Work

RespiraTox – Development of a QSAR model to predict human respiratory irritants

Year: 2021

Type: article

Source: Regulatory Toxicology and Pharmacology

DOI: 10.1016/j.yrtph.2021.105089

Authors: Matthias M. Wehr, Satinder S. Sarang, Martijn Rooseboom, Peter J. Boogaard, Andreas Karwath, Sylvia E. Escher

Institutions: Fraunhofer Institute for Toxicology and Experimental Medicine, Shell (United States), Shell (Netherlands), Wageningen University & Research, University of Birmingham

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: green

Funders: National Centre for the Replacement, Refinement and Reduction of Animals in Research, National Centre for the Replacement Refinement and Reduction of Animals in Research, Medical Research Council

Awards: G1571756507, G1632135183, Semantic-based secure infrastructure for interoperable, in-depth biomedical data and analytics

OpenAlex ID: W3217575321

FWCI: 0.845

Cites: 25

Cited by: 23

Related to: 10