Virtual Screening for COX-2 Inhibitors with Random Forest Algorithm and Feature Selection-Reference-Cited by-同舟云学术

Virtual Screening for COX-2 Inhibitors with Random Forest Algorithm and Feature Selection

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Bioinformatics Research and Applications 2017 - ICBRA 2017
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Author:

Ai Shangjie¹,Bai Yong¹,Liu Xiande²

Affiliation:

1. State Key Lab of Marine Resource, Utilization in South China Sea, College of Information Science and Technology, Hainan University, Haikou, Hainan, China

2. Department of Veterinary Medicine, Hainan University, Haikou, Hainan, China

Publisher

ACM Press

Reference16 articles.

1. Todeschini R, Consonni V, Handbook of Molecular Descriptors, 2008, John Wiley & Sons.

2. Hong H, Xie Q, Ge W, et al. "Mold(2), molecular descriptors from 2D structures for chemoinformatics and toxicoinformatics", Journal of Chemical Information & Modeling, 2008, 48(7):1337--44.

3. Karelson M, Lobanov V S, Katritzky A R., "Quantum-Chemical Descriptors in QSAR/QSPR Studies", Chemical Reviews, 1996, 96(3):1027--1044.

4. Hawkey CJ. Cox-2 inhibitors. Lancet. 1999; 353:307--14.

5. Randall E Harris, Bruce C Casto, Zachary M Harris. "Cyclooxygenase-2 and the inflammogenesis of breast cancer", World J Clin Oncol, 2014; 5(4): 677--692

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