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Polymer design <i>via</i> SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery

Rishad J. Dalal, Felipe Oviedo, Michael C. Leyden, Theresa M. Reineke

2024Chemical Science31 citationsDOIOpen Access PDF

Abstract

, and a 1.7-fold enhancement over controls. Our facile coupling of synthesis, characterization, and machine analysis provides powerful tools to quantitate performance parameters accelerating next-generation vehicles for nucleic acid medicines.

Topics & Concepts

CRISPRRibonucleoproteinBayesian probabilityComputer scienceBayesian optimizationComputational biologyChemistryNanotechnologyArtificial intelligenceCombinatorial chemistryMaterials scienceBiologyBiochemistryGeneRNAInnovative Microfluidic and Catalytic Techniques InnovationMachine Learning in Materials ScienceRNA Interference and Gene Delivery
Polymer design <i>via</i> SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery | Litcius