Work

Application of Predictive QSAR Models to Database Mining: Identification and Experimental Validation of Novel Anticonvulsant Compounds

Year: 2004

Type: article

Source: Journal of Medicinal Chemistry

DOI: 10.1021/jm030584q

Authors: Min Shen, Cécile Béguin, Alexander Golbraikh, James P. Stables, Harold Kohn, Alexander Tropsha

Institutions: University of North Carolina at Chapel Hill, National Institutes of Health, National Institute of Neurological Disorders and Stroke, University of Houston

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: closed

Funders: National Institutes of Health, National Institute of General Medical Sciences

Awards: Predictive QSAR Modeling, G8803173347

OpenAlex ID: W2039774147

FWCI: 11.17

Cites: 23

Cited by: 150

Related to: 10