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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.
Afiliación
  • Blasiak A; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117456, Singapore. agata.blasiak@nus.edu.sg.
  • Truong ATL; The N.1 Institute for Health (N.1), National University of Singapore, Singapore, 117456, Singapore. agata.blasiak@nus.edu.sg.
  • Remus A; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117583, Singapore. agata.blasiak@nus.edu.sg.
  • Hooi L; Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore. agata.blasiak@nus.edu.sg.
  • Seah SGK; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117456, Singapore.
  • Wang P; The N.1 Institute for Health (N.1), National University of Singapore, Singapore, 117456, Singapore.
  • Chye H; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Lim APC; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117456, Singapore.
  • Ng KT; The N.1 Institute for Health (N.1), National University of Singapore, Singapore, 117456, Singapore.
  • Teo ST; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Tan YJ; Cancer Science Institute of Singapore, National University of Singapore, Singapore, 117599, Singapore.
  • Allen DM; Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore, 117510, Singapore.
  • Chai LYA; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117456, Singapore.
  • Chng WJ; The N.1 Institute for Health (N.1), National University of Singapore, Singapore, 117456, Singapore.
  • Lin RTP; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Lye DCB; Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore, 117510, Singapore.
  • Wong JE; Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore, 117510, Singapore.
  • Tan GG; Defence Medical and Environmental Research Institute, DSO National Laboratories, Singapore, 117510, Singapore.
  • Chan CEZ; Infectious Diseases Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117545, Singapore.
  • Chow EK; Infectious Diseases Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117545, Singapore.
  • Ho D; Institute of Molecular and Cell Biology (IMCB), A*STAR, Singapore, 138673, Singapore.
NPJ Digit Med ; 5(1): 83, 2022 Jun 30.
Article en En | MEDLINE | ID: mdl-35773329
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article País de afiliación: Singapur

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article País de afiliación: Singapur
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