Software Packages


Classifying Antimicrobial Peptide Selectivity: A Machine Learning Approach to Balancing Antibacterial Activity and Host Toxicity

Najlaa Achoual 2026.
Key Figure

    Classifying antimicrobial peptides into four activity/toxicity classes (Selective, Pure Hemolytic, Both Active/Toxic, Inactive) based on E. coli MIC and erythrocyte HC50 values, using physicochemical descriptors + SVM.

  • GitHub Repository: https://github.com/Mansbach-Lab/peptide-drug-classifier


MUC2 Coarse-Grained Simulations

J. Lavoie 2026.
Key Figure

    Coarse-grained molecular dynamics simulations of MUC2 mucin networks at varying resolutions and concentrations, with pore characterization and rheological analysis pipelines.

  • GitHub Repository: https://github.com/Mansbach-Lab/muc2_simulations


hVAE Mnist demo

D. Perkov 2026.
Key Figure


deeptimeMSMs

R. Mansbach 2024.
Key Figure