Author

Natapol Pornputtapong

Chulalongkorn UniversityORCID 0000-0002-3833-0537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1

Frequent Co-Authors

Ekapol ChuangsuwanichiD· 1 shared Poomarin Phloyphisut· 1 shared Sira SriswasdiiD· 1 shared

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2019-2019 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Ekapol ChuangsuwanichORCID

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1 paper

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedMay 28, 2019

MHCSeqNet: A deep neural network model for universal MHC binding prediction

Poomarin Phloyphisut, Natapol Pornputtapong, Sira Sriswasdi, Ekapol Chuangsuwanich

MHCSeqNet is a deep learning model for predicting MHC binding affinity, outperforming existing methods and generalizing to new MHC alleles.

78 citations