From nature to industry: Harnessing enzymes for biocatalysis

R Buller, S Lutz, RJ Kazlauskas, R Snajdrova… - Science, 2023 - science.org
Biocatalysis harnesses enzymes to make valuable products. This green technology is used
in countless applications from bench scale to industrial production and allows practitioners …

Biomimetic natural biomaterials for tissue engineering and regenerative medicine: new biosynthesis methods, recent advances, and emerging applications

S Liu, JM Yu, YC Gan, XZ Qiu, ZC Gao, H Wang… - Military Medical …, 2023 - Springer
Biomimetic materials have emerged as attractive and competitive alternatives for tissue
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …

Proteingym: Large-scale benchmarks for protein fitness prediction and design

P Notin, A Kollasch, D Ritter… - Advances in …, 2023 - proceedings.neurips.cc
Predicting the effects of mutations in proteins is critical to many applications, from
understanding genetic disease to designing novel proteins to address our most pressing …

Opportunities and challenges in design and optimization of protein function

D Listov, CA Goverde, BE Correia… - … Reviews Molecular Cell …, 2024 - nature.com
The field of protein design has made remarkable progress over the past decade. Historically,
the low reliability of purely structure-based design methods limited their application, but …

Machine learning for functional protein design

P Notin, N Rollins, Y Gal, C Sander, D Marks - Nature biotechnology, 2024 - nature.com
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …

ProtGPT2 is a deep unsupervised language model for protein design

N Ferruz, S Schmidt, B Höcker - Nature communications, 2022 - nature.com
Protein design aims to build novel proteins customized for specific purposes, thereby
holding the potential to tackle many environmental and biomedical problems. Recent …

Learning inverse folding from millions of predicted structures

C Hsu, R Verkuil, J Liu, Z Lin, B Hie… - International …, 2022 - proceedings.mlr.press
We consider the problem of predicting a protein sequence from its backbone atom
coordinates. Machine learning approaches to this problem to date have been limited by the …

Efficient evolution of human antibodies from general protein language models

BL Hie, VR Shanker, D Xu, TUJ Bruun… - Nature …, 2024 - nature.com
Natural evolution must explore a vast landscape of possible sequences for desirable yet
rare mutations, suggesting that learning from natural evolutionary strategies could guide …

Engineered living materials for sustainability

B An, Y Wang, Y Huang, X Wang, Y Liu, D Xun… - Chemical …, 2022 - ACS Publications
Recent advances in synthetic biology and materials science have given rise to a new form of
materials, namely engineered living materials (ELMs), which are composed of living matter …

Opportunities and challenges for machine learning-assisted enzyme engineering

J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …