canSAR: update to the cancer translational research and drug discovery knowledgebase

被引：74

作者：

Mitsopoulos, Costas ^{[1
,2
]}

Di Micco, Patrizio ^{[1
]}

Fernandez, Eloy Villasclaras ^{[1
]}

Dolciami, Daniela ^{[1
,2
]}

Holt, Esty ^{[1
]}

Mica, Ioan L. ^{[1
]}

Coker, Elizabeth A. ^{[1
,3
]}

Tym, Joseph E. ^{[1
]}

Campbell, James ^{[1
]}

Che, Ka Hing ^{[2
]}

Ozer, Bugra ^{[1
,4
]}

Kannas, Christos ^{[1
,5
]}

Antolin, Albert A. ^{[1
]}

Workman, Paul ^{[2
]}

Al-Lazikani, Bissan ^{[1
,2
]}

机构：

[1] Inst Canc Res, Dept Data Sci, London SM2 5NG, England

[2] Inst Canc Res, Canc Res UK Canc Therapeut Unit, London SM2 5NG, England

[3] Wellcome Sanger Inst, Hinxton, England

[4] Healx Ltd, Cambridge, England

[5] R&D AstraZeneca, Discovery Sci, Hit Discovery, Gothenburg, Sweden

来源：

NUCLEIC ACIDS RESEARCH | 2021年 / 49卷 / D1期

基金：

英国惠康基金;

关键词：

DATABASE;

D O I：

10.1093/nar/gkaa1059

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and more. It also provides unique data, curation and annotation and crucially, AI-informed target assessment for drug discovery. canSAR is widely used internationally by academia and industry. Here we describe significant developments and enhancements to the data, web interface and infrastructure of canSAR in the form of the new implementation of the system: canSARblack. We demonstrate new functionality in aiding translation hypothesis generation and experimental design, and show how canSAR can be adapted and utilised outside oncology.

引用

页码：D1074 / D1082

页数：9

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