Sony Malhotra

HANSEN: An Integrated Structural and Functional Proteome Resource for Structure-Guided Drug Discovery in Mycobacterium leprae

Web resource offering predicted monomeric and oligomeric structures for 1,603 M. leprae proteins, with pockets, epitope scores, essentiality and a target priority ranking, plus a nanopore resistance-calling module.

DPI-score: A deep learning-based metric for assessing protein-protein interfaces in cryo-EM derived assemblies

The paper introduces DPI-Score, a deep learning metric to assess protein-protein interfaces in cryo-EM structures, showing it can detect interface errors not found by density-based scores.

Stitching genomics data to protein structures: Virulence factors in non-O157 Shiga toxin-producing Escherichia coli

The paper analyzes genetic variation in virulence factors of non-O157 STEC genomes and models their protein interactions to assess pathogenic potential.

Automated filtering of particle images in single particle cryoEM

This paper introduces a deep learning method to improve single particle cryoEM data quality by automatically filtering noisy images using denoising and domain adaptation neural networks.

Assessment of protein-protein interfaces in cryo-EM derived assemblies

The paper introduces PI-score, a machine learning-based metric to assess protein-protein interfaces in cryo-EM-derived assemblies, identifying errors not captured by density-based methods.

Combining Information from Crosslinks and Monolinks in the Modelling of Protein Structures

The paper introduces MoDS, a score for assessing protein structure models using monolink data, and shows combining it with MNXL improves model scoring, supporting the use of monolink data in integrative structure determination.

Computational Saturation Mutagenesis to predict structural consequences of systematic mutations on protein stability and rifampin interactions in the β subunit of RNA polymerase in Mycobacterium leprae

Comparative analyses of metabolic pathways in mycobacteria: Insights into the identification and characterisation of new drug targets in M. tuberculosis, M. leprae and M. abscessus

The paper compares metabolic pathways in three mycobacteria to identify common drug targets and assess their druggability.