SlideShare a Scribd company logo
1 of 23
Mining databases for understanding target recognition   Philip E. Bourne 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
Mining databases for understanding target recognition –  well the PDB anyway   Philip E. Bourne 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
“ If you remember 3 things from a lecture a week later it was a good lecture” from Ten Simple Rules for Making Good Oral Presentations PLoS Comp Biol 2007 3(4): e77 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
1. The PDB services almost 200,000 scientists per month, but you are special – take advantage of this offer 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
“ I want to review all multimeric quaternary complexes in the PDB that may be of interest in the understanding of allosteric mechanisms exhibited by such complexes” Jean-Pierre Changeux
03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
Its not as easy as it sounds.. Group II  Chaperonins - Open and Closed Conformation ,[object Object],3KFK 3KFB
Identify biological relatedness even if quaternary structures show variability
Methodology ,[object Object],[object Object],[object Object],Prlic et al 2010  Bioinformatics 10.1093/bioinformatics/btq572
Our scores allow to pick out unusual ones: 1Y01 Z-score: 6.23  Coverage 1:22  Coverage 2:59  TM-Score: 0.56 4HHB (self) Z-score: 8.49 Coverage 1:100  Coverage 2:100  TM-Score: 1.0 2W72 Distal site hemoglobin  mutant  AHSP bound to Fe(II)  alpha-hemoglobin Z-score: 7.02 Coverage 1:76 Coverage 2:100  TM-Score: 0.98
Long Term Goal ,[object Object],[object Object],[object Object],[object Object],03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
2. We have research tools, not part of the PDB (yet), which are important for discovering and characterizing protein receptors  03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Characterization of the Ligand Binding Site  - The Geometric Potential Xie and Bourne 2007  BMC Bioinformatics,  8(Suppl 4):S9
Discrimination Power of the Geometric Potential ,[object Object],100 0 Geometric Potential Scale Xie and Bourne 2007  BMC Bioinformatics,  8(Suppl 4):S9
Search for Similar Ligand Binding Sites L E R V K D L L E R V K D L Structure A Structure B ,[object Object],[object Object],Xie and Bourne 2008  PNAS , 105(14) 5441 http://funsite.sdsc.edu
3. We can undertake high-throughput hypothesis generation for protein-drug interactions on a proteome-wide scale 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
The TB-Drugome ,[object Object],[object Object],[object Object],[object Object],Kinnings et al 2010 PLoS Comp Biol  6(11): e1000976 Workshop in Allosteric and Orthosteric Ligands in Drug Action 03/12/11
1. Determine the TB Structural Proteome ,[object Object],284 1, 446 3, 996 2, 266 TB proteome homology models solved structures 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
2. Determine all Known Drug Binding Sites in the PDB ,[object Object],[object Object],No. of drug binding sites Methotrexate Chenodiol Alitretinoin Conjugated estrogens Darunavir Acarbose 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
Map 2 onto 1 – The TB-Drugome http://funsite.sdsc.edu/drugome/TB/ Similarities between the binding sites of  M.tb  proteins (blue),  and binding sites containing approved drugs (red).
From a Drug Repositioning Perspective ,[object Object],[object Object],No. of potential TB targets raloxifene alitretinoin conjugated estrogens & methotrexate ritonavir testosterone levothyroxine chenodiol 03/12/11
Top 5 Most Highly Connected Drugs 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action Drug Intended targets Indications No. of connections TB proteins levothyroxine transthyretin, thyroid hormone receptor  α  &  β -1, thyroxine-binding globulin, mu-crystallin homolog, serum albumin hypothyroidism, goiter, chronic lymphocytic thyroiditis, myxedema coma, stupor 14 adenylyl cyclase,  argR , bioD,  CRP/FNR trans. reg .,  ethR ,  glbN , glbO,  kasB ,  lrpA ,  nusA ,  prrA ,  secA1 ,  thyX ,  trans. reg. protein alitretinoin retinoic acid receptor RXR- α ,  β  &  γ , retinoic acid receptor  α ,  β  &  γ -1&2, cellular retinoic acid-binding protein 1&2 cutaneous lesions in patients with Kaposi's sarcoma 13 adenylyl cyclase,  aroG , bioD, bpoC,  CRP/FNR trans. reg. ,  cyp125 ,  embR ,  glbN ,  inhA ,  lppX ,  nusA ,  pknE ,  purN conjugated estrogens estrogen receptor menopausal vasomotor symptoms, osteoporosis, hypoestrogenism, primary ovarian failure 10 acetylglutamate kinase, adenylyl cyclase,  bphD ,  CRP/FNR trans. reg. ,  cyp121 , cysM,  inhA ,  mscL ,  pknB ,  sigC methotrexate dihydrofolate reductase, serum albumin gestational choriocarcinoma, chorioadenoma destruens, hydatidiform mole, severe psoriasis, rheumatoid arthritis 10 acetylglutamate kinase,  aroF ,  cmaA2 ,  CRP/FNR trans. reg. ,  cyp121 ,  cyp51 ,  lpd ,  mmaA4 ,  panC ,  usp   raloxifene estrogen receptor, estrogen receptor  β osteoporosis in post-menopausal women 9 adenylyl cyclase,  CRP/FNR   trans. reg.,  deoD,  inhA, pknB ,  pknE ,  Rv1347c ,  secA1, sigC
Acknowledgements Funding Agencies:  NSF, NIGMS, DOE, NLM, NCI,  NCRR, NIBIB, NINDS, NIDDK 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action

