SlideShare a Scribd company logo
1 of 13
Structure, interaction and peptide specificity Using Structural Information To Predict Protein-Protein Interaction And Enzyme Specificity Neil Saunders , Thomas Huber, Bostjan Kobe School of Molecular and Microbial Sciences The University of Queensland http://predikin.biosci.uq.edu.au
Structure, interaction and peptide specificity Peptide specificity of protein kinases CK-2 PKA MAPK kinase ATP protein OH + protein O-P i kinase ADP +
Structure, interaction and peptide specificity Structural basis for peptide specificity PKA surface + heptapeptide RRA S IHD Schematic of heptapeptide + PKA SDRs
Structure, interaction and peptide specificity 1.  Identify key sequence residues reference   *->Yellkkl GkG aFGkVylardkktgrlv AiK vik..........eril Y+++k+lG+G+FGkV+la+++ tg++vA+K+i+++  +++ + ri+ query   55  YQIVKTL GE GS F GKVKLAYHTTTGQKV ALK IINkkvl aks dmqGRIE 101 -1  +2 X X   X  [ST]  X   X   X Prediction of peptide specificity from sequence kinase substrate
Structure, interaction and peptide specificity 2.  Query a database for similar protein kinases Q FS T VKG E QF S TVK R SV S EAA R SG S SPN R HD S GLD R RM S DEF A RG S FDA Query kinase kinases substrates sites
Structure, interaction and peptide specificity 3.  Build scoring matrices from peptides; score query substrates Score all XXX[STY]XXX kinase  substrate  score NP_001547   1  COA1   80   SSM S GLH  85.49 NP_001269   1  COA1   80   SSM S GLH  85.49 XP_042066  1  COA1  80  SSMSGLH  75.77 XP_001128827  1  COA1  80  SSMSGLH  75.77 NP_001013725  1  COA1  80  SSMSGLH  74.72 NP_004064  1  COA1  80  SSMSGLH  73.84 NP_006613  1  COA1  80  SSMSGLH  73.84 NP_001778  1  COA1  80  SSMSGLH  72.21 XP_001128005  1  COA1  80  SSMSGLH  72.21 NP_277021  1  COA1  80  SSMSGLH  72.21 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Structure, interaction and peptide specificity 4.  Evaluate scores serine/threonine CMGC Predikin  (SDR) 0.86 (0.04) 0.93 (0.02) GPS 0.83 0.94 KinasePhos 0.78 0.95 NetPhosK 0.90 0.57 PPSP 0.92 0.95 Scansite 0.95 0.94 ROC curve, CMGC kinases, Predikin SDR AROC values, Predikin v. competition
Structure, interaction and peptide specificity 5.  Publish! Nucleic Acid Res.   36:  W286-W290  (2008) BMC Bioinformatics   9:  245  (2008)
Structure, interaction and peptide specificity Where next for this approach? ,[object Object],[object Object],[object Object]
Structure, interaction and peptide specificity 1.  A more automated workflow Less visual inspection More computed analyses Queries Predictions Protein-peptide structures Define key contacts Database Models
Structure, interaction and peptide specificity 2.  Application to other systems? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Query # structures - 53 103 >= 2 chains 29 390 + >= 2 protein entities  8 306 + <= 2.5  Å    5 137 + > 90% non-redundant    1 168
Structure, interaction and peptide specificity 3.  Data curation and visualisation Model organisms kinases substrates sites queries visualisation prediction annotation
Structure, interaction and peptide specificity Summary & Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

Viewers also liked

Towards Biomedical Data Integration for Analyzing the Evolution of Cognition
Towards Biomedical Data Integration for Analyzing the Evolution of CognitionTowards Biomedical Data Integration for Analyzing the Evolution of Cognition
Towards Biomedical Data Integration for Analyzing the Evolution of CognitionAmrapali Zaveri, PhD
 
Identifying, annotating, and filtering arguments and opinions on the social w...
Identifying, annotating, and filtering arguments and opinions on the social w...Identifying, annotating, and filtering arguments and opinions on the social w...
Identifying, annotating, and filtering arguments and opinions on the social w...jodischneider
 
PhD viva - 11th November 2015
PhD viva - 11th November 2015PhD viva - 11th November 2015
PhD viva - 11th November 2015Kevin Keraudren
 
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Lars Juhl Jensen
 
Data Café — A Platform For Creating Biomedical Data Lakes
Data Café — A Platform For Creating Biomedical Data LakesData Café — A Platform For Creating Biomedical Data Lakes
Data Café — A Platform For Creating Biomedical Data LakesPradeeban Kathiravelu, Ph.D.
 
