Guo-Wei Wei

Mathematical virology, virus evolution, infectivity, vaccine breakthrough and antibody resistance

Third party YouTube about our work on SARS-CoV-2

SARS-CoV-2 Mutation Tracker

SARS-CoV-2 Mutation Analyzer

SARS-CoV-2 RBD Mutations in the US.

• JunJie Wee and Guo-Wei Wei, Deep mutational scanning of SARS-CoV-2 new variants using topological deep learning and AlphaFold 3, (2024).

• JunJie Wee, Jiahui Chen, and Guo-Wei Wei, Preventing future zoonosis: SARS-CoV-2 mutations enhance human-animal cross-transmission, Computers in Biology and Medicine, 182, 109101 (2024).

• Xiaoqi Wei, Jiehui Chen and Guo-Wei Wei, Persistent topological Laplacian analysis of SARS-Cov-2 variants, Journal of Computational Biophysics and Chemistry, 22, 569-587, (2023).

• Jiahui Chen, Daniel R. Woldring, Faqing Huang, Xuefei Huang, and Guo-Wei Wei, Topological deep learning based deep mutational scanning, Computers in Biology and Medicine, 164, 107258 (2023).

Persistent topological Laplacian analysis of SARS-Cov-2 variants, Journal of Computational Biophysics and Chemistry, 22, 569-587 (2023).

Emerging dominant SARS-CoV-2 variants, Journal of Chemical Information and Modeling, 63, 335–342 (2022).

Persistent Laplacian projected Omicron BA.4 and BA.5 to become new dominating variants, Computers in Biology and Medicine, 151, 106262, (2022).

Omicron BA.2 (B.1.1.529.2): high potential to becoming the next dominating variant, The Journal of Physical Chemistry Letters, 13, 3840-3849 (2022).

Omicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance, Journal of Chemical Information and Modeling, 62 (2), 412-422 (2022).

Artificial intelligence design of mutation-proof COVID-19 antibody therapies, Communications in Information and Systems, accepted, (2022).

Review of the mechanisms of SARS-CoV-2 evolution and transmission, Chemical Science, (2021).

Emerging vaccine-breakthrough SARS-CoV-2 variants,ACS Infectious Diseases,8, 3, 546–556(2022).

Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2, Chemical Reviews, Chemical Review, 122, 13, 11287–1136 (2022).

Mechanisms of SARS-CoV-2 evolution revealing vaccine-resistant mutations in Europe and America, The Journal of Physical Chemistry Letters, 12, 11850-11857 (2021).

Perspective of SARS-CoV-2 main protease inhibitors, Journal of Medicinal Chemistry, 64, 16922-16955 (2021).

Revealing the threat of emerging SARS-CoV-2 mutations to antibody therapies, Journal of Molecular Biology, 433, 167155 (2021).

Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, South Africa, and other COVID-19-devastated countries, Genomics, 11, 2158-2170 (2021).

UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets, Computers in Biology and Medicine, 131, 104264 (2021).

Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies, Chemical Science, 12, 6929 - 6948 (2021).

SARS-CoV-2 becoming more infectious as revealed by algebraic topology and deep learning, Communications in Information and Systems, 21(1), 31-36 (2021).

Host immune response driving SARS-CoV-2 evolution, Viruses, 12, 1095 (2020).

Analysis of SARS-CoV-2 mutations in the United States suggests presence of four substrains and novel variants, Communications Biology, 4, 228 (2021).

Decoding asymptomatic COVID-19 infection and transmission, The Journal of Physical Chemistry Letters, 11, 10007-10015 (2020).

Review of COVID-19 antibody therapies, Annual Review of Biophysics, 50, 1-30, (2021).

Mutations strengthened SARS-CoV-2 infectivity, Journal of Molecular Biology, 432, 5212-5226 (2020).

Mutations on COVID-19 diagnostic targets,Genomics, 112, 5204-5213 (2020).

Repositioning of 8565 existing drugs for COVID-19, The Journal of Physical Chemistry Letters, 11, 13, 5373–5382 (2020).

Unveiling the molecular mechanism of SARS-CoV-2 main protease inhibition from 92 crystal structures,Chemical Science, 11, 12036 - 12046 (2020).

Decoding SARS-CoV-2 transmission, evolution and ramification on COVID-19 diagnosis, vaccine, and medicine, Journal of Chemical Information and Modeling, 60, 5853-5865 (2020).

Potentially highly potent drugs for 2019-nCoV

Machine intelligence design of 2019-nCoV drugs