New Hybrid Genetic Based Support Vector Regression as QSAR Approach for Analyzing Flavonoids-GABA(A) Complexes-Reference-Cited by-同舟云学术

New Hybrid Genetic Based Support Vector Regression as QSAR Approach for Analyzing Flavonoids-GABA(A) Complexes

Published:2009-06-03 Issue:6 Volume:49 Page:1475-1485
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Goodarzi Mohammad¹²,Duchowicz Pablo R.¹²,Wu Chih H.¹²,Fernández Francisco M.¹²,Castro Eduardo A.¹²

Affiliation:

1. Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas INIFTA (UNLP, CCT La Plata-CONICET), Diag. 113 y 64, C.C. 16, Suc.4, 1900 La Plata, Argentina,

2. Department of Digital Content and Technology, National Taichung University No. 140, Ming-Shen Road, 40306 Taichung, Taiwan

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci900075f

Reference65 articles.

1. An Approach towards the Quantitative Structure-Activity Relationships of Caffeic Acid and its Derivatives

2. QSPR: the correlation and quantitative prediction of chemical and physical properties from structure

3. Augmented Three-mode MIA-QSAR Modeling for a Series of Anti-HIV-1 Compounds

4. A new search algorithm for QSPR/QSAR theories: Normal boiling points of some organic molecules

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