AI-based protein & interaction analysis
Structure prediction, binding and interaction modeling, and embedding-based analysis of protein function using current foundation models.
Vaske Genomics is a computational biology consultancy led by Charles Vaske, PhD. We combine twenty years of experience turning sequencing data into decisions, from academic discovery through FDA-cleared diagnostics, with a network of bioinformaticians, cloud engineers, and visualization specialists staffed to each engagement.
For academic labs, biotech and pharma teams, and clinical laboratories. Hourly or project-based, with teams sized to the work.
Structure prediction, binding and interaction modeling, and embedding-based analysis of protein function using current foundation models.
Machine-learning models for compound property prediction, virtual screening, and target–ligand prioritization.
Germline and somatic pipelines, FFPE-aware, with curated annotation and IGV-ready outputs.
Expression, methylation, copy number, and protein abundance combined on top of pathway priors. Paradigm-style modeling on request.
Analytical validation studies, accuracy reports, and submission-ready documentation for CLIA, NYS, and FDA pathways.
Independent review of pipelines, papers, or vendor claims for academic, biotech, and investor clients.