Dr. Anna Panchenko
Dr. Anna Panchenko
Contact
Dr. Anna Panchenko
Senior Investigator

anna.panchenko@queensu.ca

Senior Investigator

Dr. Anna Panchenko’s research group studies the genetic and epigenetic mechanisms of cancer, including the effects of mutations on protein activity, interactions and dynamics. To do so, her group designs new computational methods and algorithms that involve machine learning, molecular modeling and molecular dynamics simulations. Dr. Panchenko is particularly interested in discovering cancer-driving mutations with computational and hybrid approaches so that we can better understand – and potentially stop – the causes of cancer progression. Dr. Panchenko is a Professor in the Faculty of Health Sciences at Queen’s University and an OICR Senior Investigator. She holds a Tier I Canada Research Chair.

Experience & Education
  • Lead Scientist, National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH)
  • Associate Investigator, NCBI, NIH
  • Staff Scientist, NCBI, NIH
  • Associate Professor Lecturer, Johns Hopkins University
  • Associate Professor Lecturer, George Washington University
  • Intramural Research Training Award Fellow, NCBI, NIH
  • Postdoctoral Fellow, University of Illinois at Urbana-Champaign
  • PhD, Lomonosov Moscow State University
Current Affiliations
  • Senior Investigator, OICR
  • Professor, Faculty of Health Sciences, Queen’s University
  • Canada Research Chair, Tier I
Select Publications

See Dr. Panchenko’s recent publications on PubMed or on Google Scholar.

Research Areas
Biology Cancer Origins Informatics and Data Standards
Disease Areas
All
Opportunities to Collaborate

If interested in collaborating with Dr. Panchenko, please contact her directly.

Visit OICR’s Collaborative Research Resources directory for more opportunities to collaborate with OICR researchers.

Tools
  • HYDROID: Hydroxyl-radical footprint gel electrophoresis image analysis and interpretation
  • MutaGene: Identifies and explores context-dependent mutational processes in cancer
  • MutaBind: Estimates effects of sequence variants on protein interactions
Editorial Boards
  • Associate Editor, PloS Computational Biology
  • Editor, Journal of Molecular Biology