Literature DB >> 15763557

Pathway information for systems biology.

Michael P Cary1, Gary D Bader, Chris Sander.   

Abstract

Pathway information is vital for successful quantitative modeling of biological systems. The almost 170 online pathway databases vary widely in coverage and representation of biological processes, making their use extremely difficult. Future pathway information systems for querying, visualization and analysis must support standard exchange formats to successfully integrate data on a large scale. Such integrated systems will greatly facilitate the constructive cycle of computational model building and experimental verification that lies at the heart of systems biology.

Mesh：

Year:  2005        PMID： 15763557     DOI： 10.1016/j.febslet.2005.02.005

Source DB:  PubMed          Journal:  FEBS Lett        ISSN： 0014-5793            Impact factor:   4.124


  40 in total

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Review 2.  Network integration and graph analysis in mammalian molecular systems biology.

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3.  A top-down approach to mechanistic biological modeling: application to the single-chain antibody folding pathway.

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4.  On an infrastructure to support sharing and aggregating pre- and post-publication systems biology research data.

Authors:  Mark Slaymaker; James Osborne; Andrew Simpson; David Gavaghan
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5.  Pathway-based personalized analysis of cancer.

Authors:  Yotam Drier; Michal Sheffer; Eytan Domany
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-01       Impact factor: 11.205

Review 6.  The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.

Authors:  Kivilcim Ozturk; Michelle Dow; Daniel E Carlin; Rafael Bejar; Hannah Carter
Journal:  J Mol Biol       Date:  2018-06-15       Impact factor: 5.469

7.  3D-interologs: an evolution database of physical protein- protein interactions across multiple genomes.

Authors:  Yu-Shu Lo; Yung-Chiang Chen; Jinn-Moon Yang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

8.  Enrichment map: a network-based method for gene-set enrichment visualization and interpretation.

Authors:  Daniele Merico; Ruth Isserlin; Oliver Stueker; Andrew Emili; Gary D Bader
Journal:  PLoS One       Date:  2010-11-15       Impact factor: 3.240

9.  Targeting the human cancer pathway protein interaction network by structural genomics.

Authors:  Yuanpeng Janet Huang; Dehua Hang; Long Jason Lu; Liang Tong; Mark B Gerstein; Gaetano T Montelione
Journal:  Mol Cell Proteomics       Date:  2008-05-18       Impact factor: 5.911

10.  NetPath: a public resource of curated signal transduction pathways.

Authors:  Kumaran Kandasamy; S Sujatha Mohan; Rajesh Raju; Shivakumar Keerthikumar; Ghantasala S Sameer Kumar; Abhilash K Venugopal; Deepthi Telikicherla; J Daniel Navarro; Suresh Mathivanan; Christian Pecquet; Sashi Kanth Gollapudi; Sudhir Gopal Tattikota; Shyam Mohan; Hariprasad Padhukasahasram; Yashwanth Subbannayya; Renu Goel; Harrys K C Jacob; Jun Zhong; Raja Sekhar; Vishalakshi Nanjappa; Lavanya Balakrishnan; Roopashree Subbaiah; Y L Ramachandra; B Abdul Rahiman; T S Keshava Prasad; Jian-Xin Lin; Jon C D Houtman; Stephen Desiderio; Jean-Christophe Renauld; Stefan N Constantinescu; Osamu Ohara; Toshio Hirano; Masato Kubo; Sujay Singh; Purvesh Khatri; Sorin Draghici; Gary D Bader; Chris Sander; Warren J Leonard; Akhilesh Pandey
Journal:  Genome Biol       Date:  2010-01-12       Impact factor: 13.583
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