title: Neural network prediction of the HIV-1 protease cleavage sites.
abstract: A back propagation neural network method has been developed to study the pattern of polypeptides that can be cleaved by the HIV-1 protease. This method can incorporate many characteristics of the peptides, such as hydrophobicity, beta-sheet and alpha-helix propensities. Mutations can also be applied to probe the most important factors that influence the cleavage.
authors.affiliation: Department of Chemistry, Northern Illinois University, DeKalb 60115, USA.
authors.forename: T B
authors.initials: TB
authors.lastname: Thompson
authors.forename: K C
authors.initials: KC
authors.lastname: Chou
authors.forename: C
authors.initials: C
authors.lastname: Zheng
mesh_terms: D000595:Amino Acid Sequence; D016333:HIV Protease / Q000378:metabolism*; D015497:HIV-1; D006868:Hydrolysis; D008969:Molecular Sequence Data; D016571:Neural Networks, Computer
chemical_list: D016333:HIV Protease