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Deep Learning in Molecular Docking by Fabian is a document available to read on EtoBox.

This review article discusses the advancements in deep learning (DL) techniques for improving docking pose selection in molecular docking, a critical process in drug discovery. It highlights the limitations of traditional scoring functions in accurately identifying ligand binding conformations and presents new DL-based methods developed by the authors. The review also compares the performance of classical scoring functions with these novel DL approaches, emphasizing the potential of DL to enhance the accura

Author

Fabian

Language

EN