Work

P2Y1 Antagonists: Combining Receptor-Based Modeling and QSAR for a Quantitative Prediction of the Biological Activity Based on Consensus Scoring

Year: 2007

Type: article

Source: Journal of Medicinal Chemistry

DOI: 10.1021/jm0700971

Authors: Stefano Costanzi, Irina G. Tikhonova, Michihiro Ohno, Eun Joo Roh, Bhalchandra V. Joshi, Anny-Odile Colson, Dayle Houston, Savitri Maddileti, T. Kendall Harden, Kenneth A. Jacobson

Institutions: University of North Carolina at Chapel Hill, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases

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

Funder: National Institutes of Health

OpenAlex ID: W2034756826

FWCI: 5.049

Cites: 26

Cited by: 34

Related to: 10