期刊论文详细信息
BMC Research Notes
PyMine: a PyMOL plugin to integrate and visualize data for drug discovery
Zhijun Li1  Rajan Chaudhari1 
[1] Department of Chemistry & Biochemistry, University of the Sciences in Philadelphia, Philadelphia 19104, PA, USA
关键词: Drug discovery;    Data visualization;    Data integration;    PyMOL;   
Others  :  1229548
DOI  :  10.1186/s13104-015-1483-3
 received in 2015-04-09, accepted in 2015-09-21,  发布年份 2015
PDF
【 摘 要 】

Background

Tremendous amount of chemical and biological data are being generated by various high-throughput biotechnologies that could facilitate modern drug discovery. However, lack of integration makes it very challenging for individual scientists to access and understand all the data related to a specific protein of interest.

Findings

To overcome this challenge, we developed PyMine, a PyMOL plugin that retrieves chemical, structural, pathway and other related biological data of a receptor and small molecules from a variety of high-quality databases and presents them in a graphic and uniformed way.

Conclusions

Developed as an interactive and user-friendly tool, PyMine can be used as a central data-hub for users to access and visualize multiple types of data and to generate new ideas intuitively for structure-based molecule design.

【 授权许可】

   
2015 Chaudhari and Li.

【 预 览 】
附件列表
Files Size Format View
20151030024018760.pdf 1324KB PDF download
Fig.2. 52KB Image download
Fig.1. 83KB Image download
【 图 表 】

Fig.1.

Fig.2.

【 参考文献 】
  • [1]Galperin MY, et al.: The 2015 nucleic acids research database issue and molecular biology database collection. Nucleic Acids Res 2015, 43(Database issue):D1-D5.
  • [2]Joachimiak A: High-throughput crystallography for structural genomics. Curr Opin Struct Biol 2009, 19:573-584.
  • [3]Masseroli M, et al.: Integrated Bio-Search: challenges and trends for the integration, search and comprehensive processing of biological information. BMC Bioinform 2014, 15(Suppl 1):S2. BioMed Central Full Text
  • [4]Silber BM: Driving drug discovery: the fundamental role of academic labs. Sci Transl Med 2010, 2(30):30cm16.
  • [5]Shannon P, et al.: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 2003, 13(11):2498-2504.
  • [6]Pettersen EF, et al.: UCSF Chimera—a visualization system for exploratory research and analysis. J Comput Chem 2004, 25(13):1605-1612.
  • [7]O’Donoghue SI, et al.: Aquaria: simplifying discovery and insight from protein structures. Nat Methods 2015, 12(2):98-99.
  • [8]Fournier D, Andrade-Navarro MA: PDBpaint, a visualization webservice to tag protein structures with sequence annotations. Bioinformatics 2011, 27(18):2605-2606.
  • [9]Liu Z, et al.: PDB-wide collection of binding data: current status of the PDBbind database. Bioinformatics 2015, 31(3):405-412.
  • [10]DeLano WL. The PyMOL molecular graphics system. Schrödinger LLC wwwpymolorg, version 1. 2002.. http://www.pymol.org webcite
  • [11]Bramucci E, et al.: PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL. BMC Bioinform 2012, 13:S2. BioMed Central Full Text
  • [12]Lill MA, Danielson ML: Computer-aided drug design platform using PyMOL. J Comput Aided Mol Des 2011, 25:13-19.
  • [13]The UniProt Consortium: UniProt: a hub for protein information Nucleic Acids Res 2015, 43(Database issue):D204-D212.
  • [14]Berman HM, et al.: The Protein Data Bank. Nucleic Acids Res 2000, 28:235-242.
  • [15]Gaulton A, et al.: ChEMBL: a large-scale bioactivity database for drug discovery. Nucleic Acids Res 2012, 40(Database issue):D1100-D1107.
  • [16]Kanehisa M, et al.: ata, information, knowledge and principle: back to metabolism in KEGG. Nucleic Acids Res 2014, 42:D199-D205.
  • [17]Yip YL, et al.: Annotating single amino acid polymorphisms in the UniProt/Swiss-Prot knowledgebase. Hum Mutat 2008, 29:361-366.
  • [18]Shoemaker BA, et al.: IBIS (Inferred Biomolecular Interaction Server) reports, predicts and integrates multiple types of conserved interactions for proteins. Nucleic Acids Res 2012, 40(Database issue):S834-S840.
  文献评价指标  
  下载次数:29次 浏览次数:27次