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DeepMDisPre: Predicting Protein Distances by Naimur Rahman is a document available to read on EtoBox.

What is DeepMDisPre: Predicting Protein Distances about?

The article presents DeepMDisPre, a deep learning method for predicting inter-residue multiple distances and exploring protein multiple conformations, addressing the limitations of existing methods. The study demonstrates that DeepMDisPre outperforms comparative methods in accuracy for both flexible and rigid residue pairs, and successfully models multiple conformations of proteins. The executable program is available for public use at the provided GitHub link.

Author

Naimur Rahman

Language

EN