Author

M. Milighetti

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

Frequent Co-Authors

B. Chain· 2 shared A. Chandran· 1 shared A. J. Mentzer· 1 shared A. Mayer· 1 shared A. McKnight· 1 shared A. Otter· 1 shared A. Semper· 1 shared C. C. S. Tan· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

B. Chain

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2 papers

Recent·Most cited

Large clones of pre-existing T cells drive early immunity against SARS-COV-2 and LCMV infection.

M. Milighetti, Y. Peng, C. C. S. Tan, M. Mark, G. Nageswaran, S. Byrne, T. Ronel, T. Peacock, A. Mayer, A. Chandran, J. Rosenheim, M. Wheelan, X. Yao, G. Liu, S. L. Felce, , B. Chain

The paper identifies high frequency naive T cell precursors that drive rapid T cell responses during early SARS-COV-2 and LCMV infections.

bioRxiv · Nov 8, 2022Immunology

Predicting T cell receptor antigen specificity from structural features derived from homology models of receptor-peptide-major histocompatibility complexes.

M. Milighetti, J. Shawe-Taylor, B. Chain

The paper develops a classifier to predict TCR binding using structural features from homology models of TCR-pMHC complexes, achieving comparable performance to sequence-based methods with smaller training sets.

bioRxiv · May 19, 2021Immunology