The success of the ongoing battle with coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) depends crucially on the availability of effective diagnostics, vaccines, antibody therapeutics, and small-molecular drugs. Although SARS-CoV-2 mutates slower than the viruses that cause the flu and the common cold, it has had more than 8300 observed single mutations on its genome of 29,900 nucleotides by June 1, 2020. We show that these mutations might have devastating effects on COVID-19 diagnostics, vaccines, antibody therapeutics, and small-molecular drugs (J. Chem. Inf. Model. In press). We will develop new artificial intelligence (AI) to forecast SARS-CoV-2 future mutations. Leveraging on state-of-art methods developed under the present R01 award, we will design mutation- resistant vaccines, antibody therapeutics, and small-molecular drugs. The CPUs and GPUs requested in this supplement will be essential for my lab to continue the research of the present R01 award and to apply the methods developed in this award to attack fundamental problems in combating COVID-19.

Public Health Relevance

The project concerns the forecasting of SARS-C0V-2 mutations and the design of mutation- resistant vaccines, antibody therapeutics, and small-molecular drugs using artificial intelligence (AI) and advanced mathematics. The requested CPUs and GPUs will enable us to addresses potential threats in combating COVID-19.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
3R01GM126189-03S1
Application #
10189006
Study Section
Macromolecular Structure and Function D Study Section (MSFD)
Program Officer
Lyster, Peter
Project Start
2018-08-01
Project End
2022-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Michigan State University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
193247145
City
East Lansing
State
MI
Country
United States
Zip Code
48824
Bramer, David; Wei, Guo-Wei (2018) Blind prediction of protein B-factor and flexibility. J Chem Phys 149:134107