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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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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929271/ https://ncbi.nlm.nih.gov/pubmed/31874607 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3259-6 |
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