Methods of chemical computation

Patent metadata

Field	Value
Publication number	US-11790280-B2
Application number	US-202117378988-A
Country	US
Kind code	B2
Filing date	Jul 19, 2021
Priority date	Jun 20, 2018
Publication date	Oct 17, 2023
Grant date	Oct 17, 2023

Abstract

The invention provides methods for computing with chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying chemical structure and/or concentration of at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.

First claim

We claim:

1. An information storage system, comprising a solid surface with a plurality of addressable locations, wherein each addressable location comprises a mixture of small molecules, wherein each mixture contains one set of small molecules per addressable location; wherein the set of small molecules per addressable location comprises a plurality of small molecules; and wherein the plurality comprises at least six molecules.

2. The information storage system of claim 1 , wherein the solid surface is a MALDI plate.

3. The information storage system of claim 1 , wherein the storage system comprises more than 100 kbits of data.

4. An information storage system, comprising a solid surface with a plurality of addressable locations, wherein each addressable location comprises a mixture of small molecules, and each mixture contains one set of small molecules per addressable location, wherein the small molecules are metabolomic elements.

5. An information storage system, comprising a solid surface with a plurality of addressable locations, wherein each addressable location comprises a mixture of small molecules, and each mixture contains one set of small molecules per addressable location, wherein the addressable locations comprise at least 1024 independent mixture spots.

6. An information storage system, comprising a solid surface with a plurality of addressable locations, wherein each addressable location comprises a mixture of small molecules, and each mixture contains one set of small molecules per addressable location, wherein the addressable locations comprise thousands of spatially arrayed nanoliter spots.

7. An information storage system, comprising a solid surface with a plurality of addressable locations, wherein each addressable location comprises a mixture of small molecules, and each mixture contains one set of small molecules per addressable location, wherein the storage system comprises at least a gigabyte of data.

Assignees

• Univ Brown

Inventors

• Rubenstein Brenda
• Rosenstein Jacob Karl
• Arcadia Christopher
• Chen Shui Ling
• Dombroski Amanda Doris
• Geiser Joseph D
• Kennedy Eamonn
• Kim Eunsuk
• Oakley Kady M
• Reda Sherief
• Rose Christopher
• Sello Jason Kelby
• Tann Hokchhay
• Weber Peter

Classifications

• G06N3/09

  Supervised learning · CPC title

• G06N3/0499

  Feedforward networks · CPC title

• G06N99/007 Primary

  Molecular computers, i.e. using inorganic molecules (using biomolecules G06N3/002) · CPC title

• G06N3/06 Primary

  Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons · CPC title

• G06N3/08

  Learning methods · CPC title