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

Dubchak I., Holbrook S.R., Muchnik I.
Lawrence Berkeley National Laboratory, US

Keywords: computer simulated neural networks, exon-intron discrimination, functional RNA genes, protein fold prediction

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.

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Journal: TechConnect Briefs
Volume: Technical Proceedings of the 1999 International Conference on Modeling and Simulation of Microsystems
Published: April 19, 1999
Pages: 38 - 41
Industry sector: Medical & Biotech
Topics: Biomaterials, Informatics, Modeling & Simulation
ISBN: 0-9666135-4-6