PINNED: identifying characteristics of druggable human proteins using an interpretable neural network

PINNED: identifying characteristics of druggable human proteins using an interpretable neural network

Abstract The identification of human proteins that are amenable to pharmacologic modulation without significant off-target effects remains an important unsolved challenge. Computational methods have been devised to identify features which distinguish between “druggable” and “undruggable” proteins, f...

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Bibliographic Details
Main Authors: Michael Cunningham, Danielle Pins, Zoltán Dezső, Maricel Torrent, Aparna Vasanthakumar, Abhishek Pandey
Format: Article
Language:English
Published: BMC 2023-07-01
Series:Journal of Cheminformatics
Subjects:
Protein
Druggability
Machine learning
Neural network
Interpretable
AlphaFold
Online Access:https://doi.org/10.1186/s13321-023-00735-7

Internet

https://doi.org/10.1186/s13321-023-00735-7

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