Aidan's PhD Viva
Aidan's PhD VivaAidan's PhD Viva
Aidan's PhD VivaAidan Hogan
 
2016 07 12_purdue_bigdatainomics_seandavis
2016 07 12_purdue_bigdatainomics_seandavis2016 07 12_purdue_bigdatainomics_seandavis
2016 07 12_purdue_bigdatainomics_seandavisSean Davis
 
Sabrina Kirrane INSIGHT Viva Presentation
Sabrina Kirrane INSIGHT Viva Presentation Sabrina Kirrane INSIGHT Viva Presentation
Sabrina Kirrane INSIGHT Viva Presentation Sabrina Kirrane
 
Industry Report: The State of Customer Data Integration in 2013
Industry Report: The State of Customer Data Integration in 2013Industry Report: The State of Customer Data Integration in 2013
Industry Report: The State of Customer Data Integration in 2013Scribe Software Corp.
 
Data Journalism - Start working with Data
Data Journalism  - Start working with DataData Journalism  - Start working with Data
Data Journalism - Start working with DataBahareh Heravi
 
Protein interaction networks from yeast to human
Protein interaction networks from yeast to humanProtein interaction networks from yeast to human
Protein interaction networks from yeast to humanLars Juhl Jensen
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Lars Juhl Jensen
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networksLars Juhl Jensen
 
Introduction to Network Mapping
Introduction to Network MappingIntroduction to Network Mapping
Introduction to Network MappingDmitry Grapov
 
Data Journalism - Finding Data
Data Journalism - Finding DataData Journalism - Finding Data
Data Journalism - Finding DataBahareh Heravi
 
Data Journalism - Introduction
Data Journalism - IntroductionData Journalism - Introduction
Data Journalism - IntroductionBahareh Heravi
 
Genetics in the NHS: Looking towards the Next Generation
Genetics in the NHS: Looking towards the Next GenerationGenetics in the NHS: Looking towards the Next Generation
Genetics in the NHS: Looking towards the Next GenerationChris Willmott
 
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...DATAVERSITY
 

Viewers also liked (19)

Towards Biomedical Data Integration for Analyzing the Evolution of Cognition
Towards Biomedical Data Integration for Analyzing the Evolution of CognitionTowards Biomedical Data Integration for Analyzing the Evolution of Cognition
Towards Biomedical Data Integration for Analyzing the Evolution of Cognition
 
Identifying, annotating, and filtering arguments and opinions on the social w...
Identifying, annotating, and filtering arguments and opinions on the social w...Identifying, annotating, and filtering arguments and opinions on the social w...
Identifying, annotating, and filtering arguments and opinions on the social w...
 
PhD viva - 11th November 2015
PhD viva - 11th November 2015PhD viva - 11th November 2015
PhD viva - 11th November 2015
 
Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...Combining sequence motifs and protein interactions to unravel complex phospho...
Combining sequence motifs and protein interactions to unravel complex phospho...
 
Data Café — A Platform For Creating Biomedical Data Lakes
Data Café — A Platform For Creating Biomedical Data LakesData Café — A Platform For Creating Biomedical Data Lakes
Data Café — A Platform For Creating Biomedical Data Lakes
 
Aidan's PhD Viva
Aidan's PhD VivaAidan's PhD Viva
Aidan's PhD Viva
 
2016 07 12_purdue_bigdatainomics_seandavis
2016 07 12_purdue_bigdatainomics_seandavis2016 07 12_purdue_bigdatainomics_seandavis
2016 07 12_purdue_bigdatainomics_seandavis
 
Sabrina Kirrane INSIGHT Viva Presentation
Sabrina Kirrane INSIGHT Viva Presentation Sabrina Kirrane INSIGHT Viva Presentation
Sabrina Kirrane INSIGHT Viva Presentation
 
Industry Report: The State of Customer Data Integration in 2013
Industry Report: The State of Customer Data Integration in 2013Industry Report: The State of Customer Data Integration in 2013
Industry Report: The State of Customer Data Integration in 2013
 
Data Journalism - Start working with Data
Data Journalism  - Start working with DataData Journalism  - Start working with Data
Data Journalism - Start working with Data
 
Protein interaction networks from yeast to human
Protein interaction networks from yeast to humanProtein interaction networks from yeast to human
Protein interaction networks from yeast to human
 
Semantic annotation of biomedical data
Semantic annotation of biomedical dataSemantic annotation of biomedical data
Semantic annotation of biomedical data
 
Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...Systematic discovery of phosphorylation networks - Combining linear motifs an...
Systematic discovery of phosphorylation networks - Combining linear motifs an...
 
