A Deep-Learning Proteomic-Scale Approach for Drug Design

A Deep-Learning Proteomic-Scale Approach for Drug Design

Computational approaches have accelerated novel therapeutic discovery in recent decades. The Computational Analysis of Novel Drug Opportunities (CANDO) platform for shotgun multitarget therapeutic discovery, repurposing, and design aims to improve their efficacy and safety by employing a holistic ap...

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Bibliographic Details
Main Authors: Brennan Overhoff, Zackary Falls, William Mangione, Ram Samudrala
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Pharmaceuticals
Subjects:
computational drug design
deep learning
multiscale
polypharmacology
autoencoder
docking
Online Access:https://www.mdpi.com/1424-8247/14/12/1277

Internet

https://www.mdpi.com/1424-8247/14/12/1277

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