首页|Patent Application Titled "Systems And Methods Of Validating New Affinity Reagen ts" Published Online (USPTO 20240087679)

Patent Application Titled "Systems And Methods Of Validating New Affinity Reagen ts" Published Online (USPTO 20240087679)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors EGERTSON, Jarrett D. (Rancho Palos Verdes, CA, US); MALLICK, Parag (San Ma teo, CA, US), filed on September 7, 2023, was made available online on March 14, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Current techniques for protein identification typically rely upon either the binding and subsequent readout of highly specific and sensitive affinity reagents (such as antibodies) or upon peptide-read data (typically on t he order of 12-30 amino acids long) from a mass spectrometer. Such techniques ma y be applied to unknown proteins in a sample to determine the presence, absence, or quantity of candidate proteins based on analysis of binding measurements of the highly specific and sensitive affinity reagents to the protein of interest." In addition to obtaining background information on this patent application, News Rx editors also obtained the inventors' summary information for this patent appl ication: "The present disclosure provides method and system for analyzing, measu ring and validating new affinity reagents. This may occur while decoding a prote omic array. An aspect of the present disclosure provides a method of identifying binding characteristics of a spectrum of test affinity reagents, such as affini ty reagents that are partially characterized or completely unknown. The method m ay also include observing which proteins are not bound by the affinity reagent. The method comprises providing a substrate with a plurality of attached proteins corresponding to a portion of a proteome.

Amino AcidsCyborgsEmerging Technolog iesMachine LearningPatent ApplicationPeptidesPeptides and ProteinsProt einsProteome

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.2)