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

Author:

di Micco Patrizio12ORCID,Antolin Albert A3ORCID,Mitsopoulos Costas3,Villasclaras-Fernandez Eloy2,Sanfelice Domenico23,Dolciami Daniela2,Ramagiri Pradeep3,Mica Ioan L12,Tym Joseph E2,Gingrich Philip W1,Hu Huabin3,Workman Paul3ORCID,Al-Lazikani Bissan1ORCID

Affiliation:

1. The Department of Genomic Medicine & The Institute of Data Science in Oncology, MD Anderson Cancer Center , Houston, TX, USA

2. The Department of Data Science, The Institute of Cancer Research , London, UK

3. Centre for Cancer Drug Discovery, The Division of Cancer Therapeutics, The Institute of Cancer Research , London, UK

Abstract

Abstract canSAR (https://cansar.ai) is the largest public cancer drug discovery and translational research knowledgebase. Now hosted in its new home at MD Anderson Cancer Center, canSAR integrates billions of experimental measurements from across molecular profiling, pharmacology, chemistry, structural and systems biology. Moreover, canSAR applies a unique suite of machine learning algorithms designed to inform drug discovery. Here, we describe the latest updates to the knowledgebase, including a focus on significant novel data. These include canSAR’s ligandability assessment of AlphaFold; mapping of fragment-based screening data; and new chemical bioactivity data for novel targets. We also describe enhancements to the data and interface.

Funder

Cancer Research UK

‘canSAR: enhancing the drug discovery knowledgebase’

CPRIT

CRUK

Chordoma Foundation

Mark Foundation

Wellcome Trust

Wellcome Trust Sir Henry Wellcome Postdoctoral Fellowship

Publisher

Oxford University Press (OUP)

Subject

Genetics

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