Protein structure prediction using distributed parallel particle swarm optimization

DOI10.1007/S11047-012-9325-XzbMath1334.92309OpenAlexW2030042724MaRDI QIDQ269061

Ivan Kondov

Publication date: 18 April 2016

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-012-9325-x

zbMATH Keywords

global optimizationparallel and distributed computingparticle swarm optimizationforce fieldprotein structure prediction

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

An efficient approach for solving the HP protein folding problem based on UEGO

Uses Software

• PyMOL
• Open Babel
• ArFlock

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• A review of recent advances in global optimization
• Parallel asynchronous particle swarm optimization
• Comparison of linear and classical velocity update rules in particle swarm optimization: notes on diversity
• Comparison of linear and classical velocity update rules in particle swarm optimization: notes on scale and frame invariance
• Parallel global optimization with the particle swarm algorithm

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