Work

Finding Needles in a Haystack: Determining Key Molecular Descriptors Associated with the Blood‐brain Barrier Entry of Chemical Compounds Using Machine Learning

Year: 2019

Type: article

Source: Molecular Informatics

DOI: 10.1002/minf.201800164

Authors: Subhabrata Majumdar, Subhash C. Basak, Claudiu N. Lungu, Mircea V. Diudea, Gregory D. Grunwald

Institutions: AT&T (United States), University of Florida, University of Minnesota, University of Minnesota, Duluth, Babeș-Bolyai University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2963300152

FWCI: 0.839

Cites: 47

Cited by: 21

Related to: 10