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Hepatitis C virus contact map prediction based on binary encoding strategy

Paper ID Volume ID Publish Year Pages File Format Full-Text
15459 1414 2007 6 PDF Available
Title
Hepatitis C virus contact map prediction based on binary encoding strategy
Abstract

Inter-residue contact map is an important two-dimensional representation of protein spatial structure, and has much potential application in the area of understanding protein fold mechanism. In the present note, a 19-bit binary input encoding strategy, integrating with residue pair conformational features (possible residue pairwise, residue classification, secondary structure, sequence length, and sequence separation information), is proposed for the purpose of capturing mapping relationship of protein sequence. Simulation results on a set of 61 hepatitis C virus (HCV) retrieved from the protein data bank (PDB) demonstrate that the proposed encoding scheme could precisely capture conformational patterns within HCV protein sequence. This promising result could provide some useful insights into the nature of HCV protein fold mechanism.

Keywords
Hepatitis C virus; Contact map prediction; Binary encoding strategy; Radial basis function neural networks; Genetic algorithm
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 31, Issue 3, June 2007, Pages 233–238
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us