Opportunities and challenges for machine learning-assisted enzyme engineering
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 …
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …
Modern microbiology: Embracing complexity through integration across scales
Microbes were the only form of life on Earth for most of its history, and they still account for
the vast majority of life's diversity. They convert rocks to soil, produce much of the oxygen we …
the vast majority of life's diversity. They convert rocks to soil, produce much of the oxygen we …
Fine-tuning protein language models boosts predictions across diverse tasks
Prediction methods inputting embeddings from protein language models have reached or
even surpassed state-of-the-art performance on many protein prediction tasks. In natural …
even surpassed state-of-the-art performance on many protein prediction tasks. In natural …
A combinatorially complete epistatic fitness landscape in an enzyme active site
Protein engineering often targets binding pockets or active sites which are enriched in
epistasis—nonadditive interactions between amino acid substitutions—and where the …
epistasis—nonadditive interactions between amino acid substitutions—and where the …
The genetic architecture of protein stability
There are more ways to synthesize a 100-amino acid (aa) protein (20100) than there are
atoms in the universe. Only a very small fraction of such a vast sequence space can ever be …
atoms in the universe. Only a very small fraction of such a vast sequence space can ever be …
MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational scanning data
We present MoCHI, a tool to fit interpretable models using deep mutational scanning data.
MoCHI infers free energy changes, as well as interaction terms (energetic couplings) for …
MoCHI infers free energy changes, as well as interaction terms (energetic couplings) for …
Epistasis facilitates functional evolution in an ancient transcription factor
A protein's genetic architecture–the set of causal rules by which its sequence produces its
functions–also determines its possible evolutionary trajectories. Prior research has …
functions–also determines its possible evolutionary trajectories. Prior research has …
Rationalizing diverse binding mechanisms to the same protein fold: insights for ligand recognition and biosensor design
AC Leonard, AJ Friedman, R Chayer… - ACS Chemical …, 2024 - ACS Publications
The engineering of novel protein–ligand binding interactions, particularly for complex drug-
like molecules, is an unsolved problem, which could enable many practical applications of …
like molecules, is an unsolved problem, which could enable many practical applications of …
Cryptic genetic variation shapes the fate of gene duplicates in a protein interaction network
Paralogous genes are often functionally redundant for long periods of time. While their
functions are preserved, paralogs accumulate cryptic changes in sequence and expression …
functions are preserved, paralogs accumulate cryptic changes in sequence and expression …
An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries
Antibodies are engineerable quantities in medicine. Learning antibody molecular
recognition would enable the in silico design of high affinity binders against nearly any …
recognition would enable the in silico design of high affinity binders against nearly any …