Abstract
The best way to introduce information about amino acid residues into calculations of protein bioinformatics was examined. That was done for predicting helical regions with a neural network. Several fundamental and instructive ways for information processing were developed and are described.
Keywords: Amino acids, helical regions, information processing, neural network
Protein & Peptide Letters
Title: Inputting Information About Amino Acid Residues in Protein Bioinformatics: A Case Study on Predicting Helical Regions with a Neural Network
Volume: 13 Issue: 7
Author(s): Taiji Imoto
Affiliation:
Keywords: Amino acids, helical regions, information processing, neural network
Abstract: The best way to introduce information about amino acid residues into calculations of protein bioinformatics was examined. That was done for predicting helical regions with a neural network. Several fundamental and instructive ways for information processing were developed and are described.
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Cite this article as:
Imoto Taiji, Inputting Information About Amino Acid Residues in Protein Bioinformatics: A Case Study on Predicting Helical Regions with a Neural Network, Protein & Peptide Letters 2006; 13 (7) . https://dx.doi.org/10.2174/092986606777790638
DOI https://dx.doi.org/10.2174/092986606777790638 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
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