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Chemputation and the Standardization of Chemical Informatics
[Image: see text] The explosion in the use of machine learning for automated chemical reaction optimization is gathering pace. However, the lack of a standard architecture that connects the concept of chemical transformations universally to software and hardware provides a barrier to using the resul...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549037/ https://www.ncbi.nlm.nih.gov/pubmed/34723260 http://dx.doi.org/10.1021/jacsau.1c00303 |
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author | Hammer, Alexander J. S. Leonov, Artem I. Bell, Nicola L. Cronin, Leroy |
author_facet | Hammer, Alexander J. S. Leonov, Artem I. Bell, Nicola L. Cronin, Leroy |
author_sort | Hammer, Alexander J. S. |
collection | PubMed |
description | [Image: see text] The explosion in the use of machine learning for automated chemical reaction optimization is gathering pace. However, the lack of a standard architecture that connects the concept of chemical transformations universally to software and hardware provides a barrier to using the results of these optimizations and could cause the loss of relevant data and prevent reactions from being reproducible or unexpected findings verifiable or explainable. In this Perspective, we describe how the development of the field of digital chemistry or chemputation, that is the universal code-enabled control of chemical reactions using a standard language and ontology, will remove these barriers allowing users to focus on the chemistry and plug in algorithms according to the problem space to be explored or unit function to be optimized. We describe a standard hardware (the chemical processing programming architecture—the ChemPU) to encompass all chemical synthesis, an approach which unifies all chemistry automation strategies, from solid-phase peptide synthesis, to HTE flow chemistry platforms, while at the same time establishing a publication standard so that researchers can exchange chemical code (χDL) to ensure reproducibility and interoperability. Not only can a vast range of different chemistries be plugged into the hardware, but the ever-expanding developments in software and algorithms can also be accommodated. These technologies, when combined will allow chemistry, or chemputation, to follow computation—that is the running of code across many different types of capable hardware to get the same result every time with a low error rate. |
format | Online Article Text |
id | pubmed-8549037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85490372021-10-28 Chemputation and the Standardization of Chemical Informatics Hammer, Alexander J. S. Leonov, Artem I. Bell, Nicola L. Cronin, Leroy JACS Au [Image: see text] The explosion in the use of machine learning for automated chemical reaction optimization is gathering pace. However, the lack of a standard architecture that connects the concept of chemical transformations universally to software and hardware provides a barrier to using the results of these optimizations and could cause the loss of relevant data and prevent reactions from being reproducible or unexpected findings verifiable or explainable. In this Perspective, we describe how the development of the field of digital chemistry or chemputation, that is the universal code-enabled control of chemical reactions using a standard language and ontology, will remove these barriers allowing users to focus on the chemistry and plug in algorithms according to the problem space to be explored or unit function to be optimized. We describe a standard hardware (the chemical processing programming architecture—the ChemPU) to encompass all chemical synthesis, an approach which unifies all chemistry automation strategies, from solid-phase peptide synthesis, to HTE flow chemistry platforms, while at the same time establishing a publication standard so that researchers can exchange chemical code (χDL) to ensure reproducibility and interoperability. Not only can a vast range of different chemistries be plugged into the hardware, but the ever-expanding developments in software and algorithms can also be accommodated. These technologies, when combined will allow chemistry, or chemputation, to follow computation—that is the running of code across many different types of capable hardware to get the same result every time with a low error rate. American Chemical Society 2021-08-31 /pmc/articles/PMC8549037/ /pubmed/34723260 http://dx.doi.org/10.1021/jacsau.1c00303 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Hammer, Alexander J. S. Leonov, Artem I. Bell, Nicola L. Cronin, Leroy Chemputation and the Standardization of Chemical Informatics |
title | Chemputation and the Standardization of Chemical Informatics |
title_full | Chemputation and the Standardization of Chemical Informatics |
title_fullStr | Chemputation and the Standardization of Chemical Informatics |
title_full_unstemmed | Chemputation and the Standardization of Chemical Informatics |
title_short | Chemputation and the Standardization of Chemical Informatics |
title_sort | chemputation and the standardization of chemical informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549037/ https://www.ncbi.nlm.nih.gov/pubmed/34723260 http://dx.doi.org/10.1021/jacsau.1c00303 |
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