More Related Content

What's hot

Will the real proteins please stand up
Will the real proteins please stand upWill the real proteins please stand up
Will the real proteins please stand upChris Southan
 
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...thilakBalakrishnan
 
Polypharmacology - NBIC April 20, 2011
Polypharmacology - NBIC April 20, 2011Polypharmacology - NBIC April 20, 2011
Polypharmacology - NBIC April 20, 2011Philip Bourne
 
Protein Modeling And In-Silico Drug Designing Approach
Protein Modeling And In-Silico Drug Designing ApproachProtein Modeling And In-Silico Drug Designing Approach
Protein Modeling And In-Silico Drug Designing Approachbiinoida
 
final poster_072216_large_final
final poster_072216_large_finalfinal poster_072216_large_final
final poster_072216_large_finalJessica Hossa
 
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...IRJET Journal
 
MSBMB 2016 conference poster
MSBMB 2016 conference posterMSBMB 2016 conference poster
MSBMB 2016 conference posterNasiru Abdullahi
 
Synthesis of Novel Protected Na(x-Drug) Amino Acid Building
Synthesis of Novel Protected Na(x-Drug) Amino Acid BuildingSynthesis of Novel Protected Na(x-Drug) Amino Acid Building
Synthesis of Novel Protected Na(x-Drug) Amino Acid Buildingsagiv weintraub
 
The halo(gen) effect in para substituted phenyl rings - EuroCup2015
The halo(gen) effect in para substituted phenyl rings - EuroCup2015The halo(gen) effect in para substituted phenyl rings - EuroCup2015
The halo(gen) effect in para substituted phenyl rings - EuroCup2015Jonas Boström
 
STAR: Recombination site prediction
STAR: Recombination site predictionSTAR: Recombination site prediction
STAR: Recombination site predictionDenis C. Bauer
 
Effect of glycyrrhizic acid on protein binding of diltiazem,
Effect of glycyrrhizic acid on protein binding of diltiazem,Effect of glycyrrhizic acid on protein binding of diltiazem,
Effect of glycyrrhizic acid on protein binding of diltiazem,Grace Ginz Sinusinga
 
Towards Systems Pharmacology
Towards Systems PharmacologyTowards Systems Pharmacology
Towards Systems PharmacologyPhilip Bourne
 
In-Silico Drug Designing Approach
In-Silico Drug Designing ApproachIn-Silico Drug Designing Approach
In-Silico Drug Designing Approachguest14961b
 
Rings In (Candidate) Drugs - Case Stories
Rings In (Candidate) Drugs - Case StoriesRings In (Candidate) Drugs - Case Stories
Rings In (Candidate) Drugs - Case StoriesJonas Boström
 

What's hot (20)

Cancer Center112310
Cancer Center112310Cancer Center112310
Cancer Center112310
 
Will the real proteins please stand up
Will the real proteins please stand upWill the real proteins please stand up
Will the real proteins please stand up
 
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...
IN SILICO SCREENING TO ELUCIDATE THE ANTI-DIABETIC POTENTIALS OF SOME PHYTOCO...
 
