Nano Science and Technology Institute
MSM 99
MSM 99
Technical Proceedings of the 1999 International Conference on Modeling and Simulation of Microsystems
 
Chapter 2: Computational Initiatives in Biotechnology
 

Global Description of Amino Acid & Nucleotide Sequences: Application to Predicting Protein Folds, Intron-Exon Discrimination, & RNA Gene Identification

Authors:I. Dubchak, S.R. Holbrook and I. Muchnik
Affilation:Lawrence Berkeley National Laboratory, US
Pages:38 - 41
Keywords:protein fold prediction, exon-intron discrimination, functional RNA genes, computer simulated neural networks
Abstract:General global sequence descriptors have been developed which proved to be widely applicable to the prediction of properties of biological genes and gene products. These descriptors include composition, transition, and distribution of defined attributes in the amino acid or nucleotide sequence. We have tested this approach on three completely distinct biological problems: 1) prediction of protein three-dimensional folds, 2) discrimination between sequences of gene introns and exons, and 3) identification of putative RNA genes in genomic sequences.
Global Description of Amino Acid & Nucleotide Sequences: Application to Predicting Protein Folds, Intron-Exon Discrimination, & RNA Gene IdentificationView PDF of paper
ISBN:0-9666135-4-6
Pages:697
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