Computational evolutionary approaches

Summary
We are developing an integrated computational evolutionary framework that will bring together: 1) molecular evolution and phylogeny; and 2) comparative genomics/pangenomics to study any pathogen-group or protein family, and discover distinctive protein/genomic features relevant to biological comparisons of interest (such as identifying diagnostic or candidate vaccine targets in emerging, poorly characterized pathogens).
Team
Students
Current
- Joe Burke
- Elliot Majlessi
- Vignesh Sridhar
- Ethan Wolfe
Alumni
- Samuel Chen
- Lo Sosinski
- Karn Jongnarangsin
- Lauryn Brooks
Collaborators
- Neal Hammer, MSU (Staphylococci)
- Srinand Sreevatsan, Robert Abramovitch, and Andrew Olive (MSU), Christina Stallings, WUSTL (Mycobacteria)
- Antonella Fioravanti, VUB Brussels (B. anthracis)
- Chris Waters, MSU (Vibrio)
- Jonathan Hardy, MSU (Listeria)
- Stephanie Shames, KSU (Legionella)
- Priya Shah, UCD (Flaviviruses)
- Sean Crosson, MSU (Brucella, Caulobacter)

Janani Ravi
Assistant Professor
My research interests include computational pathogenomics and host-directed drug-repurposing.
Related
- Bacterial Stress Response
- Phage-shock-protein (Psp) Envelope Stress Response: Evolutionary History & Discovery of Novel Players
- Computational evolutionary approaches for understanding pathogen proteins and genomes
- Phylogenetics & Comparative Genomics | MMG801
- Computational evolutionary approaches to characterize bacterial proteins
Publications
DciA Helicase Operators Exhibit Diversity across Bacterial Phyla
Novel Internalin P homologs in Listeria ivanovii londoniensis and Listeria seeligeri
MolEvolvR: a web-app for characterizing proteins using molecular evolution and phylogeny
The glutathione import system satisfies the Staphylococcus aureus nutrient sulfur requirement and promotes interspecies competition
Discovery of a predominant and distinct lineage of Mycobacterium tuberculosis in Brazilian indigenous population
Talks
MolEvolvR BTS: When and how to build a web-app and software package?
We recently developed a web application, MolEvolvR, to characterize proteins using molecular evolution and phylogeny. This session will …
Cross-database integration using evolution and machine learning to identify multiscale molecular building blocks for antibiotic resistance
Computational approaches to study molecular pathogenesis and intervention of infectious diseases
MolEvolvR: A webapp for characterizing proteins using molecular evolution and phylogeny
MolEvolvR: Web-app and R-package for characterizing proteins using molecular evolution and phylogeny
Using a computational molecular evolution and phylogeny to study pathogenic proteins
MolEvolvR: a web-app for molecular evolution and phylogeny
We will discuss the alpha version of their new easy-to-use interactive webapp: MolEvolvR, for characterizing proteins using molecular …