Prediction of cytotoxicity data (CC50) of anti-HIV 5-pheny-l-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg–Marquardt algorithm-Reference-Cited by-同舟云学术

Prediction of cytotoxicity data (CC50) of anti-HIV 5-pheny-l-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg–Marquardt algorithm

Published:2007-07 Issue:1 Volume:26 Page:360-367
ISSN:1093-3263
Container-title:Journal of Molecular Graphics and Modelling
language:en
Short-container-title:Journal of Molecular Graphics and Modelling

Author:

Arab Chamjangali M.,Beglari M.,Bagherian G.

Publisher

Elsevier BV

Subject

Materials Chemistry,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Spectroscopy

Reference50 articles.

1. Pneumocystis carinii pneumonia and mucosal candidiasis in previously healthy homosexual men: evidence of a new acquired cellular immunodeficiency;Gottlieb;Engl. J. Med.,1981

2. Isolation of a T-lymphotropic retrovirus from a patient at risk for acquired immune deficiency syndrome (AIDS);Barre-Sinoussi;Science,1983

3. UNAIDS/WHO AIDS Epidemic Update, December 2003, UNAIDS/WHO, Geneva, Switzerland, 2003.

4. Toward improved anti-HIV chemotherapy: therapeutic strategies for intervention with HIV infections;De Clercq;J. Med. Chem.,1995

5. Non-nucleoside anti-HIV-1 reverse transcriptase inhibitors (NNRTIs): a chemical survey from lead compounds to selected drugs for clinical trials;Artico;Farmaco,1996

Cited by 41 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. Approach to Chemometrics Models by Artificial Neural Network for Structure: First Applications for Estimation Retention Time of Doping Agent;CHEM METHODOL;2023

2. Quasi-SMILES as a Tool for Peptide QSAR Modelling;Challenges and Advances in Computational Chemistry and Physics;2023

3. Application of artificial neural networks to the prediction of antifungal activity of imidazole derivatives against Candida albicans;Chemometrics and Intelligent Laboratory Systems;2022-03

4. QSAR modeling of anti-HIV activity for DAPY-like derivatives using the mixture of ligand-receptor binding information and functional group features as a new class of descriptors;Network Modeling Analysis in Health Informatics and Bioinformatics;2020-08-10

5. LM-ANN-based QSAR model for the prediction of pEC50 for a set of potent NNRTI using the mixture of ligand–receptor interaction information and drug-like indexes;Network Modeling Analysis in Health Informatics and Bioinformatics;2020-07-24