Author

Hafeez Ur Rehman

National University of Computer and Emerging SciencesORCID 0000-0002-3274-6347Unclaimed 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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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:protein sequence· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alfredo BensoiD· 2 shared Gianfranco Michele Maria PolitanoiD· 2 shared Aashish JainiD· 1 shared Adrian AltenhoffiD· 1 shared Alberto PaccanaroiD· 1 shared Alessandro PetriniiD· 1 shared Ali Ebrahimpour-BoroojenyiD· 1 shared Alice Carolyn McHardyiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alfredo BensoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 12, 2026

On the state of protein function prediction: a report on the fourth CAFA challenge

Rashika Ramola, M. Clara De Paolis Kaluza, Damiano Piovesan…·Maarten J. M. F. Reijnders

This paper reports on the fourth CAFA challenge, showing improvements in Gene Ontology term prediction but highlighting challenges in new evaluation settings.

DOI 10.64898/2026.05.06.722942

protein sequencestatistical model

BioinformaticsJournal of Grid ComputingPeer-reviewedJul 28, 2018

Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins

Mohammad Nauman, Hafeez Ur Rehman, Gianfranco Michele Maria Politano, Alfredo Benso

The paper introduces DeepSeq, a deep learning model that predicts protein functions from sequences, achieving high accuracy and solving related tasks automatically.

53 citations

protein sequencedeep learning