Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
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 …
revolutionize various areas, such as antibody design, drug discovery, food security, ecology …
Hot spots-making directed evolution easier
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 …
proteins. Traditional methods to construct libraries such as error-prone PCR and DNA …
Large language models generate functional protein sequences across diverse families
Deep-learning language models have shown promise in various biotechnological
applications, including protein design and engineering. Here we describe ProGen, a …
applications, including protein design and engineering. Here we describe ProGen, a …
Mega-scale experimental analysis of protein folding stability in biology and design
Advances in DNA sequencing and machine learning are providing insights into protein
sequences and structures on an enormous scale. However, the energetics driving folding …
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 …
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 …
engineering, with applications in drug discovery and enzymatic engineering. Machine …
Learning the language of viral evolution and escape
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 …
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
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 …
engineering of useful enzyme functions, particularly those that are poorly characterized or …
Informed training set design enables efficient machine learning-assisted directed protein evolution
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 …
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
Dynein-decorated doublet microtubules (DMTs) are critical components of the oscillatory
molecular machine of cilia, the axoneme, and have luminal surfaces patterned periodically …
molecular machine of cilia, the axoneme, and have luminal surfaces patterned periodically …