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Toward machine learning-enhanced high-throughput experimentation for chemistry
High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimizat...
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961180/ https://www.ncbi.nlm.nih.gov/pubmed/33748798 http://dx.doi.org/10.1016/j.patter.2021.100221 |
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author | Callaghan, Sarah |
author_facet | Callaghan, Sarah |
author_sort | Callaghan, Sarah |
collection | PubMed |
description | High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimization. |
format | Online Article Text |
id | pubmed-7961180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79611802021-03-19 Toward machine learning-enhanced high-throughput experimentation for chemistry Callaghan, Sarah Patterns (N Y) Preview High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimization. Elsevier 2021-03-12 /pmc/articles/PMC7961180/ /pubmed/33748798 http://dx.doi.org/10.1016/j.patter.2021.100221 Text en © 2021 The Author http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Preview Callaghan, Sarah Toward machine learning-enhanced high-throughput experimentation for chemistry |
title | Toward machine learning-enhanced high-throughput experimentation for chemistry |
title_full | Toward machine learning-enhanced high-throughput experimentation for chemistry |
title_fullStr | Toward machine learning-enhanced high-throughput experimentation for chemistry |
title_full_unstemmed | Toward machine learning-enhanced high-throughput experimentation for chemistry |
title_short | Toward machine learning-enhanced high-throughput experimentation for chemistry |
title_sort | toward machine learning-enhanced high-throughput experimentation for chemistry |
topic | Preview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961180/ https://www.ncbi.nlm.nih.gov/pubmed/33748798 http://dx.doi.org/10.1016/j.patter.2021.100221 |
work_keys_str_mv | AT callaghansarah towardmachinelearningenhancedhighthroughputexperimentationforchemistry |