Analysis of Proteasome Inhibition Prediction Using Atom-Based Quadratic Indices Enhanced by Machine Learning Classification Techniques-Reference-Cited by-同舟云学术

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Analysis of Proteasome Inhibition Prediction Using Atom-Based Quadratic Indices Enhanced by Machine Learning Classification Techniques

Published:2014-05-31 Issue:6 Volume:11 Page:705-711
ISSN:1570-1808
Container-title:Letters in Drug Design & Discovery
language:en
Short-container-title:LDDD

Author:

Casanola-Martin Gerardo,Le-Thi-Thu Huong,Marrero-Ponce Yovani,Garit Juan,Torrens Francisco,Perez-Gimenez Facundo,Abad Concepcion

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Cited by 12 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. Exploring proteasome inhibition using atomic weighted vector indices and machine learning approaches;Molecular Diversity;2023-04-05

2. Anti-inflammatory Activity: In silico and In vivo of Sapogenins Present in Agave brittoniana subsp. brachypus (Trel.);Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry;2023-03

3. Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree;SAR and QSAR in Environmental Research;2021-01-02

4. Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning Techniques;Current Topics in Medicinal Chemistry;2019-01-31

5. Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry;Current Topics in Medicinal Chemistry;2018-02-09

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