Author

M.- Z. Jawaid

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:biophysical modeling· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Organism:virus· 1

Frequent Co-Authors

D. L. Cox· 2 shared A. Baidya· 1 shared G. Gonzalez-Isunza· 1 shared J. Arsuaga· 1 shared M. Vazquez· 1 shared P. Liu· 1 shared R. L. Davis· 1 shared R. Mahboubi-Ardakani· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersMicrobiology

D. L. Cox

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Author profile →

2 papers

Recent·Most cited

Using machine learning to detect coronaviruses potentially infectious to humans

G. Gonzalez-Isunza, M.- Z. Jawaid, P. Liu, D. L. Cox, M. Vazquez, J. Arsuaga

This paper uses machine learning to predict coronaviruses that may infect humans by analyzing spike protein receptor binding, identifying two previously unknown human-binding coronaviruses.

bioRxiv · Dec 11, 2022Microbiology

Simulation of the omicron variant of SARS-CoV-2 shows broad antibody escape, weakened ACE2 binding, and modest increase in furin binding

M.- Z. Jawaid, A. Baidya, R. Mahboubi-Ardakani, R. L. Davis, D. L. Cox

The paper simulates the omicron variant's spike protein interactions with ACE2, antibodies, and furin to assess binding changes and potential disease impact.

bioRxiv · Dec 14, 2021 · PreprintBiophysics