Author

J. Arsuaga

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:deep learning· 2 Research Focus:host-pathogen & immune response· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

D. L. Cox· 2 shared M. Vazquez· 2 shared A. Baidya· 1 shared G. Gonzalez· 1 shared G. Gonzalez-Isunza· 1 shared J. Lusk· 1 shared M. Z. Jawaid· 1 shared M.- Z. Jawaid· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMicrobiology

D. L. Cox

Mutual co-authors in cluster

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

Computational study of the furin cleavage domain of SARS-CoV-2: delta binds strongest of extant variants

M. Z. Jawaid, A. Baidya, S. Jakovcevic, J. Lusk, R. Mahboubi-Ardakani, N. Solomon, G. Gonzalez, J. Arsuaga, M. Vazquez, R. L. Davis, D. L. Cox

The paper uses AlphaFold to predict furin cleavage domain structures and finds delta variant has strong binding, with some rare sequences matching it statistically.

bioRxiv · Jan 4, 2022 · PreprintBiophysics