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US 2022/0010302 A1Published application
Addressing nanomedicine complexity through novel high-throughput screening and machine learning
OwnerChad A. Mirkin, Gokay Yamankurt +5inventors
InventorsChad A. Mirkin, Gokay Yamankurt, Milan Mrksich, Eric J. Berns, Neda Bagheri, Albert Xue, Andrew Lee
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Abstract
The present disclosure provides methods for the rapid synthesis of large libraries of spherical nucleid acid (SNA) nanoparticles, their screening for activity, and a machine learning algorithm to analyze the data.
Claims36
A method of screening activity of a library of oligonucleotide-functionalized spherical nucleic acids (SNAs) comprising:
- (a) individually contacting each SNA of the library with a cell, wherein upon contact with the SNA, the cell modulates expression of an enzyme and the amount of enzyme expressed is in proportion to the activity of the SNA;
- (b) contacting the enzyme expressed in step (a) with a substrate under conditions to transform the substrate to a product, wherein the product has a mass different from the substrate;
- (c) immobilizing the product and the substrate on a self-assembled monolayer (SAM) on a surface;
- (d) subjecting the immobilized substrate and product to mass spectrometry to produce a mass spectrum having a product signal and a substrate signal;
- and
- (e) correlating the product signal intensity to the substrate signal intensity to determine the extent of product formation and thereby assay the activity of each SNA.
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Dependencies are inferred from the claim text.