Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds-Reference-Cited by-同舟云学术

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Construction and Consensus Performance of (Q)SAR Models for Predicting Phospholipidosis Using a Dataset of 743 Compounds

Published:2012-09-07 Issue:10 Volume:31 Page:725-739
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Orogo Amabel M.,Choi Sydney S.,Minnier Barbara L.,Kruhlak Naomi L.

Funder

FDA CDER Phospholipidosis Working Group

RCA partners MultiCASE Inc.

Leadscope Inc.

Lhasa Limited

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/minf.201200048/fullpdf

Reference44 articles.

1. Drug-induced Phospholipidosis -Pathological Aspects and Its Prediction

2. Drug-induced phospholipidosis

3. Drug-induced phospholipidosis: issues and future directions

4. Drug-Induced Phospholipidosis: Are There Functional Consequences?

5. Cationic Amphiphilic Drug-Induced Phospholipidosis

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3. A machine learning and live-cell imaging tool kit uncovers small molecules induced phospholipidosis;Cell Chemical Biology;2023-12

4. Development of an in silico consensus model for the prediction of the phospholipigenic potential of small molecules;Computational Toxicology;2022-05

5. Repurposing the Ebola and Marburg Virus Inhibitors Tilorone, Quinacrine, and Pyronaridine: In Vitro Activity against SARS-CoV-2 and Potential Mechanisms;ACS Omega;2021-03-10

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