Kalai Mathee

EMoMiS identifies molecular mimicry between SARS-CoV-2 proteins and viral/human proteins, offering insights into cross-protection and side effects.

The paper introduces METALICA, a tool for causal inference in microbiome data, to uncover interactions and confounders in longitudinal multi-omic datasets.

Epitopedia identifies regions of molecular mimicry between pathogens and immune epitopes by analyzing structural similarity and sequence identity.

The paper identifies molecular mimicry between SARS-CoV-2 Spike and human proteins that may contribute to autoimmune responses in COVID-19.

This paper introduces a multi-run Concrete Autoencoder (mrCAE) to identify prognostic lncRNAs across 12 cancers, achieving 95% accuracy in cancer classification and identifying 76 prognostic lncRNAs.

The paper introduces a computational pipeline, PALM, that integrates multi-omics time-series microbiome data using dynamic Bayesian networks to identify microbial and host interactions.

The paper compares PLS-DA and PCA for feature selection using synthetic and microbiome data, showing PCA can outperform PLS-DA in some cases.

This paper introduces a signed Bayesian Network (sBN) to infer directional relationships in microbial communities using abundance data, finding that directed edges correlate with colonization order.

The paper introduces a method to analyze microbiome antibiotic response using replication rates and causal inference, finding microbes reduce replication under beta-lactams and specific resistance genes enable dominance.

This paper applies causal inference techniques to microbiome data to study antibiotic resistance, introducing a novel pipeline for predicting interventional effects without controlled experiments.

This study evaluates phage efficacy against Pseudomonas aeruginosa biofilms, finding that 69% of isolates are sensitive to six phages, but higher phage volumes are needed to eradicate preformed biofilms than prevent biofilm formation.

This study investigates the role of L-serine deaminases SdaA and SdaB in Pseudomonas aeruginosa, showing their contribution to serine utilization and virulence.