Author

Swapnil Mahajan

Centre National de la Recherche ScientifiqueORCID 0000-0003-2136-1801Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Alexandre G. de BreverniD· 1 shared Amalie Kai BentzeniD· 1 shared Bernard OffmanniD· 1 shared Bjoern PetersiD· 1 shared Frédéric CadetiD· 1 shared Iyanar VetriveliD· 1 shared Kamilla Kjærgaard Jensen· 1 shared Leon Eyrich JesseniD· 1 shared

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2017-2018 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alexandre G. de BrevernORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 3, 2018

NetTCR: sequence-based prediction of TCR binding to peptide-MHC complexes using convolutional neural networks

Vanessa Isabell Jurtz, Leon Eyrich Jessen, Amalie Kai Bentzen…·Morten Nielsen

A sequence-only convolutional network trained on T cell receptor (TCR)-peptide pairs for HLA-A*02:01 can single out TCRs that bind a target peptide among many non-binding ones.

118 citations

humanprotein sequence

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BioinformaticsPLoS ONEPeer-reviewedNov 21, 2017

PB-kPRED: Knowledge-Based Prediction Of Protein Backbone Conformation Using A Structural Alphabet

Iyanar Vetrivel, Swapnil Mahajan, Manoj Tyagi…·Bernard Offmann

The paper introduces kPred, a knowledge-based method for predicting protein backbone conformations using structural prototypes, achieving mean Q16 accuracies between 40.8% and 66.3%.

17 citations

protein structurestatistical model

𝕏 PostBluesky