Ramanathan Sowdhamini

This study shows Syntaxin11 primes Orai1 for CRAC channel function, affecting T cell cytotoxicity and gene expression without impacting membrane trafficking.

This study models actin-tropomyosin interfaces using computational docking to analyze how filament length and isoform identity affect actin affinity across species.

This study designs a novel FLT3 inhibitor with improved binding stability and potency through molecular docking, modification, and simulation.

HORI-EN identifies cooperative stabilization networks in protein structures by integrating atomic-level energetic scoring with higher-order graph-theoretic analysis, showing improved performance in predicting mutational hotspots.

The paper compares structural networks of remote homologous protein domains from different architectures to assess how domain combinations influence structural and evolutionary changes.

CAcnesDB provides a comprehensive database of Cutibacterium acnes genome with integrated functional annotations derived from multi-modal genome analysis.

This study identifies SIRT2 as a regulator of stress-induced skeletal muscle atrophy by inhibiting glucocorticoid receptor signaling, showing protective effects in mice.

This study identifies PIP4K as a conserved enzyme in early metazoans that regulates growth and development through insulin receptor signaling.

GenDiS3 provides a census of protein domain superfamilies' prevalence across sequence databases, using computational tools to link sequences to known structures and explore evolutionary and functional diversity.

The paper curates and classifies S9 family proteases from bacterial genomes into a database with statistical and phylogenetic analysis.

The paper identifies and classifies ~53,000 bacterial S9 family proteins, revealing subfamily distinctions and substrate specificity differences.

This study identifies Ternstroside D as a potential dual inhibitor for IDH1/2 mutations in AML through in-silico screening and simulations.

This study identifies secondary shell hotspots in protein-protein complexes, showing they are evolutionarily conserved and crucial for stability and activity.

The paper analyzes the sequence and structural features of TLR4 adaptors to understand their evolutionary development and functional roles across species.

This study uses computational methods to analyze how RbpA affects RNA polymerase assembly dynamics in Mycobacterium tuberculosis, identifying structural changes and potential ligands for drug development.

The paper evaluates two methods for identifying interface residues in protein-protein complexes and shows they identify different residues with distinct properties and roles.

This study identifies perturbations in arachidonic acid metabolism across primary cardiomyopathies using RNA-seq data and gene set analysis.

The paper identifies tissue-specific and geographically variable olfactory receptor expression in the fig wasp Ceratosolen fusciceps, suggesting novel roles for ORs beyond the antennae.

This study investigates the structural and functional effects of missense mutations in MTM1, a gene linked to X-linked myotubular myopathy, using computational and experimental approaches.

The paper identifies candidate genes for cardiomyopathies by integrating network analysis and disease associations, highlighting key genes like NOS3, MMP2, and SIRT1.

This study uses in-silico mutagenesis and molecular dynamics to analyze the impact of mutations on CSRP3 LIM domain stability and evolution.

This paper presents the first draft genome sequence of Crocus sativus, identifying genes and pathways related to saffron's bioactive compounds.

The paper identifies and annotates odorant binding proteins in the dwarf honey bee Apis florea and suggests divergence between Minus-C and Classic OBP subfamilies.

This study identifies DDX24 as essential for planarian head regeneration by regulating muscle organization, pole specification, and Wnt signaling.

InsectOR is a web server that accurately predicts insect olfactory receptor genes from non-model genomes, outperforming existing annotation tools.

DEELIG predicts protein-ligand binding affinity using deep learning without requiring docked poses or complexes as input.

The paper characterizes buffalo nasal epithelial odorant binding proteins (OBPs), identifies key residues involved in pheromone binding, and validates their function through in-silico and biochemical methods.

The paper identifies spatially regionalized mRNA expression in Drosophila melanogaster flight muscle syncytia, revealing non-uniform protein requirements along their length.

The paper describes a machine intelligence competition aimed at improving 3D domain swapping prediction, resulting in enhanced predictive modeling through crowdsourced solutions.

EcRBPome compiles RNA-binding proteins from 166 E. coli proteomes, providing domain architectures, annotations, and cross-strain comparisons.