Protein Chemistry & Proteomics | Bioinformatics | Biomacromolecule-Ligand Interactions | Drug Discovery & Design
Can chemical-protein interaction profiles explain side and therapeutic effects?
Lun Yang*
*Corresponding author: Lun Yang
Computational Biology, GlaxoSmithKline, Philadelphia, USA
F1000Posters 2012, 3: 973 (slide presentation) [English]
Slide Presentation [2.05 MB] | Resulting articles
Presented at
International Conference on Intelligent Systems for Molecular Biology (ISMB) 2012,
14 - 16 Jul 2012, P000
Chemical-protein interactome is a computational methodology with a focus on characterizing differential drug efficacy and side effects through the combined analysis of genetic polymorphisms and their impact on chemical-protein interactions and gene expression perturbations. The methodology opens up opportunities for developing patient-specific medication in terms of decreasing adverse drug reactions and revealing new uses for old drugs.
Docking-based chemical-protein interaction profile can be used to explain side effects and therapeutic effects.
Copyrights: Figure 1 was reproduced with kind permission from: Luo H, Chen J et al (2011) Nucleic Acids Res. 39(Web Server issue); W492-8.
Copyrights: Figures 1-5 were reproduced with kind permission from: Yang L, Wang K et al (2011) PLoS Comput Biol. Mar 7(3); e1002016.
The presenter is a paid employee of GlaxoSmithKline(GSK). However, the work presented was done before his tenure at GSK.
Please note that most posters on this site present work that is preliminary in nature and has not been peer reviewed.
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