most citedApplying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction

15 citations · 15 across the 1 of their papers we have counts for

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cs.LG2022★ 15 cited

Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction

Kaiyuan Yang, Houjing Huang, Olafs Vandans +4

A central problem in computational biophysics is protein structure prediction, i.e., finding the optimal folding of a given amino acid sequence. This problem has been studied in a…