework for personalized cancer immunotherapyTumor neoantigenes:building a framework for personalized cancer immunotherapy
Tumor neoantigenes:building a framework for personalized cancer immunotherapy
 
Prediction of antitubercular_peptides_from_sequenc
Prediction of antitubercular_peptides_from_sequencPrediction of antitubercular_peptides_from_sequenc
Prediction of antitubercular_peptides_from_sequenc
 
Biofilms
BiofilmsBiofilms
Biofilms
 
Brn jm anto-11062014
Brn jm anto-11062014Brn jm anto-11062014
Brn jm anto-11062014
 
Drug resistant tuberculosis: A diagnostic challenge
Drug resistant tuberculosis: A diagnostic challengeDrug resistant tuberculosis: A diagnostic challenge
Drug resistant tuberculosis: A diagnostic challenge
 
POSTER: Characterization studies of the mad rat: Type 1 Diabetes
POSTER: Characterization studies of the mad rat: Type 1 DiabetesPOSTER: Characterization studies of the mad rat: Type 1 Diabetes
POSTER: Characterization studies of the mad rat: Type 1 Diabetes
 

Viewers also liked (7)

FINAL MTB PROPOSAL EDITED WITH PROTOCOLS
FINAL MTB PROPOSAL EDITED WITH PROTOCOLSFINAL MTB PROPOSAL EDITED WITH PROTOCOLS
FINAL MTB PROPOSAL EDITED WITH PROTOCOLS
 
MTB- MLE
MTB- MLEMTB- MLE
MTB- MLE
 
what is mother-tongue based teaching?
what is mother-tongue based teaching?what is mother-tongue based teaching?
what is mother-tongue based teaching?
 
Compound Words
Compound WordsCompound Words
Compound Words
 
Compound words ppt
Compound words pptCompound words ppt
Compound words ppt
 
K TO 12 GRADE 1 LEARNING MATERIAL IN MOTHER TONGUE BASE (Q3-Q4)
K TO 12 GRADE 1 LEARNING MATERIAL IN MOTHER TONGUE BASE (Q3-Q4)K TO 12 GRADE 1 LEARNING MATERIAL IN MOTHER TONGUE BASE (Q3-Q4)
K TO 12 GRADE 1 LEARNING MATERIAL IN MOTHER TONGUE BASE (Q3-Q4)
 
Mother Tongue Based - Multilingual Education (MTB-MLE) in Philippines
Mother Tongue Based - Multilingual Education (MTB-MLE) in PhilippinesMother Tongue Based - Multilingual Education (MTB-MLE) in Philippines
Mother Tongue Based - Multilingual Education (MTB-MLE) in Philippines
 

Similar to Final MTBNZ.pptx

Meta analysis of molecular property patterns and filtering of public datasets...
Meta analysis of molecular property patterns and filtering of public datasets...Meta analysis of molecular property patterns and filtering of public datasets...
Meta analysis of molecular property patterns and filtering of public datasets...
US Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
 
Biotechnology And Chemical Weapons Control
Biotechnology And Chemical Weapons ControlBiotechnology And Chemical Weapons Control
Biotechnology And Chemical Weapons Control
guest971b1073
 
Multiplex Detection of Antimicrobial Resistance Genes.pdf
Multiplex Detection of Antimicrobial Resistance Genes.pdfMultiplex Detection of Antimicrobial Resistance Genes.pdf
Multiplex Detection of Antimicrobial Resistance Genes.pdf
MaNoLo440315
 
Ratycz ADT Fellowship 2015
Ratycz ADT Fellowship 2015Ratycz ADT Fellowship 2015
Ratycz ADT Fellowship 2015
Connor Ratycz
 
GCMA-Tackling the menace of MDR gram negative pathogens with a novel BL-BLI-...
GCMA-Tackling the menace of MDR gram negative pathogens with a  novel BL-BLI-...GCMA-Tackling the menace of MDR gram negative pathogens with a  novel BL-BLI-...
GCMA-Tackling the menace of MDR gram negative pathogens with a novel BL-BLI-...
Jigar Mehta
 

Similar to Final MTBNZ.pptx (20)

Application of Biomedical Informatics in Clinical Problem Solving
Application of Biomedical Informatics in Clinical Problem SolvingApplication of Biomedical Informatics in Clinical Problem Solving
Application of Biomedical Informatics in Clinical Problem Solving
 
Meta analysis of molecular property patterns and filtering of public datasets...
Meta analysis of molecular property patterns and filtering of public datasets...Meta analysis of molecular property patterns and filtering of public datasets...
Meta analysis of molecular property patterns and filtering of public datasets...
 
Use cases
Use casesUse cases
Use cases
 
Biotechnology And Chemical Weapons Control
Biotechnology And Chemical Weapons ControlBiotechnology And Chemical Weapons Control
Biotechnology And Chemical Weapons Control
 
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecu...
 
