Research on predicting 2D-HP protein folding using reinforcement learning with full state space

BACKGROUND: Protein structure prediction has always been an important issue in bioinformatics. Prediction of the two-dimensional structure of proteins based on the hydrophobic polarity model is a typical non-deterministic polynomial hard problem. Currently reported hydrophobic polarity model optimiz...

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Detalles Bibliográficos
Autores principales: Wu, Hongjie, Yang, Ru, Fu, Qiming, Chen, Jianping, Lu, Weizhong, Li, Haiou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929271/
https://www.ncbi.nlm.nih.gov/pubmed/31874607
http://dx.doi.org/10.1186/s12859-019-3259-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929271/
https://www.ncbi.nlm.nih.gov/pubmed/31874607
http://dx.doi.org/10.1186/s12859-019-3259-6

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