Author

Sai Sundar Rajan Raghavan

Scripps Research InstituteORCID 0000-0002-2575-2685Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:protein structure prediction· 3 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein structure· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1

Frequent Co-Authors

Andrew B. WardiD· 4 shared Charlotte Mary DeaneiD· 2 shared Alesandra J. RodrigueziD· 1 shared Alessia LiguoriiD· 1 shared Alexander BujotzekiD· 1 shared Ana RodriguesiD· 1 shared Anant GharpureiD· 1 shared Angela M. MinassianiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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4 shared papersImmunology

Andrew B. WardORCID

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Author profile →

4 papers

Recent·Most cited

Structural basis for synergistic antibody protection against the essential malaria invasion complex protein RIPR

Barnabas G. Williams, Jordan R. Barrett, Josefin Bartholdson Scott, Cassandra A. Rigby, Matteo Cagiada, Doris Quinkert, Kirsty McHugh, Anna Gesine Huhn, Sean A. Burnap, Camille Gourjault, Francesca Byrne, Sai Sundar Rajan Raghavan, Ana Rodrigues, Laura Bergamaschi, Beatrice Balzarotti, , Simon J. Draper

The paper identifies synergistic antibody interactions against the malaria protein RIPR, showing how combinations of antibodies targeting specific domains inhibit parasite invasion.

Immunity · Jun 12, 2026Peer-reviewedImmunology

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes

Nelson R. Wu, Karla M. Castro, Nathan Beutler, Wen-Hsin Lee, Sai Sundar Rajan Raghavan, Gregory M. Martin, Monika Jain, Sashank Agrawal, Alessia Liguori, Oleksandr Kalyuzhniy, Patrick D. Skog, Sierra Terada, Yen‐Chung Lai, Justin Ndihokubwayo, Danny Lu, , William R. Schief

This study uses deep learning to design multi-epitope scaffolds mimicking CSP's spatial structure, showing accurate positioning of two epitopes and partial success with the third.

Proceedings of the National Academy of Sciences · Apr 7, 2026Peer-reviewedImmunology

Predicting the conformational flexibility of antibody and T-cell receptor CDRs

Fabian C. Spoendlin, Monica L. Fernández‐Quintero, Sai Sundar Rajan Raghavan, Hannah L. Turner, Anant Gharpure, Johannes R. Loeffler, Wing Ki Wong, Alexander Bujotzek, Guy J. Georges, Andrew B. Ward, Charlotte Mary Deane

The paper predicts the structural flexibility of antibody and T-cell receptor CDR3 loops using a new method trained on a large dataset of conformations.

Nature Machine Intelligence · Oct 16, 2025Peer-reviewedBioinformatics

Functional and epitope specific monoclonal antibody discovery directly from immune sera using cryoEM

James A. Ferguson, Sai Sundar Rajan Raghavan, Garazi Peña Alzua, Disha Bhavsar, Jiachen Huang, Alesandra J. Rodriguez, Jonathan L. Torres, Maria Bottermann, Julianna Han, Florian Krammer, Facundo D. Batista, Andrew B. Ward

This paper develops a method to discover monoclonal antibodies directly from immune sera using cryoEM and computational tools, significantly speeding up the process and improving accuracy.

Science Advances · Aug 15, 2025Peer-reviewedImmunology