Author

Sari Sabban

King Abdulaziz UniversityORCID 0000-0002-9621-2395Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1

Frequent Co-Authors

Mikhail Markovsky· 1 shared

Activity by Year

2020-2026 · peak 1/yr

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 22, 2026

Pose: a pure-NumPy, chirality-aware, structural engine for building and manipulating the molecular structures of proteins, nucleic acids, and small organic molecules

Pose is a Python library for molecular structure manipulation that handles chirality and matches existing tools in energy and docking accuracy.

DOI 10.64898/2026.10.19.760100

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2021

Computationally Grafting an IgE Epitope onto a Scaffold: Implications for a Pan Anti-Allergy Vaccine Design

This paper computationally designs proteins with an IgE epitope grafted onto a scaffold to develop a potential pan-anti-allergy vaccine by targeting the IgE-FcεRI interaction.

5 citations

protein structurestatistical model

𝕏 PostBluesky

BioinformaticsF1000ResearchPeer-reviewedApr 27, 2020

RamaNet: Computational De Novo Helical Protein Backbone Design using a Long Short-Term Memory Generative Neural Network

Sari Sabban, Mikhail Markovsky

This paper demonstrates that an LSTM neural network can generate novel helical protein backbones using only phi and psi angles as features.

24 citations

protein structuredeep learning

𝕏 PostBluesky