Author

Saber Soleymani

University of GeorgiaORCID 0000-0002-0771-4319Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Approach:deep learning· 2 Approach:machine learning (classical)· 2 Organism:multiple species· 2 Approach:statistical model· 2 Assay:protein sequence· 1

Frequent Co-Authors

Natarajan KannaniD· 4 shared Nathan GraveliD· 4 shared Krzysztof KochutiD· 2 shared Austin Downes· 1 shared Elika Bozorgi· 1 shared Kennady Boyd· 1 shared Liang‐Chin HuangiD· 1 shared N. George Bendzunas· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersBioinformatics

Natarajan KannanORCID

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4 papers

Recent·Most cited

CLASPP: A unified model for predicting post-translational modifications

Nathan Gravel, Zhongliang Zhou, Ruili Fang, Austin Downes, Saber Soleymani, Natarajan Kannan

CLASPP is a unified deep learning model that predicts multiple PTM types from protein sequences, addressing data imbalance and improving prediction performance across organisms.

PLoS Computational Biology · Aug 14, 2026Peer-reviewedBioinformatics

Identification and classification of ion-channels across the tree of life provide functional insights into understudied CALHM channels

Rahil Taujale, Sung Jin Park, Nathan Gravel, Saber Soleymani, Rayna Carter, Kennady Boyd, Sarah I Keuning, Zheng Ruan, Wei Lü, Natarajan Kannan

The paper identifies and classifies ion channels across species, revealing functional insights into understudied CALHM channels through sequence, structure, and functional data integration.

eLife · May 18, 2026Peer-reviewedBioinformatics

Task Splitting and Prompt Engineering for Cypher Query Generation in Domain-Specific Knowledge Graphs

Saber Soleymani, Nathan Gravel, Krzysztof Kochut, Natarajan Kannan

This paper introduces Prompt2Cypher, a method that uses task splitting and prompt engineering to improve Cypher query generation for domain-specific knowledge graphs, showing better accuracy in biological datasets.

bioRxiv · Apr 23, 2025 · PreprintBioinformatics

Dark kinase annotation, mining and visualization using the Protein Kinase Ontology

Saber Soleymani, Nathan Gravel, Liang‐Chin Huang, Wayland Yeung, Elika Bozorgi, N. George Bendzunas, Krzysztof Kochut, Natarajan Kannan

The paper extends the Protein Kinase Ontology (ProKinO) to uncover new insights about dark kinases, identifying PAK5 as a frequently mutated kinase in cancers and highlighting its potential in drug discovery.

PeerJ · Dec 5, 2023Peer-reviewedBioinformatics