Author

Abubakar Saeed

Government College University, FaisalabadORCID 0009-0008-9936-4707Unclaimed 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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Approach:graph neural network· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:long-read sequencing· 1 Organism:mouse· 1 Research Focus:protein design· 1

Frequent Co-Authors

Waseem AbbasiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedSep 4, 2026

BioGraphX-RNA: A Universal Physicochemical Graph Encoding for Interpretable RNA Subcellular Localization Prediction

Abubakar Saeed, Waseem Abbas

BioGraphX-RNA predicts RNA subcellular localization using physicochemical graph encoding, showing competitive performance and interpretability across mRNA, miRNA, and lncRNA.

DOI 10.1186/s12859-026-06619-5

humanmouse

𝕏 PostBluesky

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

BioGraphX: Bridging the Sequence-Structure Gap via PhysicochemicalGraph Encoding for Interpretable Subcellular Localization Prediction

Abubakar Saeed, Waseem Abbas

BioGraphX improves subcellular localization prediction by using physicochemical graph encoding to provide interpretable and accurate results without requiring 3D structures.

1 citation

protein sequencestatistical model

𝕏 PostBluesky