Integrating Mechanistic and Toxicokinetic Information in Predictive Models of Cholestasis-Reference-Cited by-同舟云学术

Integrating Mechanistic and Toxicokinetic Information in Predictive Models of Cholestasis

Published:2023-09-03 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Rodríguez-Belenguer Pablo¹²^ORCID,Mangas-Sanjuan Victor²³,Soria-Olivas Emilio⁴^ORCID,Pastor Manuel¹^ORCID

Affiliation:

1. Research Programme on Biomedical Informatics (GRIB), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain

2. Department of Pharmacy and Pharmaceutical Technology and Parasitology, Universitat de València, 46100 Valencia, Spain

3. Interuniversity Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València, 46100 Valencia, Spain

4. IDAL, Intelligent Data Analysis Laboratory, ETSE, Universitat de València, 46100 Valencia, Spain

Funder

European Commission

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00945

Reference59 articles.

1. IVIVE: Facilitating the Use of In Vitro Toxicity Data in Risk Assessment and Decision Making

2. NAM-supported read-across: From case studies to regulatory guidance in safety assessment

3. A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures

4. In Silico Methods for Environmental Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives

5. Statistical methods for in silico tools used for risk assessment and toxicology

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