Extended particle swarm optimisation method for folding protein on triangular lattice

Author:

Guo Yuzhen1,Wu Zikai2,Wang Ying3,Wang Yong4

Affiliation:

1. Department of MathematicsNanjing University of Aeronautics and AstronauticsNanjingPeople's Republic of China

2. Business School, University of Shanghai for Science and TechnologyShanghaiPeople's Republic of China

3. School of Science, Dalian Jiaotong UniversityDalianPeople's Republic of China

4. Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijingPeople's Republic of China

Funder

Nanjing University of Aeronautics and Astronautics

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Reference15 articles.

1. Application of BP neural network in protein secondary structure prediction;Wang F.;Comput. Technol. Dev.,2009

2. Principles of protein folding - A perspective from simple exact models

3. An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction;Su S.C.;Protemoe Sci.,2011

4. An efficient approach for solving the HP protein folding problem based on UEGO;Garcia J.M.;J. Math. Chem.,2015

5. On the complexity of protein folding;Crescenzi P.;J. Computat. Biol.,1998

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