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The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens
IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic op...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244889/ https://www.ncbi.nlm.nih.gov/pubmed/35773329 http://dx.doi.org/10.1038/s41746-022-00627-4 |
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author | Blasiak, Agata Truong, Anh T. L. Remus, Alexandria Hooi, Lissa Seah, Shirley Gek Kheng Wang, Peter Chye, De Hoe Lim, Angeline Pei Chiew Ng, Kim Tien Teo, Swee Teng Tan, Yee-Joo Allen, David Michael Chai, Louis Yi Ann Chng, Wee Joo Lin, Raymond T. P. Lye, David C. B. Wong, John Eu-Li Tan, Gek-Yen Gladys Chan, Conrad En Zuo Chow, Edward Kai-Hua Ho, Dean |
author_facet | Blasiak, Agata Truong, Anh T. L. Remus, Alexandria Hooi, Lissa Seah, Shirley Gek Kheng Wang, Peter Chye, De Hoe Lim, Angeline Pei Chiew Ng, Kim Tien Teo, Swee Teng Tan, Yee-Joo Allen, David Michael Chai, Louis Yi Ann Chng, Wee Joo Lin, Raymond T. P. Lye, David C. B. Wong, John Eu-Li Tan, Gek-Yen Gladys Chan, Conrad En Zuo Chow, Edward Kai-Hua Ho, Dean |
author_sort | Blasiak, Agata |
collection | PubMed |
description | IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow. A starting pool of 12 candidate drugs developed in collaboration with a community of infectious disease clinicians was first narrowed down to a six-drug pool and then interrogated in 50 combination regimens at three dosing levels per drug, representing 729 possible combinations. IDentif.AI-x revealed EIDD-1931 to be a strong candidate upon which multiple drug combinations can be derived, and pinpointed a number of clinically actionable drug interactions, which were further reconfirmed in SARS-CoV-2 variants B.1.351 (Beta) and B.1.617.2 (Delta). IDentif.AI-x prioritized promising drug combinations for clinical translation and can be immediately adjusted and re-executed with a new pool of promising therapies in an actionable path towards rapidly optimizing combination therapy following pandemic emergence. |
format | Online Article Text |
id | pubmed-9244889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92448892022-06-30 The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens Blasiak, Agata Truong, Anh T. L. Remus, Alexandria Hooi, Lissa Seah, Shirley Gek Kheng Wang, Peter Chye, De Hoe Lim, Angeline Pei Chiew Ng, Kim Tien Teo, Swee Teng Tan, Yee-Joo Allen, David Michael Chai, Louis Yi Ann Chng, Wee Joo Lin, Raymond T. P. Lye, David C. B. Wong, John Eu-Li Tan, Gek-Yen Gladys Chan, Conrad En Zuo Chow, Edward Kai-Hua Ho, Dean NPJ Digit Med Article IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow. A starting pool of 12 candidate drugs developed in collaboration with a community of infectious disease clinicians was first narrowed down to a six-drug pool and then interrogated in 50 combination regimens at three dosing levels per drug, representing 729 possible combinations. IDentif.AI-x revealed EIDD-1931 to be a strong candidate upon which multiple drug combinations can be derived, and pinpointed a number of clinically actionable drug interactions, which were further reconfirmed in SARS-CoV-2 variants B.1.351 (Beta) and B.1.617.2 (Delta). IDentif.AI-x prioritized promising drug combinations for clinical translation and can be immediately adjusted and re-executed with a new pool of promising therapies in an actionable path towards rapidly optimizing combination therapy following pandemic emergence. Nature Publishing Group UK 2022-06-30 /pmc/articles/PMC9244889/ /pubmed/35773329 http://dx.doi.org/10.1038/s41746-022-00627-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Blasiak, Agata Truong, Anh T. L. Remus, Alexandria Hooi, Lissa Seah, Shirley Gek Kheng Wang, Peter Chye, De Hoe Lim, Angeline Pei Chiew Ng, Kim Tien Teo, Swee Teng Tan, Yee-Joo Allen, David Michael Chai, Louis Yi Ann Chng, Wee Joo Lin, Raymond T. P. Lye, David C. B. Wong, John Eu-Li Tan, Gek-Yen Gladys Chan, Conrad En Zuo Chow, Edward Kai-Hua Ho, Dean The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title | The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title_full | The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title_fullStr | The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title_full_unstemmed | The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title_short | The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens |
title_sort | identif.ai-x pandemic readiness platform: rapid prioritization of optimized covid-19 combination therapy regimens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244889/ https://www.ncbi.nlm.nih.gov/pubmed/35773329 http://dx.doi.org/10.1038/s41746-022-00627-4 |
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