Author

Yves‐Henri Sanejouand

Centre National de la Recherche ScientifiqueORCID 0000-0001-8589-2666Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:database / resource· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alexandre G. de BreverniD· 1 shared Bernard OffmanniD· 1 shared Frédéric CadetiD· 1 shared Iyanar VetriveliD· 1 shared Lionel Hoffmann· 1 shared Manoj Tyagi· 1 shared Narayanaswamy SrinivasaniD· 1 shared Swapnil MahajaniD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Alexandre G. de BrevernORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintNov 9, 2023

Are most human specific proteins encoded by long non-coding RNA?

Yves‐Henri Sanejouand

The paper identifies 170 putative human-specific proteins, most encoded by long non-coding RNAs, but finds limited structural and functional knowledge about them.

DOI 10.1101/2023.11.09.566363

humanprotein sequence

𝕏 PostBluesky

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