Author

J. B. Munro

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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Microbiology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:virus· 2 Organism:bacteria (other)· 1 Research Focus:phylogenetics / evolution· 1 Assay:proteomics· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

J. Luban· 2 shared K. Shen· 2 shared L. Yurkovetskiy· 2 shared M. A. Diaz-Salinas· 2 shared A. Dauphin· 1 shared C. Kurhade· 1 shared J. A. Jaimes· 1 shared J. C. Dunning Hotopp· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersMicrobiology

J. Luban

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

S:D614G and S:H655Y are gateway mutations that act epistatically to promote SARS-CoV-2 variant fitness

L. Yurkovetskiy, S. Egri, C. Kurhade, M. A. Diaz-Salinas, J. A. Jaimes, T. Nyalile, X. Xie, M. C. Choudhary, A. Dauphin, J. Z. Li, J. B. Munro, P.-Y. Shi, K. Shen, J. Luban

This study shows that S:D614G and S:H655Y mutations enhance SARS-CoV-2 infectivity by stabilizing the Spike protein in an open RBD conformation, acting epistatically with the polybasic S1/S2 cleavage site.

bioRxiv · Mar 30, 2023 · PreprintMicrobiology

Conformational dynamics and allosteric modulation of the SARS-CoV-2 spike

M. A. Diaz-Salinas, Q. Li, M. Ejemel, L. Yurkovetskiy, J. Luban, K. Shen, Y. Wang, J. B. Munro

This study investigates how ACE2 and antibodies affect the conformational dynamics of the SARS-CoV-2 spike protein using smFRET and FCS, revealing that D614G modulates RBD energetics similar to ACE2 binding.

bioRxiv · Oct 29, 2021Biophysics

Using Core Genome Alignments to Assign Bacterial Species

M. Chung, J. B. Munro, J. C. Dunning Hotopp

This paper introduces a method using core genome alignments to assign bacterial species designations, finding a 96.8% sequence identity threshold that improves species delineation, particularly for Rickettsiales.

bioRxiv · May 22, 2018Microbiology