Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Lynch syndrome, molecular mechanisms and variant classification
Patients with the heritable cancer disease, Lynch syndrome, carry germline variants in the
MLH1, MSH2, MSH6 and PMS2 genes, encoding the central components of the DNA …
MLH1, MSH2, MSH6 and PMS2 genes, encoding the central components of the DNA …
Proteingym: Large-scale benchmarks for protein fitness prediction and design
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 …
understanding genetic disease to designing novel proteins to address our most pressing …
Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics
INTRODUCTION Enzymes possess extraordinary catalytic proficiency and specificity. These
properties ultimately derive from interactions not just between the active-site residues and …
properties ultimately derive from interactions not just between the active-site residues and …
Proteinnpt: Improving protein property prediction and design with non-parametric transformers
Protein design holds immense potential for optimizing naturally occurring proteins, with
broad applications in drug discovery, material design, and sustainability. However …
broad applications in drug discovery, material design, and sustainability. However …
A rugged yet easily navigable fitness landscape
Fitness landscape theory predicts that rugged landscapes with multiple peaks impair
Darwinian evolution, but experimental evidence is limited. In this study, we used genome …
Darwinian evolution, but experimental evidence is limited. In this study, we used genome …
[HTML][HTML] Proteingym: Large-scale benchmarks for protein design and fitness prediction
Predicting the effects of mutations in proteins is critical to many applications, from
understanding genetic disease to designing novel proteins that can address our most …
understanding genetic disease to designing novel proteins that can address our most …
Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning
Throughout evolution, protein families undergo substantial sequence divergence while
preserving structure and function. Although most mutations are deleterious, evolution can …
preserving structure and function. Although most mutations are deleterious, evolution can …
Viral evolution shaped by host proteostasis networks
J Yoon, JE Patrick, CB Ogbunugafor… - Annual Review of …, 2023 - annualreviews.org
Understanding the factors that shape viral evolution is critical for developing effective
antiviral strategies, accurately predicting viral evolution, and preventing pandemics. One …
antiviral strategies, accurately predicting viral evolution, and preventing pandemics. One …
Molecular determinants of Hsp90 dependence of Src kinase revealed by deep mutational scanning
V Nguyen, E Ahler, KA Sitko, JJ Stephany… - Protein …, 2023 - Wiley Online Library
Hsp90 is a molecular chaperone involved in the refolding and activation of numerous
protein substrates referred to as clients. While the molecular determinants of Hsp90 client …
protein substrates referred to as clients. While the molecular determinants of Hsp90 client …