143 related articles for article (PubMed ID: 31874607)
1. Research on predicting 2D-HP protein folding using reinforcement learning with full state space.
Wu H; Yang R; Fu Q; Chen J; Lu W; Li H
BMC Bioinformatics; 2019 Dec; 20(Suppl 25):685. PubMed ID: 31874607
[TBL] [Abstract][Full Text] [Related]
2. Heuristic-based tabu search algorithm for folding two-dimensional AB off-lattice model proteins.
Liu J; Sun Y; Li G; Song B; Huang W
Comput Biol Chem; 2013 Dec; 47():142-8. PubMed ID: 24077543
[TBL] [Abstract][Full Text] [Related]
3. An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem.
Shmygelska A; Hoos HH
BMC Bioinformatics; 2005 Feb; 6():30. PubMed ID: 15710037
[TBL] [Abstract][Full Text] [Related]
4. A Particle Swarm Optimization-Based Approach with Local Search for Predicting Protein Folding.
Yang CH; Lin YS; Chuang LY; Chang HW
J Comput Biol; 2017 Oct; 24(10):981-994. PubMed ID: 28287821
[TBL] [Abstract][Full Text] [Related]
5. Energy-landscape paving for prediction of face-centered-cubic hydrophobic-hydrophilic lattice model proteins.
Liu J; Song B; Liu Z; Huang W; Sun Y; Liu W
Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Nov; 88(5):052704. PubMed ID: 24329293
[TBL] [Abstract][Full Text] [Related]
6. Wang-Landau sampling in face-centered-cubic hydrophobic-hydrophilic lattice model proteins.
Liu J; Song B; Yao Y; Xue Y; Liu W; Liu Z
Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Oct; 90(4):042715. PubMed ID: 25375531
[TBL] [Abstract][Full Text] [Related]
7. A Comparative Study on Single and Multiple Point Crossovers in a Genetic Algorithm for Coarse Protein Modeling.
Dubey SPN; Kini NG; Balaji S; Kumar MS
Crit Rev Biomed Eng; 2018; 46(2):163-171. PubMed ID: 30055532
[TBL] [Abstract][Full Text] [Related]
8. Heuristic energy landscape paving for protein folding problem in the three-dimensional HP lattice model.
Liu J; Li G; Yu J; Yao Y
Comput Biol Chem; 2012 Jun; 38():17-26. PubMed ID: 22551826
[TBL] [Abstract][Full Text] [Related]
9. Protein structure prediction with local adjust tabu search algorithm.
Lin X; Zhang X; Zhou F
BMC Bioinformatics; 2014; 15 Suppl 15(Suppl 15):S1. PubMed ID: 25474708
[TBL] [Abstract][Full Text] [Related]
10. Protein-folding simulations of the hydrophobic-hydrophilic model by combining pull moves with energy landscape paving.
Liu J; Li G; Yu J
Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Sep; 84(3 Pt 1):031934. PubMed ID: 22060430
[TBL] [Abstract][Full Text] [Related]
11. Protein Folding Prediction in a Cubic Lattice in Hydrophobic-Polar Model.
Yanev N; Traykov M; Milanov P; Yurukov B
J Comput Biol; 2017 May; 24(5):412-421. PubMed ID: 27901606
[TBL] [Abstract][Full Text] [Related]
12. Optimal HP configurations of proteins by combining local search with elastic net algorithm.
Guo YZ; Feng EM; Wang Y
J Biochem Biophys Methods; 2007 Apr; 70(3):335-40. PubMed ID: 16982100
[TBL] [Abstract][Full Text] [Related]
13. Analysis on folding of misgurin using two-dimensional HP model.
Yan S; Wu G
Proteins; 2012 Mar; 80(3):764-73. PubMed ID: 22113728
[TBL] [Abstract][Full Text] [Related]
14. A New Heuristic Algorithm for Protein Folding in the HP Model.
Traykov M; Angelov S; Yanev N
J Comput Biol; 2016 Aug; 23(8):662-8. PubMed ID: 27153764
[TBL] [Abstract][Full Text] [Related]
15. A new branch and bound method for the protein folding problem under the 2D-HP model.
Hsieh SY; Lai DW
IEEE Trans Nanobioscience; 2011 Jun; 10(2):69-75. PubMed ID: 21742572
[TBL] [Abstract][Full Text] [Related]
16. Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm.
Yang CH; Wu KC; Lin YS; Chuang LY; Chang HW
BioData Min; 2018; 11():17. PubMed ID: 30116298
[TBL] [Abstract][Full Text] [Related]
17. Fast protein folding in the hydrophobic-hydrophilic model within three-eighths of optimal.
Hart WE; Istrail SC
J Comput Biol; 1996; 3(1):53-96. PubMed ID: 8697239
[TBL] [Abstract][Full Text] [Related]
18. A Computational Approach to Studying Protein Folding Problems Considering the Crucial Role of the Intracellular Environment.
González-Pérez PP; Orta DJ; Peña I; Flores EC; Ramírez JU; Beltrán HI; Alas SJ
J Comput Biol; 2017 Oct; 24(10):995-1013. PubMed ID: 28177752
[TBL] [Abstract][Full Text] [Related]
19. Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach.
Hu XM; Zhang J; Xiao J; Li Y
Protein Pept Lett; 2008; 15(5):469-77. PubMed ID: 18537736
[TBL] [Abstract][Full Text] [Related]
20. A test of lattice protein folding algorithms.
Yue K; Fiebig KM; Thomas PD; Chan HS; Shakhnovich EI; Dill KA
Proc Natl Acad Sci U S A; 1995 Jan; 92(1):325-9. PubMed ID: 7816842
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
