Work

Prediction of binding affinity and efficacy of thyroid hormone receptor ligands using QSAR and structure-based modeling methods

Year: 2014

Type: article

Source: Toxicology and Applied Pharmacology

DOI: 10.1016/j.taap.2014.07.009

Authors: Regina Politi, Ivan Rusyn, Alexander Tropsha

Institution: University of North Carolina at Chapel Hill

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: green

Funders: U.S. Environmental Protection Agency, National Institutes of Health, National Institute of General Medical Sciences

Awards: Chembench: the Integrated Web Portal to Accelerate Cheminformatics and Chemical G, G3071707208, Predictive QSAR Modeling, G43106003, G6879219894, Robust computational framework for predictive ADME-Tox modeling

OpenAlex ID: W2059922911

FWCI: 2.227

Cites: 58

Cited by: 34

Related to: 10