Accelerating Protein Structure Prediction using Particle Swarm Optimization on GPU

Khakzad, Hamed; Karami, Yasaman; Arab, Seyed Shahriar

doi:10.1101/022434

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…The Particle Swarm Optimization search algorithm is used to discover the ideal pair of dihedral angles of a structure utilising a profile-level knowledge-based force field. Detail the populationbased harmony search as the optimizer as well as the 2D-AB off-lattice model [114]. In an effort to improve the artificial intelligence-based protein structure refinement method known as AIR, the authors of Wang et al [115] developed a unique multi-objective particle swarm optimization (PSO) structure refinement protocol.…”

Section: Swarm Intelligence (Si) Techniquesmentioning

confidence: 99%

A Progress on Protein Structure Prediction using Various Soft Computing Techniques

Chaudhary¹,

Saini²

2022

Computer Science and Information Technology Trends

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In molecular and computational biology, predicting the three-dimensional structure of a protein from its amino acid sequence has long been an outstanding goal. Soft computing techniques for solving protein structure prediction problems have been gaining the attention of researchers because of their capacity to accommodate imprecision and uncertainty in vast and complicated search spaces. This paper provides a comprehensive overview of recent protein structure prediction efforts and progress using various soft computing techniques. This paper summarises key research in the field of protein structure prediction that has been published in the recent decade. Despite significant research efforts in recent decades, there is still a lot of room for improvement in this field.

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Section: Swarm Intelligence (Si) Techniquesmentioning

confidence: 99%