Your browser doesn't support javascript.
Predicting In Vitro and In Vivo Anti-SARS-CoV-2 Activities of Antivirals by Intracellular Bioavailability and Biochemical Activity.
Zhang, Jinwen; He, Mingfeng; Xie, Qian; Su, Ailing; Yang, Kuangyang; Liu, Lichu; Liang, Jianhui; Li, Ziqi; Huang, Xiuxin; Hu, Jianshu; Liu, Qian; Song, Bing; Hu, Chun; Chen, Lei; Wang, Yan.
  • Zhang J; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • He M; Institute of Orthopedics and Traumatology, Foshan Hospital of Traditional Chinese Medicine, Foshan528000, China.
  • Xie Q; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Su A; Key Laboratory of Structure-based Drug Design & Discovery (Ministry of Education), School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang110016, China.
  • Yang K; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Liu L; Institute of Orthopedics and Traumatology, Foshan Hospital of Traditional Chinese Medicine, Foshan528000, China.
  • Liang J; Institute of Orthopedics and Traumatology, Foshan Hospital of Traditional Chinese Medicine, Foshan528000, China.
  • Li Z; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Huang X; Key Laboratory of Structure-based Drug Design & Discovery (Ministry of Education), School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang110016, China.
  • Hu J; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Liu Q; The First Clinical College of Changsha Medical College, Changsha410219, China.
  • Song B; Department of Pharmacology, University of Oxford, OxfordOX1 3QT, UK.
  • Hu C; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Chen L; Center for Translation Medicine Research and Development, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen518055, China.
  • Wang Y; Key Laboratory of Structure-based Drug Design & Discovery (Ministry of Education), School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang110016, China.
ACS Omega ; 7(49): 45023-45035, 2022 Dec 13.
Article in English | MEDLINE | ID: covidwho-2185526
ABSTRACT
Cellular drug response (concentration required for obtaining 50% of a maximum cellular effect, EC50) can be predicted by the intracellular bioavailability (F ic) and biochemical activity (half-maximal inhibitory concentration, IC50) of drugs. In an ideal model, the cellular negative log of EC50 (pEC50) equals the sum of log F ic and the negative log of IC50 (pIC50). Here, we measured F ic's of remdesivir, favipiravir, and hydroxychloroquine in various cells and calculated their anti-SARS-CoV-2 EC50's. The predicted EC50's are close to the observed EC50's in vitro. When the lung concentrations of antiviral drugs are higher than the predicted EC50's in alveolar type 2 cells, the antiviral drugs inhibit virus replication in vivo, and vice versa. Overall, our results indicate that both in vitro and in vivo antiviral activities of drugs can be predicted by their intracellular bioavailability and biochemical activity without using virus. This virus-free strategy can help medicinal chemists and pharmacologists to screen antivirals during early drug discovery, especially for researchers who are not able to work in the high-level biosafety lab.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: ACS Omega Year: 2022 Document Type: Article Affiliation country: Acsomega.2c05376

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: ACS Omega Year: 2022 Document Type: Article Affiliation country: Acsomega.2c05376