Below is a selection of my recent research:
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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)
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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)
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Guerin, N.. New Computational Methods to Predict Cancer Resistance Mutations and Design D-Peptide Therapeutics. Doctoral Dissertation, Duke University (2023). (PDF)
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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)
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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)
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Guerin, N., Kaserer, T. & Donald, B. R. RESISTOR: A new OSPREY module to predict resistance mutations. Journal of Computational Biology (2022). (Link)
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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)
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Guerin, N. (2017). Cross-language news article clustering. Master’s Thesis, Harvard University Extension School. (PDF)