期刊论文详细信息
BMC Bioinformatics
Sanjeevini: a freely accessible web-server for target directed lead molecule discovery
Proceedings
Goutam Mukherjee1  Tanya Singh1  B Jayaram2  Abhinav Mathur3  Shashank Shekhar3  Vandana Shekhar3 
[1] Department of Chemistry, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;Supercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;Department of Chemistry, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;Supercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;Kusuma School of Biological Sciences, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;Supercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology, 110016, Hauz Khas, New Delhi, India;
关键词: Free Energy;    Ligand Molecule;    Binding Free Energy;    Candidate Molecule;    Docking Module;   
DOI  :  10.1186/1471-2105-13-S17-S7
来源: Springer
PDF
【 摘 要 】

BackgroundComputational methods utilizing the structural and functional information help to understand specific molecular recognition events between the target biomolecule and candidate hits and make it possible to design improved lead molecules for the target.ResultsSanjeevini represents a massive on-going scientific endeavor to provide to the user, a freely accessible state of the art software suite for protein and DNA targeted lead molecule discovery. It builds in several features, including automated detection of active sites, scanning against a million compound library for identifying hit molecules, all atom based docking and scoring and various other utilities to design molecules with desired affinity and specificity against biomolecular targets. Each of the modules is thoroughly validated on a large dataset of protein/DNA drug targets.ConclusionsThe article presents Sanjeevini, a freely accessible user friendly web-server, to aid in drug discovery. It is implemented on a tera flop cluster and made accessible via a web-interface at http://www.scfbio-iitd.res.in/sanjeevini/sanjeevini.jsp. A brief description of various modules, their scientific basis, validation, and how to use the server to develop in silico suggestions of lead molecules is provided.

【 授权许可】

CC BY   
© Jayaram et al.; licensee BioMed Central Ltd. 2012

【 预 览 】
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