Author

A. Bryer

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:mechanistic / dynamical model· 1 Assay:protein structure· 1

Frequent Co-Authors

J. R. Perilla· 3 shared B.-O. Davids· 1 shared C. Aiken· 1 shared C. Dash· 1 shared C. Xu· 1 shared E. Lyman· 1 shared E. Wright· 1 shared J. Pandhare· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBiophysics

J. R. Perilla

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3 papers

Recent·Most cited

HIV-1 Mutants that Escape the Cytotoxic T-Lymphocytes are Defective in Viral DNA Integration

M. Balasubramaniam, S. Thapa, B.-O. Davids, A. Bryer, C. Xu, J. Shi, C. Aiken, J. Pandhare, J. R. Perilla, C. Dash

This study shows that an HIV-1 mutation escaping CTL response impairs viral DNA integration, and compensatory mutations or host factors can rescue this defect.

bioRxiv · Aug 29, 2021Microbiology

Full scale structural, mechanical and dynamical properties of HIV-1 liposomes.

A. Bryer, E. Lyman, T. Reddy, J. R. Perilla

This study uses molecular dynamics simulations to analyze the structural, mechanical, and dynamical properties of HIV-1 liposomes and their relationship to lipid composition.

bioRxiv · Mar 24, 2021Biophysics

Accelerating Prediction of Chemical Shift of Protein Structures on GPUs

E. Wright, M. Ferrato, A. Bryer, R. Searles, J. R. Perilla, S. Chandrasekaran

The paper accelerates chemical shift prediction for large protein complexes using GPU acceleration, reducing computation time from 14 hours to 46.71 seconds.

bioRxiv · Jan 12, 2020 · PreprintBiophysics