Author

Abdul Sattar

Griffith UniversityORCID 0000-0002-2567-2052Unclaimed ORCID profile · follow to get notified of new preprints

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Abdul Sattar2 papers · Universität Hamburg

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 Approach:transformer / foundation model· 1

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Abdollah DehzangiiD· 1 shared Abel Avitesh ChandraiD· 1 shared Alok K. SharmaiD· 1 shared Tatsuhiko TsunodaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Abdollah DehzangiORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedNov 28, 2023

Deep Learning for Protein Peptide bindingPrediction: Incorporating Sequence, Structural andLanguage Model Features

Abel Avitesh Chandra, Alok K. Sharma, Abdollah Dehzangi…·Abdul Sattar

This paper introduces PepCNN, a deep learning model for predicting protein-peptide binding that improves specificity, precision, and AUC over existing methods.

36 citations

protein sequencedeep learning

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