Polypharmacology - NBIC April 20, 2011
Polypharmacology - NBIC April 20, 2011Polypharmacology - NBIC April 20, 2011
Polypharmacology - NBIC April 20, 2011
 
Protein Modeling And In-Silico Drug Designing Approach
Protein Modeling And In-Silico Drug Designing ApproachProtein Modeling And In-Silico Drug Designing Approach
Protein Modeling And In-Silico Drug Designing Approach
 
a-FMH Poster
a-FMH Postera-FMH Poster
a-FMH Poster
 
LSD1 - bmc-paper
LSD1 - bmc-paperLSD1 - bmc-paper
LSD1 - bmc-paper
 
final poster_072216_large_final
final poster_072216_large_finalfinal poster_072216_large_final
final poster_072216_large_final
 
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...
DFT Calculations and Insilico Drug Activity Predictions for The Bioactive Con...
 
MSBMB 2016 conference poster
MSBMB 2016 conference posterMSBMB 2016 conference poster
MSBMB 2016 conference poster
 
Synthesis of Novel Protected Na(x-Drug) Amino Acid Building
Synthesis of Novel Protected Na(x-Drug) Amino Acid BuildingSynthesis of Novel Protected Na(x-Drug) Amino Acid Building
Synthesis of Novel Protected Na(x-Drug) Amino Acid Building
 
The halo(gen) effect in para substituted phenyl rings - EuroCup2015
The halo(gen) effect in para substituted phenyl rings - EuroCup2015The halo(gen) effect in para substituted phenyl rings - EuroCup2015
The halo(gen) effect in para substituted phenyl rings - EuroCup2015
 
STAR: Recombination site prediction
STAR: Recombination site predictionSTAR: Recombination site prediction
STAR: Recombination site prediction
 
MI-4
MI-4MI-4
MI-4
 
Effect of glycyrrhizic acid on protein binding of diltiazem,
Effect of glycyrrhizic acid on protein binding of diltiazem,Effect of glycyrrhizic acid on protein binding of diltiazem,
Effect of glycyrrhizic acid on protein binding of diltiazem,
 
my article
my articlemy article
my article
 
Towards Systems Pharmacology
Towards Systems PharmacologyTowards Systems Pharmacology
Towards Systems Pharmacology
 
12102413
1210241312102413
12102413
 
In-Silico Drug Designing Approach
In-Silico Drug Designing ApproachIn-Silico Drug Designing Approach
In-Silico Drug Designing Approach
 
Rings In (Candidate) Drugs - Case Stories
Rings In (Candidate) Drugs - Case StoriesRings In (Candidate) Drugs - Case Stories
Rings In (Candidate) Drugs - Case Stories
 

Similar to Workshop031211

Network Pharmacology Tri-Con 022212
Network Pharmacology Tri-Con 022212Network Pharmacology Tri-Con 022212
Network Pharmacology Tri-Con 022212Philip Bourne
 
2013-12-04 Experimental data guided docking allows to elucidate the molecular...
2013-12-04 Experimental data guided docking allows to elucidate the molecular...2013-12-04 Experimental data guided docking allows to elucidate the molecular...
2013-12-04 Experimental data guided docking allows to elucidate the molecular...open_phacts
 
Accelrys UGM slides 2011
Accelrys UGM slides 2011Accelrys UGM slides 2011
Accelrys UGM slides 2011Sean Ekins
 
Determining stable ligand orientation
Determining stable ligand orientationDetermining stable ligand orientation
Determining stable ligand orientationijaia
 
Insilico methods for design of novel inhibitors of Human leukocyte elastase
Insilico methods for design of novel inhibitors of Human leukocyte elastaseInsilico methods for design of novel inhibitors of Human leukocyte elastase
Insilico methods for design of novel inhibitors of Human leukocyte elastaseJayashankar Lakshmanan
 
Finland Helsinki Drug Research slides 2011
Finland Helsinki Drug Research slides 2011Finland Helsinki Drug Research slides 2011
Finland Helsinki Drug Research slides 2011Sean Ekins
 
лекция 2 методы анализа
лекция 2 методы анализалекция 2 методы анализа
лекция 2 методы анализаnizhgma.ru
 
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...ICREA
 
Poster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathwayPoster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathwayGuide to PHARMACOLOGY
 
Unc slides on computational toxicology
Unc slides on computational toxicologyUnc slides on computational toxicology
Unc slides on computational toxicologySean Ekins
 
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryUCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryPhilip Bourne
 
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...Chris Southan
 
Pharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptPharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptDrVivekChauhan1
 
