Deep generative models for peptide design

Wan, Fangping; Kontogiorgos-Heintz, Daphne; de la Fuente-Nunez, Cesar

Deep generative models for peptide design

Download

Name

d1dd00024a.pdf

Description

Published version

Size

586.93 KB

Format

Adobe PDF

Checksum (MD5)

a5d562caa2925453fa6e1ceb3e97cbe4

sword-2022-10-28T18:39:14.original.xml (130 B)

Original SWORD entry document

Author(s)

Wan, Fangping

•

Kontogiorgos-Heintz, Daphne

•

de la Fuente-Nunez, Cesar

Date Issued

2022

Journal

Digital Discovery

Publisher

Royal Society of Chemistry (RSC)

Citation

Wan, Fangping, Kontogiorgos-Heintz, Daphne and de la Fuente-Nunez, Cesar. 2022. "Deep generative models for peptide design." Digital Discovery, 1 (3).

Version

Final published version

Abstract

We present a review of deep generative models and their applications in peptide design.

Terms of Use

Creative Commons Attribution 3.0 unported license

https://creativecommons.org/licenses/by/3.0/

Persistent DSpace Link

https://hdl.handle.net/1721.1/146045

DOI of Published Version

https://doi.org/10.1039/D1DD00024A