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.
- 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
- Senior Investigator, OICR
- Professor, Faculty of Health Sciences, Queen’s University
- Canada Research Chair, Tier I
- Brown AL, Li M, Goncearenco A, Panchenko AR. Finding driver mutations in cancer: Elucidating the role of background mutational processes. PLoS Comput Biol. 2019; 15(4):e1006981.
- Shaytan AK, Xiao H, Armeev GA, …, Panchenko AR. Structural interpretation of DNA-protein hydroxyl-radical footprinting experiments with high resolution using HYDROID. Nat Protoc. 2018; 13(11):2535-2556.
- Goncearenco A, Rager SL, Li M, …, Panchenko AR. Exploring background mutational processes to decipher cancer genetic heterogeneity. Nucleic Acids Res. 2017; 45(W1):W514-W522.
- Li M, Kales SC, Ma K, …, Panchenko AR. Balancing Protein Stability and Activity in Cancer: A New Approach for Identifying Driver Mutations Affecting CBL Ubiquitin Ligase Activation. Cancer Res. 2016; 76(3):561-71.
- Li M, Simonetti F, Panchenko AR. MutaBind estimates and interprets the effects of sequence variants on protein-protein interactions. Nucleic Acids Res. 2016; 44(W1):W494-501.
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.
- Associate Editor, PloS Computational Biology
- Editor, Journal of Molecular Biology