Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach-Reference-Cited by-同舟云学术

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Classification of Human Pregnane X Receptor (hPXR) Activators and Non-Activators by Machine Learning Techniques: A Multifaceted Approach

Published:2016-04-13 Issue:4 Volume:19 Page:307-318
ISSN:1386-2073
Container-title:Combinatorial Chemistry & High Throughput Screening
language:en
Short-container-title:CCHTS

Author:

Rathod Vijay,Belekar Vilas,Garg Prabha,T. Sangamwar Abhay

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

Cited by 3 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. Machine learning based models for high-throughput classification of human pregnane X receptor activators;Environmental Science: Advances;2023

2. Development and Experimental Validation of Regularized Machine Learning Models Detecting New, Structurally Distinct Activators of PXR;Cells;2022-04-07

3. Computational prediction of cytochrome P450 inhibition and induction;Drug Metabolism and Pharmacokinetics;2020-02

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