Protein interaction networks
Protein interaction networksProtein interaction networks
Protein interaction networks
 
Introduction to Network Mapping
Introduction to Network MappingIntroduction to Network Mapping
Introduction to Network Mapping
 
Data Journalism - Finding Data
Data Journalism - Finding DataData Journalism - Finding Data
Data Journalism - Finding Data
 
Data Journalism - Introduction
Data Journalism - IntroductionData Journalism - Introduction
Data Journalism - Introduction
 
Genetics in the NHS: Looking towards the Next Generation
Genetics in the NHS: Looking towards the Next GenerationGenetics in the NHS: Looking towards the Next Generation
Genetics in the NHS: Looking towards the Next Generation
 
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
 

Similar to Using Structural Information To Predict Protein Kinase Specificity

Predikin and PredikinDB: tools to predict protein kinase peptide specificity
Predikin and PredikinDB:  tools to predict protein kinase peptide specificityPredikin and PredikinDB:  tools to predict protein kinase peptide specificity
Predikin and PredikinDB: tools to predict protein kinase peptide specificityNeil Saunders
 
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...AvactaLifeSciences
 
Thesis def
Thesis defThesis def
Thesis defJay Vyas
 
SOT short course on computational toxicology
SOT short course on computational toxicology SOT short course on computational toxicology
SOT short course on computational toxicology Sean Ekins
 
Hupo2017 wessels mb2021 Glycopeptide profiling
Hupo2017 wessels mb2021 Glycopeptide profilingHupo2017 wessels mb2021 Glycopeptide profiling
Hupo2017 wessels mb2021 Glycopeptide profilingHans Wessels
 
Cncp 2010
Cncp 2010Cncp 2010
Cncp 2010ygc
 
Free software and bioinformatics
Free software and bioinformaticsFree software and bioinformatics
Free software and bioinformaticsAlberto Labarga
 
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...bioejjournal
 
Qsar studies on gallic acid derivatives and molecular docking studies of bace...
Qsar studies on gallic acid derivatives and molecular docking studies of bace...Qsar studies on gallic acid derivatives and molecular docking studies of bace...
Qsar studies on gallic acid derivatives and molecular docking studies of bace...bioejjournal
 
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...bioejjournal
 
Cytoscape: Integrating biological networks
Cytoscape: Integrating biological networksCytoscape: Integrating biological networks
Cytoscape: Integrating biological networksBITS
 
BIOL335: RNA bioinformatics
BIOL335: RNA bioinformaticsBIOL335: RNA bioinformatics
BIOL335: RNA bioinformaticsPaul Gardner
 
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013Prof. Wim Van Criekinge
 
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining tool
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining toolII-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining tool
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining toolDr. Haxel Consult
 
A practical approach to assay design for qPCR
A practical approach to assay design for qPCRA practical approach to assay design for qPCR
A practical approach to assay design for qPCRAmerican Biotechnologist
 
modelling assignment
modelling assignmentmodelling assignment
modelling assignmentShwetA Kumari
 

Similar to Using Structural Information To Predict Protein Kinase Specificity (20)

Predikin and PredikinDB: tools to predict protein kinase peptide specificity
Predikin and PredikinDB:  tools to predict protein kinase peptide specificityPredikin and PredikinDB:  tools to predict protein kinase peptide specificity
Predikin and PredikinDB: tools to predict protein kinase peptide specificity
 
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...
Avacta Life Sciences Affimers Presentation Global Protein Engineering Summit ...
 
Thesis def
Thesis defThesis def
Thesis def
 
SOT short course on computational toxicology
SOT short course on computational toxicology SOT short course on computational toxicology
SOT short course on computational toxicology
 
Hupo2017 wessels mb2021 Glycopeptide profiling
Hupo2017 wessels mb2021 Glycopeptide profilingHupo2017 wessels mb2021 Glycopeptide profiling
Hupo2017 wessels mb2021 Glycopeptide profiling
 
Cncp 2010
Cncp 2010Cncp 2010
Cncp 2010
 
RENIN1.ppt
RENIN1.pptRENIN1.ppt
RENIN1.ppt
 
Free software and bioinformatics
Free software and bioinformaticsFree software and bioinformatics
Free software and bioinformatics
 
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
 
Qsar studies on gallic acid derivatives and molecular docking studies of bace...
Qsar studies on gallic acid derivatives and molecular docking studies of bace...Qsar studies on gallic acid derivatives and molecular docking studies of bace...
Qsar studies on gallic acid derivatives and molecular docking studies of bace...
 
