Work

Machine Learning in Virtual Screening

Year: 2009

Type: article

Source: Combinatorial Chemistry & High Throughput Screening

DOI: 10.2174/138620709788167980

Authors: James Melville, Edmund Burke, Jonathan Hirst

Institution: University of Nottingham

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

Open Access status: closed

Funders: University of Nottingham, Engineering and Physical Sciences Research Council

Award: G7825761375

OpenAlex ID: W2121776789

FWCI: 4.026

Cites: 6

Cited by: 207

Related to: 10