Systems Pharmacology as a tool for future therapy development: a feasibility ...
Systems Pharmacology as a tool for future therapy development: a feasibility ...Systems Pharmacology as a tool for future therapy development: a feasibility ...
Systems Pharmacology as a tool for future therapy development: a feasibility ...Guide to PHARMACOLOGY
 
Genomics and Proteomics - Impact on Drug Discovery
Genomics and Proteomics - Impact on Drug DiscoveryGenomics and Proteomics - Impact on Drug Discovery
Genomics and Proteomics - Impact on Drug DiscoveryPhilip Bourne
 
BioIT Drug induced liver injury talk 2011
BioIT Drug induced liver injury talk 2011BioIT Drug induced liver injury talk 2011
BioIT Drug induced liver injury talk 2011Sean Ekins
 
Systems Biology & Pharmacology from a Structural Perspective
Systems Biology & Pharmacology from a Structural PerspectiveSystems Biology & Pharmacology from a Structural Perspective
Systems Biology & Pharmacology from a Structural PerspectivePhilip Bourne
 
Prediction of protein function
Prediction of protein functionPrediction of protein function
Prediction of protein functionLars Juhl Jensen
 

Similar to Workshop031211 (20)

Network Pharmacology Tri-Con 022212
Network Pharmacology Tri-Con 022212Network Pharmacology Tri-Con 022212
Network Pharmacology Tri-Con 022212
 
2013-12-04 Experimental data guided docking allows to elucidate the molecular...
2013-12-04 Experimental data guided docking allows to elucidate the molecular...2013-12-04 Experimental data guided docking allows to elucidate the molecular...
2013-12-04 Experimental data guided docking allows to elucidate the molecular...
 
Genomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug DiscoveryGenomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug Discovery
 
Accelrys UGM slides 2011
Accelrys UGM slides 2011Accelrys UGM slides 2011
Accelrys UGM slides 2011
 
Determining stable ligand orientation
Determining stable ligand orientationDetermining stable ligand orientation
Determining stable ligand orientation
 
Insilico methods for design of novel inhibitors of Human leukocyte elastase
Insilico methods for design of novel inhibitors of Human leukocyte elastaseInsilico methods for design of novel inhibitors of Human leukocyte elastase
Insilico methods for design of novel inhibitors of Human leukocyte elastase
 
Finland Helsinki Drug Research slides 2011
Finland Helsinki Drug Research slides 2011Finland Helsinki Drug Research slides 2011
Finland Helsinki Drug Research slides 2011
 
лекция 2 методы анализа
лекция 2 методы анализалекция 2 методы анализа
лекция 2 методы анализа
 
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...
71st ICREA Colloquium "Intrinsically disordered proteins (id ps) the challeng...
 
Poster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathwayPoster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathway
 
Unc slides on computational toxicology
Unc slides on computational toxicologyUnc slides on computational toxicology
Unc slides on computational toxicology
 
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug DiscoveryUCSD Deans and Chairs Presentation - PDB & Drug Discovery
UCSD Deans and Chairs Presentation - PDB & Drug Discovery
 
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...
Exploiting Edinburgh's Guide to PHARMACOLOGY database as a source of protein ...
 
Pharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.pptPharmacophore Modeling and Docking Techniques.ppt
Pharmacophore Modeling and Docking Techniques.ppt
 
Systems Pharmacology as a tool for future therapy development: a feasibility ...
Systems Pharmacology as a tool for future therapy development: a feasibility ...Systems Pharmacology as a tool for future therapy development: a feasibility ...
Systems Pharmacology as a tool for future therapy development: a feasibility ...
 
2013 APCBEES MALAYSIA CONFERENCES
2013 APCBEES MALAYSIA CONFERENCES2013 APCBEES MALAYSIA CONFERENCES
2013 APCBEES MALAYSIA CONFERENCES
 
Genomics and Proteomics - Impact on Drug Discovery
Genomics and Proteomics - Impact on Drug DiscoveryGenomics and Proteomics - Impact on Drug Discovery
Genomics and Proteomics - Impact on Drug Discovery
 
BioIT Drug induced liver injury talk 2011
BioIT Drug induced liver injury talk 2011BioIT Drug induced liver injury talk 2011
BioIT Drug induced liver injury talk 2011
 
Systems Biology & Pharmacology from a Structural Perspective
Systems Biology & Pharmacology from a Structural PerspectiveSystems Biology & Pharmacology from a Structural Perspective
Systems Biology & Pharmacology from a Structural Perspective
 
