Mohammad Mazharul Islam

FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

Model-driven characterization of functional diversity of Pseudomonas aeruginosa clinical isolates with broadly representative phenotypes

The paper characterizes the functional metabolic diversity of Pseudomonas aeruginosa clinical isolates by analyzing genotype-phenotype correlations and genome-scale metabolic networks.

Exploring the metabolic landscape of pancreatic ductal adenocarcinoma cells using genome-scale metabolic modeling

This study uses genome-scale metabolic modeling with patient transcriptomic data to identify metabolic vulnerabilities in PDAC and suggest potential therapeutic targets and drug combinations.

Investigation of microbial community interactions between lake Washington methanotrophs using genome-scale metabolic modeling

The paper develops genome-scale metabolic models of methanotrophs from Lake Washington to study their interactions and metabolic responses under different environmental conditions.

Metabolic Modeling Elucidates the Transactions in the Rumen Microbiome and the Shifts upon Virome Interactions

The paper uses genome-scale metabolic modeling to analyze interactions between rumen microbes and phages, revealing how viral genes influence microbial metabolism and community dynamics.

An integrated computational and experimental study to elucidate Staphylococcus aureus metabolism

This study integrates computational modeling and experimental validation to refine a genome-scale metabolic model of S. aureus, improving its accuracy in predicting gene essentiality and metabolic capabilities.