Drugs Discovery and Development from Microbial Genome.pptx
Drugs Discovery and Development from Microbial Genome.pptxDrugs Discovery and Development from Microbial Genome.pptx
Drugs Discovery and Development from Microbial Genome.pptx
 
Molecular Methods of Testing Tuberculosis Resistant to Antibiotics in Patient...
Molecular Methods of Testing Tuberculosis Resistant to Antibiotics in Patient...Molecular Methods of Testing Tuberculosis Resistant to Antibiotics in Patient...
Molecular Methods of Testing Tuberculosis Resistant to Antibiotics in Patient...
 
npjsba201634-2
npjsba201634-2npjsba201634-2
npjsba201634-2
 
Deciphering drug resistance in mtb using wgs
Deciphering drug resistance in mtb using wgsDeciphering drug resistance in mtb using wgs
Deciphering drug resistance in mtb using wgs
 
Multiplex Detection of Antimicrobial Resistance Genes.pdf
Multiplex Detection of Antimicrobial Resistance Genes.pdfMultiplex Detection of Antimicrobial Resistance Genes.pdf
Multiplex Detection of Antimicrobial Resistance Genes.pdf
 
Ratycz ADT Fellowship 2015
Ratycz ADT Fellowship 2015Ratycz ADT Fellowship 2015
Ratycz ADT Fellowship 2015
 
Peruzzi2015
Peruzzi2015Peruzzi2015
Peruzzi2015
 
GCMA-Tackling the menace of MDR gram negative pathogens with a novel BL-BLI-...
GCMA-Tackling the menace of MDR gram negative pathogens with a  novel BL-BLI-...GCMA-Tackling the menace of MDR gram negative pathogens with a  novel BL-BLI-...
GCMA-Tackling the menace of MDR gram negative pathogens with a novel BL-BLI-...
 
Genomics and proteomics in drug discovery and development
Genomics and proteomics in drug discovery and developmentGenomics and proteomics in drug discovery and development
Genomics and proteomics in drug discovery and development
 
Genomics in Society: Genomics, Preventive Medicine, and Society
Genomics in Society: Genomics, Preventive Medicine, and SocietyGenomics in Society: Genomics, Preventive Medicine, and Society
Genomics in Society: Genomics, Preventive Medicine, and Society
 
Metrif
MetrifMetrif
Metrif
 
Pham2018
Pham2018Pham2018
Pham2018
 
Mycobacterium tuberculosis
Mycobacterium tuberculosisMycobacterium tuberculosis
Mycobacterium tuberculosis
 
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...
 
