Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models

Y Qiu, GW Wei - Briefings in bioinformatics, 2023 - academic.oup.com
Protein engineering is an emerging field in biotechnology that has the potential to
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …

Hot spots-making directed evolution easier

H Yu, S Ma, Y Li, PA Dalby - Biotechnology Advances, 2022 - Elsevier
Directed evolution has emerged as a powerful strategy to engineer various properties of
proteins. Traditional methods to construct libraries such as error-prone PCR and DNA …

Large language models generate functional protein sequences across diverse families

A Madani, B Krause, ER Greene, S Subramanian… - Nature …, 2023 - nature.com
Deep-learning language models have shown promise in various biotechnological
applications, including protein design and engineering. Here we describe ProGen, a …

Mega-scale experimental analysis of protein folding stability in biology and design

K Tsuboyama, J Dauparas, J Chen, E Laine… - Nature, 2023 - nature.com
Advances in DNA sequencing and machine learning are providing insights into protein
sequences and structures on an enormous scale. However, the energetics driving folding …

Structural basis of NINJ1-mediated plasma membrane rupture in cell death

M Degen, JC Santos, K Pluhackova, G Cebrero… - Nature, 2023 - nature.com
Eukaryotic cells can undergo different forms of programmed cell death, many of which
culminate in plasma membrane rupture as the defining terminal event,,,,,–. Plasma …

Self-play reinforcement learning guides protein engineering

Y Wang, H Tang, L Huang, L Pan, L Yang… - Nature Machine …, 2023 - nature.com
Designing protein sequences towards desired properties is a fundamental goal of protein
engineering, with applications in drug discovery and enzymatic engineering. Machine …

Learning the language of viral evolution and escape

B Hie, ED Zhong, B Berger, B Bryson - Science, 2021 - science.org
The ability for viruses to mutate and evade the human immune system and cause infection,
called viral escape, remains an obstacle to antiviral and vaccine development …

Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering

K Ding, M Chin, Y Zhao, W Huang, BK Mai… - Nature …, 2024 - nature.com
The effective design of combinatorial libraries to balance fitness and diversity facilitates the
engineering of useful enzyme functions, particularly those that are poorly characterized or …

Informed training set design enables efficient machine learning-assisted directed protein evolution

BJ Wittmann, Y Yue, FH Arnold - Cell systems, 2021 - cell.com
Directed evolution of proteins often involves a greedy optimization in which the mutation in
the highest-fitness variant identified in each round of single-site mutagenesis is fixed. The …

De novo identification of mammalian ciliary motility proteins using cryo-EM

M Gui, H Farley, P Anujan, JR Anderson, DW Maxwell… - Cell, 2021 - cell.com
Dynein-decorated doublet microtubules (DMTs) are critical components of the oscillatory
molecular machine of cilia, the axoneme, and have luminal surfaces patterned periodically …