Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM)

Three-class classification models of logS and logP derived by using GA–CG–SVM approach

(2009) Hui Zhang et al.   MOLECULAR DIVERSITY

Prediction of protein structure class by coupling improved genetic algorithm and support vector machine

(2008) Z.-C. Li et al.   AMINO ACIDS

An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs

(2008) Sheng-Yong Yang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A novel QSAR model for predicting the inhibition of CXCR3 receptor by 4-N-aryl-[1,4] diazepane ureas

(2008) Antreas Afantitis et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY

QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks

(2008) Santiago Vilar et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Classification of voltage-gated K+ ion channels from 3D pseudo-folding graph representation of protein sequences using genetic algorithm-optimized support vector machines

(2008) Michael Fernández et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA–CG–SVM method

(2008) Chang-Ying Ma et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices

(2008) Cristian Robert Munteanu et al.   JOURNAL OF THEORETICAL BIOLOGY

Using genetic algorithms to select most predictive protein features

(2008) Andrew Kernytsky et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS