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
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