Aiding Computer Aided Drug Design Mohd Shahir Shamsir (PhD) Bioinformatics Research Group (BIRG) Department of Biological Sciences, Faculty of Bioscience & Bioengineering Universiti Teknologi Malaysia

Summary Aiding Computer Aided Drug Design Greasing the gears of CADD Gaming gears Video

Aiding Computer Aided Drug Design

Greasing the gears of CADD

Gaming gears

Video

CADD is a specialised discipline that uses computational methodsto simulate drug-receptor interactions – Richard M casey Computer aided drug design (CADD) is a specialized discipline that uses computational methods to simulate drug-receptor interactions Richard M. Casey

CADD methods are heavily dependent on bioinformatics tools, applications and databases. CADD methods are heavily dependent on bioinformatics tools, applications and databases.

CADD can metaphorically be an engine with many bioinformatics “gears” contributing towards the functioning of this “Engine”. Among these gears are homology modeling, similarity searchers, physicochemical modeling, virtual High Throughput screening, drug lead optimization, drug bioavailability, drug bioactivity, sequence analysis. All of these is expected to translate into reduced time-to-market, cost savings and new insight into drug research. Virtual High-Throughput Screening (vHTS) Sequence Analysis Homology Modeling Similarity Searches Drug Lead Optimization Physicochemical Modeling Drug Bioavailability and Bioactivity Cost Savings Time-to-Market Insight Computer Aided Drug Design

Docking gears for example have varieties of tools that have evolved

We can aid/assist CADD by ‘greasing’ the ‘gears’ . Greasing CADD

Interactions are key in ‘greasing’ the research gears. Science happens not just because of people doing experiments but because they are discussing those experiments Christopher Surridge, Managing Editor PLoS ONE Science happens not just because of people doing experiments but because they are discussing those experiments

Greasing using Web 2.0 would enable easier collaboration between researchers and research groups. Greasing using Web 2.0

Multiple tools mostly user generated that has user generated content in mind

Propels by a state of mind where users i.e. YOU generate content to be shared with other users

Community and social collaboration

Many examples of tools of web 2.0

Tools created by the African Continent – unrestricted creativity

Landscape breakdown of how these tool are connected to generate WEB 2.0

Easier to Collaborate Collaborative tools examples Google Docs Microsoft Office Live Zoho Thinkfree Zimbra springnote

Collaborative tools examples

Google Docs

Microsoft Office Live

Zoho

Thinkfree

Zimbra

springnote

Yugma – a web conferencing tool - http://www.yugma.com/

Freemind – a web based collaborative mind mapping tool - http://freemind.sourceforge.net/wiki/index.php/Main_Page

Slideshare – to share slides for reseach presentations - http://www.slideshare.net/

Research computing is currently very fragmented Existing approaches do not scale up to the amount of data now common Many chemical informatics tools are obscure, difficult to use and access Scientists’ questions are not that complex, but finding the answers is currently very time consuming and/or complex (for a human) “has anybody patented this chemical structure I just made?” “can I get hold of a compound that might bind to the active site of this protein I just resolved?” “which compounds in this series are least likely to exhibit toxic effects?” Answers are often “stale” after a short period of time – questions need to be re-answered as new information is generated Almost all available systems are passive, and follow the (web) browsing model There tends to be one interface for every data source (or encompassing just a few) Scalability passive Scalability issue Similarity Searches Research fragmentation Complex questions New pespective from new information usability Single interface accessibility Integrating CADD gears

Automated Bioinformatics Workflows Tools Examples such as Taverna - http://taverna.sourceforge.net/ Swami - http://www.ngbw.org/ Systems Biology Workbench - http://www.sys-bio.org/index.htm SCSC Workbench - http://workbench.sdsc.edu/ Integrating CADD gears

Examples such as

Taverna - http://taverna.sourceforge.net/

Swami - http://www.ngbw.org/

Systems Biology Workbench - http://www.sys-bio.org/index.htm

SCSC Workbench - http://workbench.sdsc.edu/

Amazon web services for easier biological data retrieval Easier data retrieval

Annotated Human Genome Data provided by ENSEMBL (172GB). GenBank provided by the National Center for Biotechnology Information ( 250GB) UniGene provided by the National Center for Biotechnology Information (10 GB) Easier data retrieval

Annotated Human Genome Data provided by ENSEMBL (172GB).

GenBank provided by the National Center for Biotechnology Information ( 250GB)

UniGene provided by the National Center for Biotechnology Information (10 GB)

Digital Collaborations

Initiated by O-Reilly meeting in 2004 called sci-foo

Replicated in Second life (SL)

Virtual meeting

Virtual meeting

Examples of material found on SL

Gaming gears for CADD Gaming Gears for CADD

PS3?

PS3!!

First PS3 cluster for research by Dr Frank Mueller of North Carolina University

Warhawk Server Cluster Costs less Reduced heat Minimum space

CUDA support by n-VIDIA

Statistics by Folding@Home

Up and running eHITS application using PS3 by SimBioSys Inc

Video about Web 2.0 VIDEO

CADD still need hard working people. CADD

credits Images from

Questions