Below is a selection of my recent research:

  1. Childs H., Guerin N., Zhou P., Donald B.R. Protocol for Designing De Novo Noncanonical Peptide Binders in OSPREY. Journal of Computational Biology (2024) (Link)

  2. Guerin, N., Childs, H., Zhou, P. & Donald, B. R. DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitors. Protein Engineering, Design and Selection, Volume 37, (2024). (Link)

  3. Guerin, N.. New Computational Methods to Predict Cancer Resistance Mutations and Design D-Peptide Therapeutics. Doctoral Dissertation, Duke University (2023). (PDF)

  4. Guerin, N., Kaserer, T. & Donald, B. R. Protocol for predicting drug-resistant protein mutations to an ERK2 inhibitor using RESISTOR. STAR Protocols 4, 102170 (2023). (Link)

  5. Kugler, V., Lieb, A., Guerin, N., Donald, B. R., Stefan, E. & Kaserer, T. Disruptor: Computational identification of oncogenic mutants disrupting protein-protein and protein-DNA interactions. Communications Biology, 6, 1-6 (2023). (Link)

  6. Guerin, N., Kaserer, T. & Donald, B. R. RESISTOR: A new OSPREY module to predict resistance mutations. Journal of Computational Biology (2022). (Link)

  7. Guerin, N., Feichtner, A., Stefan, E., Kaserer, T. & Donald, B. R. Resistor: an algorithm for predicting resistance mutations via Pareto optimization over multistate protein design and mutational signatures. Cell Systems 13, 830-843.e3 (2022). (Link)

  8. Guerin, N. (2017). Cross-language news article clustering. Master’s Thesis, Harvard University Extension School. (PDF)