Deep learning geometrical potential for high-accuracy ab initio protein structure prediction
Deep learning geometrical potential for high-accuracy ab initio protein structure prediction is a scholarly work, published in 2022 in ''iScience''. The main subjects of the publication include protein structure prediction, protein structure, computer science, deep learning, artificial intelligence, machine learning, chemistry, ab initio, and Critical Assessment of protein Structure Prediction. The authors developed a new deep learning model, DeepPotential, which accurately predicts the distribution of a complementary set of geometric descriptors including a novel hydrogen-bonding potential defined by C-alpha atom coordinates.