Prospective de novo drug design with deep interactome learning

Prospective de novo drug design with deep interactome learning

Abstract De novo drug design aims to generate molecules from scratch that possess specific chemical and pharmacological properties. We present a computational approach utilizing interactome-based deep learning for ligand- and structure-based generation of drug-like molecules. This method capitalizes...

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Bibliographic Details
Main Authors: Kenneth Atz, Leandro Cotos, Clemens Isert, Maria Håkansson, Dorota Focht, Mattis Hilleke, David F. Nippa, Michael Iff, Jann Ledergerber, Carl C. G. Schiebroek, Valentina Romeo, Jan A. Hiss, Daniel Merk, Petra Schneider, Bernd Kuhn, Uwe Grether, Gisbert Schneider
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-47613-w
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