Amino acid sequence autocorrelation vectors and Bayesian-regularized genetic neural networks for modeling protein conformational stability: gene V protein mutants期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Amino acid sequence autocorrelation vectors and Bayesian-regularized genetic neural networks for modeling protein conformational stability: gene V protein mutants

Authors:	Fernández Leyden Caballero Julio Abreu José Ignacio Fernández Michael

Affiliation:	Molecular Modeling Group, Center for Biotechnological Studies, Faculty of Agronomy, University of Matanzas, 44740 Matanzas, Cuba.

Abstract:

Keywords:	protein stability prediction point mutations Bayesian regularization artificial neural networks genetic algorithm
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