Prediction of protein function
Prediction of protein functionPrediction of protein function
Prediction of protein function
 

More from Philip Bourne

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedPhilip Bourne
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationPhilip Bourne
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingPhilip Bourne
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityPhilip Bourne
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?Philip Bourne
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangePhilip Bourne
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug DiscoveryPhilip Bourne
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AlonePhilip Bourne
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchPhilip Bourne
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data SciencePhilip Bourne
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptxPhilip Bourne
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Philip Bourne
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision EducationPhilip Bourne
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data SciencePhilip Bourne
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Philip Bourne
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Philip Bourne
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance SustainabilityPhilip Bourne
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesPhilip Bourne
 

More from Philip Bourne (20)

Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
Data Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has ChangedData Science and AI in Biomedicine: The World has Changed
Data Science and AI in Biomedicine: The World has Changed
 
AI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a ConversationAI in Medical Education A Meta View to Start a Conversation
AI in Medical Education A Meta View to Start a Conversation
 
AI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We GoingAI+ Now and Then How Did We Get Here And Where Are We Going
AI+ Now and Then How Did We Get Here And Where Are We Going
 
Thoughts on Biological Data Sustainability
Thoughts on Biological Data SustainabilityThoughts on Biological Data Sustainability
Thoughts on Biological Data Sustainability
 
What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?What is FAIR Data and Who Needs It?
What is FAIR Data and Who Needs It?
 
Data Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything ChangeData Science Meets Biomedicine, Does Anything Change
Data Science Meets Biomedicine, Does Anything Change
 
Data Science Meets Drug Discovery
Data Science Meets Drug DiscoveryData Science Meets Drug Discovery
Data Science Meets Drug Discovery
 
Biomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not AloneBiomedical Data Science: We Are Not Alone
Biomedical Data Science: We Are Not Alone
 
BIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in ResearchBIMS7100-2023. Social Responsibility in Research
BIMS7100-2023. Social Responsibility in Research
 
AI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data ScienceAI from the Perspective of a School of Data Science
AI from the Perspective of a School of Data Science
 
What Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's ViewWhat Data Science Will Mean to You - One Person's View
What Data Science Will Mean to You - One Person's View
 
Novo Nordisk 080522.pptx
Novo Nordisk 080522.pptxNovo Nordisk 080522.pptx
Novo Nordisk 080522.pptx
 
Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)Towards a US Open research Commons (ORC)
Towards a US Open research Commons (ORC)
 
COVID and Precision Education
COVID and Precision EducationCOVID and Precision Education
COVID and Precision Education
 
One View of Data Science
One View of Data ScienceOne View of Data Science
One View of Data Science
 
Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?Cancer Research Meets Data Science — What Can We Do Together?
Cancer Research Meets Data Science — What Can We Do Together?
 
Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?Data Science Meets Open Scholarship – What Comes Next?
Data Science Meets Open Scholarship – What Comes Next?
 
Data to Advance Sustainability
Data to Advance SustainabilityData to Advance Sustainability
Data to Advance Sustainability
 
Frontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular ScalesFrontiers of Computing at the Cellular and Molecular Scales
Frontiers of Computing at the Cellular and Molecular Scales
 