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
Qsar Studies on Gallic Acid Derivatives and Molecular Docking Studies of Bace...
 
Dr. Subha Madhavan: G-DOC – Enabling Systems Medicine through Innovations in ...
Dr. Subha Madhavan: G-DOC – Enabling Systems Medicine through Innovations in ...Dr. Subha Madhavan: G-DOC – Enabling Systems Medicine through Innovations in ...
Dr. Subha Madhavan: G-DOC – Enabling Systems Medicine through Innovations in ...
 
Cytoscape: Integrating biological networks
Cytoscape: Integrating biological networksCytoscape: Integrating biological networks
Cytoscape: Integrating biological networks
 
BIOL335: RNA bioinformatics
BIOL335: RNA bioinformaticsBIOL335: RNA bioinformatics
BIOL335: RNA bioinformatics
 
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013
Bioinformatica t3-scoring matrices-wim_vancriekinge_v2013
 
Robert T. Dunn, II, Ph.D., DABT, SLAS ADMET Special Interest Group Meeting p...
 Robert T. Dunn, II, Ph.D., DABT, SLAS ADMET Special Interest Group Meeting p... Robert T. Dunn, II, Ph.D., DABT, SLAS ADMET Special Interest Group Meeting p...
Robert T. Dunn, II, Ph.D., DABT, SLAS ADMET Special Interest Group Meeting p...
 
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining tool
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining toolII-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining tool
II-PIC 2017: Drug Discovery of Novel Molecules using Chemical Data Mining tool
 
A practical approach to assay design for qPCR
A practical approach to assay design for qPCRA practical approach to assay design for qPCR
A practical approach to assay design for qPCR
 
modelling assignment
modelling assignmentmodelling assignment
modelling assignment
 
Discovering drugs (I. Belda)
Discovering drugs (I. Belda)Discovering drugs (I. Belda)
Discovering drugs (I. Belda)
 

More from Neil Saunders

Online bioinformatics forums: why do we keep asking the same questions?
Online bioinformatics forums: why do we keep asking the same questions?Online bioinformatics forums: why do we keep asking the same questions?
Online bioinformatics forums: why do we keep asking the same questions?Neil Saunders
 
Should I be dead? a very personal genomics
Should I be dead? a very personal genomicsShould I be dead? a very personal genomics
Should I be dead? a very personal genomicsNeil Saunders
 
Learning from complete strangers: social networking for bioinformaticians
Learning from complete strangers: social networking for bioinformaticiansLearning from complete strangers: social networking for bioinformaticians
Learning from complete strangers: social networking for bioinformaticiansNeil Saunders
 
SQL, noSQL or no database at all? Are databases still a core skill?
SQL, noSQL or no database at all? Are databases still a core skill?SQL, noSQL or no database at all? Are databases still a core skill?
SQL, noSQL or no database at all? Are databases still a core skill?Neil Saunders
 
Data Integration: What I Haven't Yet Achieved
Data Integration: What I Haven't Yet AchievedData Integration: What I Haven't Yet Achieved
Data Integration: What I Haven't Yet AchievedNeil Saunders
 
Building A Web Application To Monitor PubMed Retraction Notices
Building A Web Application To Monitor PubMed Retraction NoticesBuilding A Web Application To Monitor PubMed Retraction Notices
Building A Web Application To Monitor PubMed Retraction NoticesNeil Saunders
 
Version Control in Bioinformatics: Our Experience Using Git
Version Control in Bioinformatics: Our Experience Using GitVersion Control in Bioinformatics: Our Experience Using Git
Version Control in Bioinformatics: Our Experience Using GitNeil Saunders
 
What can science networking online do for you
What can science networking online do for youWhat can science networking online do for you
What can science networking online do for youNeil Saunders
 
The Viking labelled release experiment: life on Mars?
The Viking labelled release experiment:  life on Mars?The Viking labelled release experiment:  life on Mars?
The Viking labelled release experiment: life on Mars?Neil Saunders
 
Protein function and bioinformatics
Protein function and bioinformaticsProtein function and bioinformatics
Protein function and bioinformaticsNeil Saunders
 
Genomics of cold-adapted microorganisms
Genomics of cold-adapted microorganismsGenomics of cold-adapted microorganisms
Genomics of cold-adapted microorganismsNeil Saunders
 

More from Neil Saunders (11)

Online bioinformatics forums: why do we keep asking the same questions?
Online bioinformatics forums: why do we keep asking the same questions?Online bioinformatics forums: why do we keep asking the same questions?
Online bioinformatics forums: why do we keep asking the same questions?
 
