THE CHINESE UNIVERSITY OF HONG KONG香港中文大舉 An Introduction to Bioinformatics and its application in Protein-DNA/Protein Interactions Research and Drug Discovery CMSC5719 Dr.Leung,Kwong Sak Professor of Computer Science and Engineering Mar26,2012 1
1 An Introduction to Bioinformatics and its application in Protein-DNA/Protein Interactions Research and Drug Discovery CMSC5719 Dr. Leung, Kwong Sak Professor of Computer Science and Engineering Mar 26, 2012
Outline ol.Introduction to Bioinformatics oII.Protein-DNA Interactions oIll.Drug Discovery IV.Discussion and Conclusion 2
2 Outline I. Introduction to Bioinformatics II. Protein-DNA Interactions III. Drug Discovery IV. Discussion and Conclusion
I.Introduction to Bioinformatics os Bioinformatics o Research Areas o Biological Basics 3
3 I. Introduction to Bioinformatics Bioinformatics Research Areas Biological Basics
Introduction os Bioinformatics More and more crucial in life sciences and biomedical applications for analysis and new discoveries Huge noisy data Curated and well-organized Costly annotations Bioinformatics Effective and efficient analysis Individual specific Bridging Generalized knowledge Biology Informatics (e.g.Computer Science) 4
4 Introduction Bioinformatics More and more crucial in life sciences and biomedical applications for analysis and new discoveries Huge noisy data Costly annotations Individual & specific Biology Informatics (e.g. Computer Science) Curated and well-organized Effective and efficient analysis Generalized knowledge Bioinformatics Bridging
Bioinformatics Research Areas oMany (crossing)areas: R(Genome-scale)Sequence Analysis Sequence alignments,motif discovery,genome-wide association (to study diseases such as cancers) CR Computational Evolutionary Biology oR Phylogenetics,evolution modeling R Analysis of Gene Regulation R Gene expression analysis,alternative splicing,protein-DNA interactions,gene regulatory networks RStructural Biology oR Drug discovery,protein folding,protein-protein interactions R Synthetic Biology oR High throughput Imaging Analysis 3.. 5
5 Bioinformatics Research Areas Many (crossing) areas: (Genome-scale) Sequence Analysis Sequence alignments, motif discovery, genome-wide association (to study diseases such as cancers) Computational Evolutionary Biology Phylogenetics, evolution modeling Analysis of Gene Regulation Gene expression analysis, alternative splicing, protein-DNA interactions, gene regulatory networks Structural Biology Drug discovery, protein folding, protein-protein interactions Synthetic Biology High throughput Imaging Analysis …