Workshop031211

  • 1. Mining databases for understanding target recognition Philip E. Bourne 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 2. Mining databases for understanding target recognition – well the PDB anyway Philip E. Bourne 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 3. “ If you remember 3 things from a lecture a week later it was a good lecture” from Ten Simple Rules for Making Good Oral Presentations PLoS Comp Biol 2007 3(4): e77 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 4. 1. The PDB services almost 200,000 scientists per month, but you are special – take advantage of this offer 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 5. “ I want to review all multimeric quaternary complexes in the PDB that may be of interest in the understanding of allosteric mechanisms exhibited by such complexes” Jean-Pierre Changeux
  • 6. 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 7.
  • 8. Identify biological relatedness even if quaternary structures show variability
  • 9.
  • 10. Our scores allow to pick out unusual ones: 1Y01 Z-score: 6.23 Coverage 1:22 Coverage 2:59 TM-Score: 0.56 4HHB (self) Z-score: 8.49 Coverage 1:100 Coverage 2:100 TM-Score: 1.0 2W72 Distal site hemoglobin mutant AHSP bound to Fe(II) alpha-hemoglobin Z-score: 7.02 Coverage 1:76 Coverage 2:100 TM-Score: 0.98
  • 11.
  • 12. 2. We have research tools, not part of the PDB (yet), which are important for discovering and characterizing protein receptors 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 13.
  • 14.
  • 15.
  • 16. 3. We can undertake high-throughput hypothesis generation for protein-drug interactions on a proteome-wide scale 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action
  • 17.
  • 18.
  • 19.
  • 20. Map 2 onto 1 – The TB-Drugome http://funsite.sdsc.edu/drugome/TB/ Similarities between the binding sites of M.tb proteins (blue), and binding sites containing approved drugs (red).
  • 21.
  • 22. Top 5 Most Highly Connected Drugs 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action Drug Intended targets Indications No. of connections TB proteins levothyroxine transthyretin, thyroid hormone receptor α & β -1, thyroxine-binding globulin, mu-crystallin homolog, serum albumin hypothyroidism, goiter, chronic lymphocytic thyroiditis, myxedema coma, stupor 14 adenylyl cyclase, argR , bioD, CRP/FNR trans. reg ., ethR , glbN , glbO, kasB , lrpA , nusA , prrA , secA1 , thyX , trans. reg. protein alitretinoin retinoic acid receptor RXR- α , β & γ , retinoic acid receptor α , β & γ -1&2, cellular retinoic acid-binding protein 1&2 cutaneous lesions in patients with Kaposi's sarcoma 13 adenylyl cyclase, aroG , bioD, bpoC, CRP/FNR trans. reg. , cyp125 , embR , glbN , inhA , lppX , nusA , pknE , purN conjugated estrogens estrogen receptor menopausal vasomotor symptoms, osteoporosis, hypoestrogenism, primary ovarian failure 10 acetylglutamate kinase, adenylyl cyclase, bphD , CRP/FNR trans. reg. , cyp121 , cysM, inhA , mscL , pknB , sigC methotrexate dihydrofolate reductase, serum albumin gestational choriocarcinoma, chorioadenoma destruens, hydatidiform mole, severe psoriasis, rheumatoid arthritis 10 acetylglutamate kinase, aroF , cmaA2 , CRP/FNR trans. reg. , cyp121 , cyp51 , lpd , mmaA4 , panC , usp raloxifene estrogen receptor, estrogen receptor β osteoporosis in post-menopausal women 9 adenylyl cyclase, CRP/FNR trans. reg., deoD, inhA, pknB , pknE , Rv1347c , secA1, sigC
  • 23. Acknowledgements Funding Agencies: NSF, NIGMS, DOE, NLM, NCI, NCRR, NIBIB, NINDS, NIDDK 03/12/11 Workshop in Allosteric and Orthosteric Ligands in Drug Action

Editor's Notes

  1. P distance to environmental boundary; Pi Di and alphai D distance to central atom alpha direction to central atom
  2. 3,996 proteins in TB proteome 749 solved structures in the PDB, representing a total of 284 proteins (7.2% coverage) ModBase contains homology models for entire TB proteome 1,446 ‘high quality’ homology models were added to the data set Structural coverage increased to 43.8% Retained only those models with a model score of > 0.7 and a Modpipe quality score of > 1.1 (2818 models). There were multiple models per protein. For each TB protein, chose the model with the best model score, and if they were equal, chose the model with the best Modpipe quality score (1703 models). However, 251 (+6) models were removed since they correspond to TB proteins that already have solved structures. 1446 models remained) Score for the reliability of a Model, derived from statistical potentials (F. Melo, R. Sanchez, A. Sali,2001 PDF ). A model is predicted to be good when the model score is higher than a pre-specified cutoff (0.7). A reliable model has a probability of the correct fold that is larger than 95%. A fold is correct when at least 30% of its Calpha atoms superpose within 3.5A of their correct positions. The ModPipe Protein Quality Score is a composite score comprising sequence identity to the template, coverage , and the three individual scores evalue , z-Dope and GA341 . We consider a MPQS of >1.1 as reliable
  3. (nutraceuticals excluded)
  4. Multi-target therapy may be more effective than single-target therapy to treat infectious diseases Most of the proteins listed are potential novel drug targets for the development of efficient anti-tuberculosis chemotherapeutics. GSMN-TB : Genome Scale Metabolic Reaction Network of M.tb (http://sysbio/sbs.surrey.ac.uk/tb) 849 reactions, 739 metabolites, 726 genes Can optimize the model for in vivo growth Carry out multiple gene inhibition and compute the maximal theoretical growth rate (if close to zero, that combination of genes is essential for growth)