Work

Deep learning for molecular design—a review of the state of the art

Year: 2019

Type: article

Abstract: We review a recent groundswell of work which uses deep learning techniques to generate and optimize molecules.

Source: Molecular Systems Design & Engineering

DOI: 10.1039/c9me00039a

Authors: Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung

Institutions: University of Maryland, College Park, American University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Office of Naval Research

Award: G2207118337

OpenAlex ID: W2945551948

FWCI: 58.5

Cites: 190

Cited by: 683

Related to: 10