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Nature|November 9, 2018
Predictable and precise template-free CRISPR editing of pathogenic variantsMax W Shen, Mandana Arbab, Jonathan Y Hsu, et al.Nature Biotechnology|February 12, 2020
Continuous evolution of SpCas9 variants compatible with non-G PAMsShannon M Miller, Tina Wang, Peyton B Randolph, et al.Nature Communications|February 16, 2021
PrimeDesign software for rapid and simplified design of prime editing guide RNAsJonathan Y Hsu, Julian Grünewald, Regan Szalay, et al.Nature Biotechnology|June 29, 2021
Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learningLuke W Koblan, Mandana Arbab, Max W Shen, et al.Science (New York, N.Y.)|March 30, 2023
Base editing rescue of spinal muscular atrophy in cells and in miceMandana Arbab, Zaneta Matuszek, Kaitlyn M Kray, et al.Biorxiv : the Preprint Server for Biology|February 27, 2026
Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomesAlvin Hsu, Peter J Chen, Angus H Li, et al.Pageof 2