Plegable biología 1
Plegable biología 1Plegable biología 1
Plegable biología 1
 

Final MTBNZ.pptx

  • 1. Inhibition of Protein-protein Interactions in Mycobacterium Tuberculosis through Drug Screening Team Mycobacterium Tuberculosis (MTB) Authors: Pradip Ramamurti, Malik Antoine, Paige Chan, He Chun, Elizabeth Corley, Isaac Jeong, Christopher Kim, Carolyn Lane, Ari Mandler, Nathaniel Nenortas, Michelle Nguyen, Ian Qian, James Tuo, Jimmy Zhang Mentor: Volker Briken Abstract The bacterium Mycobacterium tuberculosis (Mtb) is the main causative agent of human tuberculosis (TB). TB is typically characterized by large granulomas on the lungs where the bacteria reside. Mtb is transmitted between humans through aerosol droplets released when an infected individual coughs or expels fluid from their lungs. This has led to an estimate that one in every three people in the world are infected with some form of the disease. TB may remain in its latent form for the entirety of the patient’s life span. If the infection progresses to active disease, the patient will have few viable options for effective treatment, which is a large reason for the disease killing 1.3 million people annually. Many of these people are located in developing countries and mortality rate is increased in immunocompromised communities. Current treatments have been rendered ineffective by the emergence of drug resistant strains of the pathogen. The type VII secretion systems and signal transduction pathways of Mtb have been shown to be vital to its virulence in the human body. Inhibition of the protein-protein interactions in these pathways has been shown to result in attenuation of the pathogen. The mycobacterial protein fragment complementation (M-PFC) assay has been shown to be an accurate method to quantify the degree of interaction between a specific pair of proteins in Mtb. Using the M-PFC assay, a drug panel can be screened to identify inhibitors of protein-protein interactions important to virulence. By inhibiting these specific interactions, a possible new treatment for TB can be identified. This new treatment will has the potential to advance to clinical trials and eventually to patient treatment. Introduction Tuberculosis, caused by the bacillus, Mycobacterium tuberculosis, is a highly contagious and infectious disease that kills about 1.3 million people annually Despite current research and treatments, TB is the second leading cause of death in several regions, mainly in East Asia and Africa, and worldwide, one in three people are carriers for the disease. The TB epidemic is magnified by the emergence of multidrug resistant strains such as mycobacteria MDR-TB and XDR-TB, which are resistant to rifampicin and isoniazid, two of the leading treatments. Specific Aims 1. Establish a High-Throughput Liquid Screening Assay 2. Construct Desired Fusion Proteins for the Mycobacterial Protein Fragment Complementation (MPFC) System to Test for Protein-protein Interaction 3. Perform drug screenings on a multi-compound drug panel with our MPFC assay. 4. Validate our results by testing for potential false negatives and false positives. Research Question What established drugs can be repurposed to disrupt vital virulence pathways within Mycobacterium tuberculosis? Use of M. smegmatis Model System Mycobacterium smegmatis (Msm) was chosen to be the model organism because it shares similar biosynthetic pathways and cell membrane types with Mycobacterium tuberculosis (Mtb). Msm replicates much faster than Mtb and takes up DNA more efficiently. While a colony of Mtb requires about three weeks to grow, a colony of Msm requires only four days. A shorter doubling time and quicker transformation means these assays will take less time to complete. Msm is nonpathogenic in humans and can therefore be safely handled in Biosafety Level (BSL)-2 labs, while Mtb must be handled in a BSL-3 lab. Methodology Compound Drug Library The National Institute of Health’s Clinical Collection will provide the drug library that will be used for this experiment. This library includes plated arrays of 446 small molecules with known health benefits that were originally designed for other diseases, but may have untapped potential in disrupting mycobacterial biological pathways. As these drugs have already passed clinical testing, they can be implemented more easily than new compounds. Expected Results We hope that one or more of our drugs tested will give us a positive hit. After analyzing and collecting all of our positive hits, we could perform a cytotoxicity screen against HEPG2 and HEK293 human cell lines for liver and kidney cells, respectively. It is important to test cytotoxicity toward human cells because if a drug is effective against our protein interaction but is toxic toward human cells, it is not a viable candidate for future clinical testing. We will be using liver and kidney cell lines because those organs are responsible for filtering toxins from the blood, which means that they will be exposed to our drugs in the highest concentrations in the body. Future Testing Compound Structure Analysis • Any drugs which result in a positive hit or exhibit toxicity toward human cells should be analyzed on a structural basis to determine if there are any other compounds that exist in the same family. A drug family is categorized by a group of compounds that share many similar structural characteristics • If any compounds like this can be identified, we can look into possibly requesting to have those sent to us by NIH or synthesized for us by an organic chemist. By further analyzing drug families similar to molecules already found to be effective, we would hope to find a plethora of possible drugs based on structural similarities to already defined positive hits. Dose- Response Relationship • If a compound yields a positive result and we have enough of it for further testing after our cytotoxicity assay, we could try and develop a dose-response relationship • Testing in virulent Mtb to ensure that the drugs are effective in the true disease causing bacteria. References Abate, G., Mshana, R. N., & Miörner, H. (1998). Evaluation of a colorimetric assay based on 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) for rapid detection of rifampicin resistance in Mycobacterium tuberculosis. International Journal of Tuberculosis and Lung Disease 2(12), 1011-6.Clark, K. L., Larsen, P. B., Wang, X., & Chang, C. (1998). Association of the Arabidopsis CTR1 Raf-like kinase with the ETR1 and ERS ethylene receptors. PNAS, 95(9), 5401-5406.Dziedzic, R., Kiran, M., Plocinski, P., Ziolkiewicz, M., Brzostek, A., Moomey, M., & Rajagopalan, M. (2010). Mycobacterium tuberculosis ClpX interacts with FtsZ and interferes with FtsZ assembly. PloS one, 5(7). Mai, D., Jones, J., Rodgers, J.W., Hartman IV, J.L., Kutsch, O., & Steyn, A.J. (2011). A screen to identify small molecule inhibitors of protein-protein interactions in mycobacteria. Assay and drug development technologies, 9(3), 299-310.New England BioLab Inc. (2014). Molecular Cloning Technical Guide. Retrieved from http://www.neb.com/~/media/NebUs/Files/Brochures/Cloning_Guide_1113.pdfPeñuelas-Urquides, K., Silva-Ramírez, B., Rivadeneyra-Espinoza, L., & Said-Fernández, S. (2013) Measuring of Mycobacterium tuberculosis growth. A correlation of the optical measurements with colony forming units. Brazilian Journal of Microbiology, 44(1), 287–290.Singh, A., Mai, D., Kumar, A., & Steyn, A. (2006). Dissecting virulence pathways of Mycobacterium tuberculosis through protein-protein association. Proceedings of the National Academy of Sciences, 103(30), 11346-11351.Tiwari, B. M., Kannan, N., Vemu, L., & Raghunand, T. R. (2012). The Mycobacterium tuberculosis PE proteins Rv0285 and Rv1386 modulate innate immunity and mediate bacillary survival in macrophages. PloS one, 7(12). Velmurugan, K., Chen, B., Miller, J., Azogue, S., Gurses, S., Hsu, T., Briken, V. (2010). Mycobacterium tuberculosis nuoG is a virulence gene that inhibits apoptosis of infected host cells. PLoS Pathogens, 3(7). The M-PFC assay is specifically designed to detect cytoplasmic and membrane-bound protein interactions within mycobacterium cells Using M-PFC plasmids containing mDHFR domain genes, the plasmids can be digested producing sticky ends, which can then be combined and ligated together to produce an assembled vector Using the M-PFC assay, we will be able to detect whether the drugs used interact with the proteins, preventing the protein-protein interaction, and expressing a blue color In order to disprove false positive and negative results, we will perform a screen that involves testing compounds with the M-PFC assay and no TRIM in triplicate form