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Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic–Polar model

  • Published:2019-10 Issue: Volume:113 Page:103397
  • ISSN:0010-4825
  • Container-title:Computers in Biology and Medicine
  • language:en
  • Short-container-title:Computers in Biology and Medicine

Author:

Yang Cheng-Hong,Lin Yu-Shiun,Chuang Li-Yeh,Lin Yu-Da

Funder

Ministry of Science and Technology, Taiwan, R.O.C

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference18 articles.

1. The formation and stabilization of protein structure;Anfinsen;Biochem. J.,1972

2. The cerebral proteopathies: neurodegenerative disorders of protein conformation and assembly;Walker;Mol. Neurobiol.,2000

3. Theory for the folding and stability of globular proteins;Dill;Biochemistry,1985

4. Application of local rules and cellular automata in representing protein translation and enhancing protein folding approximation;Madain;Progress in Artificial Intelligence,2018

5. Protein structure prediction in 2D HP lattice model using differential evolutionary algorithm;Jana,2012

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1. Bilinear optimization of protein structure prediction: An exact approach via AB off-lattice model;Computers in Biology and Medicine;2024-06

2. GBMPSO: Hybrid Gradient Boosting Machines with Particle Swarm Optimization in Cell Segmentation Data;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

3. A Clustering-Based Gauss Chaotic Mapping Particle Swarm Optimization for Auto Labeling in Human Activity Recognition;2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI);2021-11
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