Faruck Morcos

This paper introduces a structure-aware generative framework that integrates geometric encoding and coevolutionary constraints to map, cluster, and design protein sequences, improving homology detection and structure-guided sequence generation.

This study identifies DrmA, a DUF998 family protein, as a regulator of cationic glycolipid levels and a contributor to high-level daptomycin resistance in E. faecalis.

This study compares structural variations in BRCA1/BARD1 orthologs across species to show how a structural loop affects ubiquitylation site selection and chromatin regulation.

The paper determines cryo-EM structures of Arabidopsis thaliana Augmin, revealing its coiled-coil assembly, antiparallel dimerization, and NEDD1 binding mechanisms.

This study constructs a comprehensive mutant library of TEM-1 beta-lactamase and shows that higher-order epistasis drives unpredictable evolution of antibiotic resistance to novel substrates.

The paper designs artificial multidomain transmembrane transporters using a combined generative landscape and molecular dynamics approach, achieving native-like functionality.

This study uses deep learning and coevolutionary analysis to explore how sequence variation and structural dynamics influence thermal adaptation in cytosolic malate dehydrogenase.

The paper uses sequence data and machine learning to identify novel substrates and lipid products of MprF in bacteria.

The paper engineers an improved fluorescent chloride sensor using directed evolution and coevolutionary analysis in E. coli.

This study uses a co-evolutionary landscape to select mutations in bacterial signaling proteins, showing improved efficiency in enhancing phosphotransfer activity compared to random mutagenesis.

The paper constructs a Potts model to predict how mutations affect TCS protein interactions and validates it against experimental data on PhoQ kinase variants.