M. Madan Babu

The paper develops a machine learning model to predict IDR condensation behavior, finding ~12% of human IDRs likely form condensates, enriched in RNA-related and membrane-less organelle functions.

AlphaSync provides updated AlphaFold structure models for 39,961 UniProt proteins and enhances 2.6 million structures with residue-level features.

The paper introduces a platform to characterize GPCR expression and uses machine learning to identify structural features affecting their biosynthesis.

The paper shows that early arginine methylation of KCa3.1 limits Ca2+-mediated NFAT1 activation, preventing T cell exhaustion during activation.

The paper investigates how protein conformational dynamics reveal hidden post-translational modification sites and their functional relevance across timescales.

The paper identifies glycerophospholipid biosynthesis upregulation as a mechanism of chemoresistance in SLFN11-loss Ewing sarcoma and shows that inhibiting this pathway enhances DNA-damaging agent efficacy.

The paper identifies differences in mtDNA mutation accumulation and selective pressures in pediatric leukemias using bulk and single-cell sequencing, linking these to functional heterogeneity among leukemic cells.

This study uses deep mutational scanning to analyze GPCR variants, identifying key residues for signaling and function across multiple GPCR classes.

The paper identifies a universal activation mechanism for class A GPCRs by analyzing high-resolution structures, linking ligand binding to G protein coupling through TM6 movement.

The paper quantifies the fitness costs and benefits of protein deposit formation via phase separation in yeast, showing environmental and functional demands influence fitness outcomes and generate phenotypic variability.

The paper reports cryo-EM and crystal structures of GABAA receptors with ligands, revealing the molecular basis of BZD modulation.