Author

M. Robb

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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Evolutionary Biology· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Redd· 1 shared C. Beck· 1 shared C. Illingworth· 1 shared C. J. Taylor· 1 shared C. Kling· 1 shared D. H. Mallon· 1 shared D. Kabelitz· 1 shared D. Kihara· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEvolutionary Biology

A. Redd

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Remarkable Genetic Shift in a Transmitted/Founder Virus Broadens Antibody Responses Against HIV-1

S. Jain, G. Uritskiy, M. Mahalingam, H. Batra, S. Chand, H. Trinh, C. Beck, W.-H. Shin, W. AlSalmi, G. Kijak, L. A. Eller, J. Kim, D. Kihara, S. Tovanabutra, G. Ferrari, , V. B. Rao

The paper identifies a genetic shift in an HIV-1 transmitted/founder virus that leads to broader antibody responses by altering the V2 domain structure.

bioRxiv · Jun 16, 2021Microbiology

A de novo approach to inferring within-host fitness effects during untreated HIV-1 infection

C. Illingworth, J. Raghwani, D. Serwadda, N. K. Sewankambo, M. Robb, M. Eller, A. Redd, T. Quinn, K. Lythgoe

This study uses a novel multi-locus method to infer selection effects on HIV-1 variants in untreated patients, finding a broad distribution of beneficial fitness effects with many variants under weak selection.

bioRxiv · Nov 6, 2019Evolutionary Biology

Predicting humoral alloimmunity from differences in donor-recipient HLA surface electrostatic potential

D. H. Mallon, C. Kling, M. Robb, E. Ellinghaus, J. A. Bradley, C. J. Taylor, D. Kabelitz, V. Kosmoliaptsis

The paper develops a computational score to predict donor-specific alloantibody development based on HLA surface electrostatic potential differences between donor and recipient.

bioRxiv · Apr 4, 2018Immunology