Work

Phenotypic Screening Combined with Machine Learning for Efficient Identification of Breast Cancer-Selective Therapeutic Targets

Year: 2018

Type: article

Source: Cell chemical biology

DOI: 10.1016/j.chembiol.2019.03.011

Authors: Prson Gautam, Alok Jaiswal, Tero Aittokallio, Hassan Al-Ali, Krister Wennerberg

Institutions: University of Helsinki, Institute for Molecular Medicine Finland, HiLIFE – Elämäntieteiden Instituutti, University of Turku, University of Miami, Sylvester Comprehensive Cancer Center, University of Copenhagen, Novo Nordisk Foundation

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Novartis, University of Miami, Helsingin Yliopisto, Bayer Fund, Academy of Finland, Novo Nordisk, Sigrid Juséliuksen Säätiö, Syöpäjärjestöt, Novo Nordisk Fonden, Biocenter Finland, National Institutes of Health, Novartis Pharma, National Center for Advancing Translational Sciences

Awards: G3589578894, G3634603146, G3756483984, Developing a novel platform for rapid identification of drug targets and anti-targets, G65047521, G6513317427, G7044228676, G841744108

OpenAlex ID: W2930449049

FWCI: 3.547

Cites: 32

Cited by: 44

Related to: 10