SMPDB 2.0: big improvements to the Small Molecule Pathway Database.
SMPDB 2.0: big improvements to the Small Molecule Pathway Database.
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DOI:
10.1093/nar/gkt1067
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发表时间:
2014-01
影响因子:
14.9
通讯作者:
Wishart DS
中科院分区:
文献类型:
--
作者:
Jewison T;Su Y;Disfany FM;Liang Y;Knox C;Maciejewski A;Poelzer J;Huynh J;Zhou Y;Arndt D;Djoumbou Y;Liu Y;Deng L;Guo AC;Han B;Pon A;Wilson M;Rafatnia S;Liu P;Wishart DS
The Small Molecule Pathway Database (SMPDB, http://www.smpdb.ca) is a comprehensive, colorful, fully searchable and highly interactive database for visualizing human metabolic, drug action, drug metabolism, physiological activity and metabolic disease pathways. SMPDB contains >600 pathways with nearly 75% of its pathways not found in any other database. All SMPDB pathway diagrams are extensively hyperlinked and include detailed information on the relevant tissues, organs, organelles, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Since its last release in 2010, SMPDB has undergone substantial upgrades and significant expansion. In particular, the total number of pathways in SMPDB has grown by >70%. Additionally, every previously entered pathway has been completely redrawn, standardized, corrected, updated and enhanced with additional molecular or cellular information. Many SMPDB pathways now include transporter proteins as well as much more physiological, tissue, target organ and reaction compartment data. Thanks to the development of a standardized pathway drawing tool (called PathWhiz) all SMPDB pathways are now much more easily drawn and far more rapidly updated. PathWhiz has also allowed all SMPDB pathways to be saved in a BioPAX format. Significant improvements to SMPDB’s visualization interface now make the browsing, selection, recoloring and zooming of pathways far easier and far more intuitive. Because of its utility and breadth of coverage, SMPDB is now integrated into several other databases including HMDB and DrugBank.
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DOI:
10.1007/978-1-62703-435-7_20
发表时间:
2013
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
作者:
Thorn, Caroline F;Klein, Teri E;Altman, Russ B
通讯作者:
Altman, Russ B
影响因子:
14.9
作者:
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者:
Tanabe M
影响因子:
14.9
作者:
Frolkis A;Knox C;Lim E;Jewison T;Law V;Hau DD;Liu P;Gautam B;Ly S;Guo AC;Xia J;Liang Y;Shrivastava S;Wishart DS
通讯作者:
Wishart DS
影响因子:
14.9
作者:
Wishart DS;Jewison T;Guo AC;Wilson M;Knox C;Liu Y;Djoumbou Y;Mandal R;Aziat F;Dong E;Bouatra S;Sinelnikov I;Arndt D;Xia J;Liu P;Yallou F;Bjorndahl T;Perez-Pineiro R;Eisner R;Allen F;Neveu V;Greiner R;Scalbert A
通讯作者:
Scalbert A
影响因子:
14.9
作者:
Keseler IM;Mackie A;Peralta-Gil M;Santos-Zavaleta A;Gama-Castro S;Bonavides-Martínez C;Fulcher C;Huerta AM;Kothari A;Krummenacker M;Latendresse M;Muñiz-Rascado L;Ong Q;Paley S;Schröder I;Shearer AG;Subhraveti P;Travers M;Weerasinghe D;Weiss V;Collado-Vides J;Gunsalus RP;Paulsen I;Karp PD
通讯作者:
Karp PD