4.3 Article

Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14

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Summary: The research aims to develop deep learning methods for accurately predicting residue-residue distances in proteins and achieve good performance in CASP14. The quality and depth of MSAs have a significant impact on the accuracy of distance prediction. Using larger training datasets and multiple complementary features improves prediction accuracy.

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