Consensus Modeling for Predicting Chemical Binding to Transthyretin as the Winning Solution of the Tox24 Challenge-Reference-Cited by-同舟云学术

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Consensus Modeling for Predicting Chemical Binding to Transthyretin as the Winning Solution of the Tox24 Challenge

Published:2025-02-19 Issue:3 Volume:38 Page:392-399
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Makarov Dmitriy M.¹^ORCID,Ksenofontov Alexander A.¹^ORCID,Budkov Yury A.¹²³^ORCID

Affiliation:

1. G. A. Krestov Institute of Solution Chemistry of the Russian Academy of Sciences

2. Laboratory of Computational Physics, HSE University, Tallinskaya st. 34, Moscow 123458, Russia

3. School of Applied Mathematics, HSE University, Tallinskaya st. 34, Moscow 123458, Russia

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.4c00421

Reference42 articles.

1. Can the pharmaceutical industry reduce attrition rates?

2. Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs

3. Tox24 Challenge

4. Transthyretin: a review from a structural perspective

5. Transthyretin-related amyloidoses and the heart: a clinical overview

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In silico prediction of drug-induced cardiotoxicity with ensemble machine learning and structural pattern recognition;Molecular Diversity;2025-06-26

2. Consensus Modeling Strategies for Predicting Transthyretin Binding Affinity from Tox24 Challenge Data;Chemical Research in Toxicology;2025-05-15

3. Improved Solubility Predictions in scCO₂ Using Thermodynamics-Informed Machine Learning Models;Journal of Chemical Information and Modeling;2025-04-15

4. Predicting the Toxicity of Drug Molecules with Selecting Effective Descriptors Using a Binary Ant Colony Optimization (BACO) Feature Selection Approach;Molecules;2025-03-31

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