Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach

Xiao Min Hu; Jun Zhang; Jing Xiao; Yun Li

doi:10.2174/092986608784567465

Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach

Xiao Min Hu, Jun Zhang^*, Jing Xiao, Yun Li

^*Corresponding author for this work

Faculty Of Engineering

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

This paper proposes a flexible ant colony (FAC) algorithm for solving protein folding problems based on the hydrophobic-polar square lattice model. Collaborations of novel pheromone and heuristic strategies in the proposed algorithm make it more effective in predicting structures of proteins compared with other state-of-the-art algorithms.

Original language	English
Pages (from-to)	469-477
Number of pages	9
Journal	Protein and Peptide Letters
Volume	15
Issue number	5
DOIs	https://doi.org/10.2174/092986608784567465
Publication status	Published - 1 Jun 2008

Keywords

ant colony optimization
hydrophobic-polar (HP) model
protein folding
protein structure prediction

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title = "Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach",

abstract = "This paper proposes a flexible ant colony (FAC) algorithm for solving protein folding problems based on the hydrophobic-polar square lattice model. Collaborations of novel pheromone and heuristic strategies in the proposed algorithm make it more effective in predicting structures of proteins compared with other state-of-the-art algorithms.",

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T1 - Protein folding in hydrophobic-polar lattice model

T2 - a flexible ant-colony optimization approach

AU - Hu, Xiao Min

AU - Zhang, Jun

AU - Xiao, Jing

AU - Li, Yun

PY - 2008/6/1

Y1 - 2008/6/1

N2 - This paper proposes a flexible ant colony (FAC) algorithm for solving protein folding problems based on the hydrophobic-polar square lattice model. Collaborations of novel pheromone and heuristic strategies in the proposed algorithm make it more effective in predicting structures of proteins compared with other state-of-the-art algorithms.

AB - This paper proposes a flexible ant colony (FAC) algorithm for solving protein folding problems based on the hydrophobic-polar square lattice model. Collaborations of novel pheromone and heuristic strategies in the proposed algorithm make it more effective in predicting structures of proteins compared with other state-of-the-art algorithms.

KW - ant colony optimization

KW - hydrophobic-polar (HP) model

KW - protein folding

KW - protein structure prediction

UR - https://www.scopus.com/pages/publications/45749117897

U2 - 10.2174/092986608784567465

DO - 10.2174/092986608784567465

M3 - Article

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AN - SCOPUS:45749117897

SN - 0929-8665

VL - 15

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EP - 477

JO - Protein and Peptide Letters

JF - Protein and Peptide Letters

IS - 5

ER -

Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach

Abstract

Keywords

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