Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions.
Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions.
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DOI:
10.1016/j.chembiol.2017.11.009
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发表时间:
2018-02-15
影响因子:
8.6
通讯作者:
Aittokallio T
中科院分区:
文献类型:
--
作者:
Tang J;Tanoli ZU;Ravikumar B;Alam Z;Rebane A;Vähä-Koskela M;Peddinti G;van Adrichem AJ;Wakkinen J;Jaiswal A;Karjalainen E;Gautam P;He L;Parri E;Khan S;Gupta A;Ali M;Yetukuri L;Gustavsson AL;Seashore-Ludlow B;Hersey A;Leach AR;Overington JP;Repasky G;Wennerberg K;Aittokallio T
Knowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity data resources are often incomparable due to non-standardized and heterogeneous assay types and variability in endpoint measurements. To extract higher value from the existing and future compound target-profiling data, we implemented an open-data web platform, named Drug Target Commons (DTC), which features tools for crowd-sourced compound-target bioactivity data annotation, standardization, curation, and intra-resource integration. We demonstrate the unique value of DTC with several examples related to both drug discovery and drug repurposing applications and invite researchers to join this community effort to increase the reuse and extension of compound bioactivity data. DTC is a crowd-sourcing-based web platform to annotate drug-target bioactivity data The open environment improves data harmonization for drug repurposing applications DTC offers a comprehensive, reproducible, and sustainable bioactivity knowledge base Tang et al. launches a novel crowd-sourcing effort to standardize the collection, management, curation, and annotation of the notoriously heterogeneous compound-target bioactivity measurements. The web-based community platform aims to provide the most comprehensive, reproducible, and sustainable bioactivity knowledge base for the end users.
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影响因子:
14.8
作者:
Arrowsmith CH;Audia JE;Austin C;Baell J;Bennett J;Blagg J;Bountra C;Brennan PE;Brown PJ;Bunnage ME;Buser-Doepner C;Campbell RM;Carter AJ;Cohen P;Copeland RA;Cravatt B;Dahlin JL;Dhanak D;Edwards AM;Frederiksen M;Frye SV;Gray N;Grimshaw CE;Hepworth D;Howe T;Huber KV;Jin J;Knapp S;Kotz JD;Kruger RG;Lowe D;Mader MM;Marsden B;Mueller-Fahrnow A;Müller S;O'Hagan RC;Overington JP;Owen DR;Rosenberg SH;Roth B;Ross R;Schapira M;Schreiber SL;Shoichet B;Sundström M;Superti-Furga G;Taunton J;Toledo-Sherman L;Walpole C;Walters MA;Willson TM;Workman P;Young RN;Zuercher WJ
通讯作者:
Zuercher WJ
影响因子:
14.8
作者:
Knapp, Stefan;Arruda, Paulo;Zuercher, William J.
通讯作者:
Zuercher, William J.
DOI:
10.1038/nrd.2016.230
发表时间:
2017-01
期刊:
Nature reviews. Drug discovery
影响因子:
--
作者:
Santos R;Ursu O;Gaulton A;Bento AP;Donadi RS;Bologa CG;Karlsson A;Al-Lazikani B;Hersey A;Oprea TI;Overington JP
通讯作者:
Overington JP
影响因子:
28.2
作者:
Dienstmann R;Jang IS;Bot B;Friend S;Guinney J
通讯作者:
Guinney J
影响因子:
1.9
作者:
Abeyruwan S;Vempati UD;Küçük-McGinty H;Visser U;Koleti A;Mir A;Sakurai K;Chung C;Bittker JA;Clemons PA;Brudz S;Siripala A;Morales AJ;Romacker M;Twomey D;Bureeva S;Lemmon V;Schürer SC
通讯作者:
Schürer SC