Protein modeling and informatics

See how to build a dynamicasome database for an entire gene's pool of missense variants. In the example presented featuring the PMM2 gene, over 1,500 missense variants were generated for protein structures. Then structural dynamics studies were completed to capture pathogenicity predictions, thus allowing sorting and cataloging for a lookup table.

Education and Training

The Drug Discovery, Design and Optimization for Novel Therapeutics Lab works on several hot areas of research for talented postdoctoral researchers and graduate students to pursue, including:

  • In silico methods development and applications for target druggability, accelerated drug discovery and drug modeling
  • In silico wet lab for testing hypotheses with partner labs to aid in focusing their research and eliminating costly experiments by using computational tools to deliver highly focused datasets
  • Developing new and innovated methods in simulations, machine learning and web-based application programming interfaces (APIs) for server-based structural biology

Through collaborations nationally and internationally, the lab offers opportunities to engage in research across many disciplines and the independence to pursue emerging research trends in the field. The lab integrates structural biology, chemistry and computational sciences for acceleration of research, drug discovery, and elucidation of protein and enzymatic behavior in basic sciences research and clinically relevant studies. Talented computational-minded undergraduates, graduates and postdoctoral researchers are encouraged to apply.

Dr. Caulfield's lab at Mayo Clinic's Florida campus is considering applications from students through these Mayo Clinic programs:

View postdoctoral temporary research positions at Mayo Clinic.

Prospective students and fellows should email a cover letter, detailing past experience and current interests, along with a curriculum vitae to:

Thomas Caulfield, Ph.D.