Deep learning for metabolic pathway design-Reference-Cited by-同舟云学术

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Deep learning for metabolic pathway design

Published:2023-11 Issue: Volume:80 Page:130-141
ISSN:1096-7176
Container-title:Metabolic Engineering
language:en
Short-container-title:Metabolic Engineering

Author:

Ryu Gahyeon,Kim Gi Bae,Yu Taeho,Lee Sang Yup^ORCID

Funder

National Research Foundation of Korea

Korea Advanced Institute of Science and Technology

Ministry of Science, ICT and Future Planning

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Reference123 articles.

1. Enhanced succinic acid production by Mannheimia employing optimal malate dehydrogenase;Ahn;Nat. Commun.,2020

2. Rhea-a manually curated resource of biochemical reactions;Alcántara;Nucleic Acids Res.,2012

3. Recent advances in the study of enzyme promiscuity in the tautomerase superfamily;Baas;Chembiochem,2013

4. Synergy between expert and machine learning approaches allows for improved retrosynthetic planning;Badowski;Angew Chem. Int. Ed. Engl.,2020

5. Accurate prediction of protein structures and interactions using a three-track neural network;Baek;Science,2021

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