Should I be dead? a very personal genomics
Should I be dead? a very personal genomicsShould I be dead? a very personal genomics
Should I be dead? a very personal genomics
 
Learning from complete strangers: social networking for bioinformaticians
Learning from complete strangers: social networking for bioinformaticiansLearning from complete strangers: social networking for bioinformaticians
Learning from complete strangers: social networking for bioinformaticians
 
SQL, noSQL or no database at all? Are databases still a core skill?
SQL, noSQL or no database at all? Are databases still a core skill?SQL, noSQL or no database at all? Are databases still a core skill?
SQL, noSQL or no database at all? Are databases still a core skill?
 
Data Integration: What I Haven't Yet Achieved
Data Integration: What I Haven't Yet AchievedData Integration: What I Haven't Yet Achieved
Data Integration: What I Haven't Yet Achieved
 
Building A Web Application To Monitor PubMed Retraction Notices
Building A Web Application To Monitor PubMed Retraction NoticesBuilding A Web Application To Monitor PubMed Retraction Notices
Building A Web Application To Monitor PubMed Retraction Notices
 
Version Control in Bioinformatics: Our Experience Using Git
Version Control in Bioinformatics: Our Experience Using GitVersion Control in Bioinformatics: Our Experience Using Git
Version Control in Bioinformatics: Our Experience Using Git
 
What can science networking online do for you
What can science networking online do for youWhat can science networking online do for you
What can science networking online do for you
 
The Viking labelled release experiment: life on Mars?
The Viking labelled release experiment:  life on Mars?The Viking labelled release experiment:  life on Mars?
The Viking labelled release experiment: life on Mars?
 
Protein function and bioinformatics
Protein function and bioinformaticsProtein function and bioinformatics
Protein function and bioinformatics
 
Genomics of cold-adapted microorganisms
Genomics of cold-adapted microorganismsGenomics of cold-adapted microorganisms
Genomics of cold-adapted microorganisms
 

Recently uploaded

Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 

Recently uploaded (20)

Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 

Using Structural Information To Predict Protein Kinase Specificity

  • 1. Structure, interaction and peptide specificity Using Structural Information To Predict Protein-Protein Interaction And Enzyme Specificity Neil Saunders , Thomas Huber, Bostjan Kobe School of Molecular and Microbial Sciences The University of Queensland http://predikin.biosci.uq.edu.au
  • 2. Structure, interaction and peptide specificity Peptide specificity of protein kinases CK-2 PKA MAPK kinase ATP protein OH + protein O-P i kinase ADP +
  • 3. Structure, interaction and peptide specificity Structural basis for peptide specificity PKA surface + heptapeptide RRA S IHD Schematic of heptapeptide + PKA SDRs
  • 4. Structure, interaction and peptide specificity 1. Identify key sequence residues reference *->Yellkkl GkG aFGkVylardkktgrlv AiK vik..........eril Y+++k+lG+G+FGkV+la+++ tg++vA+K+i+++ +++ + ri+ query 55 YQIVKTL GE GS F GKVKLAYHTTTGQKV ALK IINkkvl aks dmqGRIE 101 -1 +2 X X X [ST] X X X Prediction of peptide specificity from sequence kinase substrate
  • 5. Structure, interaction and peptide specificity 2. Query a database for similar protein kinases Q FS T VKG E QF S TVK R SV S EAA R SG S SPN R HD S GLD R RM S DEF A RG S FDA Query kinase kinases substrates sites
  • 6.
  • 7. Structure, interaction and peptide specificity 4. Evaluate scores serine/threonine CMGC Predikin (SDR) 0.86 (0.04) 0.93 (0.02) GPS 0.83 0.94 KinasePhos 0.78 0.95 NetPhosK 0.90 0.57 PPSP 0.92 0.95 Scansite 0.95 0.94 ROC curve, CMGC kinases, Predikin SDR AROC values, Predikin v. competition
  • 8. Structure, interaction and peptide specificity 5. Publish! Nucleic Acid Res. 36: W286-W290 (2008) BMC Bioinformatics 9: 245 (2008)
  • 9.
  • 10. Structure, interaction and peptide specificity 1. A more automated workflow Less visual inspection More computed analyses Queries Predictions Protein-peptide structures Define key contacts Database Models
  • 11.
  • 12. Structure, interaction and peptide specificity 3. Data curation and visualisation Model organisms kinases substrates sites queries visualisation prediction annotation
  • 13.