Beyond evolution: De novo designed protein toolkit rewriting the rules of synthetic biology
Authors:
- Guohao ZhangGZGuohao Zhang
- Chuanyang LiuCLChuanyang Liu
- Wenying LiWLWenying Li
- Jiajie LuJLJiajie Lu
- Ang LiALAng Li
- Lingyun ZhuLZLingyun Zhu
Open Access
- 13 September 2025
- journal article
- Published by Elsevier in Biosafety and Health
- Vol. 7 (5) , 306-311
Abstract
No abstract availableKeywords
Funding Information
- National University of Defense Technology (22-TDRCJH-02-015)
This publication has 44 references indexed in Scilit:
- Rational multienzyme architecture design with iMARSCell, 2025
- Advances in designed bionanomolecular assemblies for biotechnological and biomedical applicationsCurrent Opinion in Biotechnology, 2025
- De novo protein design—From new structures to programmable functionsCell, 2024
- Targeted protein degradation in mammalian cells: A promising avenue toward futureComputational and Structural Biotechnology Journal, 2022
- Mini-review: Recent advances in post-translational modification site prediction based on deep learningComputational and Structural Biotechnology Journal, 2022
- Protein sequence design with deep generative modelsCurrent Opinion in Chemical Biology, 2021
- Machine learning in protein structure predictionCurrent Opinion in Chemical Biology, 2021
- Deep Learning in Protein Structural Modeling and DesignPatterns, 2020
- Hierarchical design of artificial proteins and complexes toward synthetic structural biologyBiophysical Reviews, 2017
- A Whole-Cell Computational Model Predicts Phenotype from GenotypeCell, 2012