Photobiocatalytic strategies for organic synthesis

MA Emmanuel, SG Bender, C Bilodeau… - Chemical …, 2023 - ACS Publications
Biocatalysis has revolutionized chemical synthesis, providing sustainable methods for
preparing various organic molecules. In enzyme-mediated organic synthesis, most reactions …

The road to fully programmable protein catalysis

SL Lovelock, R Crawshaw, S Basler, C Levy, D Baker… - Nature, 2022 - nature.com
The ability to design efficient enzymes from scratch would have a profound effect on
chemistry, biotechnology and medicine. Rapid progress in protein engineering over the past …

De novo design of luciferases using deep learning

AHW Yeh, C Norn, Y Kipnis, D Tischer, SJ Pellock… - Nature, 2023 - nature.com
De novo enzyme design has sought to introduce active sites and substrate-binding pockets
that are predicted to catalyse a reaction of interest into geometrically compatible native …

Scaffolding protein functional sites using deep learning

J Wang, S Lisanza, D Juergens, D Tischer, JL Watson… - Science, 2022 - science.org
The binding and catalytic functions of proteins are generally mediated by a small number of
functional residues held in place by the overall protein structure. Here, we describe deep …

Diffusion probabilistic modeling of protein backbones in 3d for the motif-scaffolding problem

BL Trippe, J Yim, D Tischer, D Baker… - arxiv preprint arxiv …, 2022 - arxiv.org
Construction of a scaffold structure that supports a desired motif, conferring protein function,
shows promise for the design of vaccines and enzymes. But a general solution to this motif …

Directed evolution: methodologies and applications

Y Wang, P Xue, M Cao, T Yu, ST Lane… - Chemical reviews, 2021 - ACS Publications
Directed evolution aims to expedite the natural evolution process of biological molecules
and systems in a test tube through iterative rounds of gene diversifications and library …

Single-sequence protein structure prediction using a language model and deep learning

R Chowdhury, N Bouatta, S Biswas, C Floristean… - Nature …, 2022 - nature.com
AlphaFold2 and related computational systems predict protein structure using deep learning
and co-evolutionary relationships encoded in multiple sequence alignments (MSAs) …

Recent advances in de novo protein design: Principles, methods, and applications

X Pan, T Kortemme - Journal of Biological Chemistry, 2021 - ASBMB
The computational de novo protein design is increasingly applied to address a number of
key challenges in biomedicine and biological engineering. Successes in expanding …

A backbone-centred energy function of neural networks for protein design

B Huang, Y Xu, X Hu, Y Liu, S Liao, J Zhang, C Huang… - Nature, 2022 - nature.com
A protein backbone structure is designable if a substantial number of amino acid sequences
exist that autonomously fold into it,. It has been suggested that the designability of …

Loop dynamics and the evolution of enzyme activity

M Corbella, GP Pinto, SCL Kamerlin - Nature Reviews Chemistry, 2023 - nature.com
In the early 2000s, Tawfik presented his 'New View'on enzyme evolution, highlighting the
role of conformational plasticity in expanding the functional diversity of limited repertoires of …