Author

Kun‐Sop Han

Pyongyang University of Science and TechnologyORCID 0000-0001-6320-6573Unclaimed 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 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alessio Del ConteiD· 1 shared Chol-Pyok Ri· 1 shared Chol-Song Kim· 1 shared Damiano PiovesaniD· 1 shared Myong-hyon Pak· 1 shared Se-Ryong Song· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Alessio Del ConteORCID

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1 paper

Recent·Most cited

BioinformaticsInternational Journal of Biological MacromoleculesPeer-reviewedNov 19, 2024

PredIDR: Accurate prediction of protein intrinsic disorder regions using deep convolutional neural network

Kun‐Sop Han, Se-Ryong Song, Myong-hyon Pak…·Damiano Piovesan

PredIDR accurately predicts protein intrinsic disorder regions using a deep convolutional neural network, achieving performance comparable to top state-of-the-art methods in the CAID assessment.

8 citations

protein sequencedeep learning

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