NaProGraph: Network Analyzer for Interactions between Nucleic Acids and Proteins

Author:

nematzadeh Sajjad12ORCID,Aydin Nizamettin2,Kurt Zeyneb3,Torkamanian-Afshar Mahsa4

Affiliation:

1. Department of Software Engineering, Istanbul Topkapi University, Istanbul, Turkey

2. Department of Computer Engineering, Faculty of Electrical and Electronics, Yildiz Technical University, Istanbul, Turkey

3. Northumbria University Department of Computer and Information Sciences Newcastle upon Tyne United Kingdom

4. Nişantaşı University Computer Engineering Istanbul Turkey

Abstract

abstract: Interactions of RNA and DNA with proteins are crucial for elucidating intracellular processes in living organisms, diagnosing disorders, designing aptamer drugs, and other applications. Therefore, investigating the relationships between these macromolecules is essential to life science research. This study proposes an online network provider tool (NaProGraph) that offers an intuitive and user-friendly interface for studying interactions between nucleic acids (NA) and proteins. NaProGraph utilizes a comprehensive and curated dataset encompassing nearly all interacting macromolecules in the Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB). Researchers can employ this online tool to focus on a specific portion of the PDB, investigate its associated relationships, and visualize and extract pertinent information. This tool provides insights into the frequency of atoms and residues between proteins and nucleic acids (NAs) and the similarity of the macromolecules' primary structures. Furthermore, the functional similarity of proteins can be inferred using protein families and clans from Pfam. The tool we have developed is publicly available at https://naprolink.com/NaProGraph/ background: Interactions between RNA and DNA with proteins are crucial for elucidating intracellular processes in living organisms, diagnosing disorders, designing aptamer drugs, and other applications. Therefore, investigating the relationships between these macromolecules is essential to life science research. method: This study proposes an online network provider tool (NaProGraph) that offers an intuitive and user-friendly interface for studying interactions between nucleic acids (NA) and proteins. NaProGraph utilizes a comprehensive and curated dataset encompassing nearly all interacting macromolecules in the Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB). Researchers can employ this online tool to focus on a specific portion of the PDB, investigate its associated relationships, and visualize and extract pertinent information. This tool provides insights into the frequency of atoms and residues between proteins and NAs and the similarity of the macromolecules' primary structures. Furthermore, the functional similarity of proteins can be inferred using protein families and clans from Pfam. conclusion: The NaProGraph tool serves as an effective online resource for researchers interested in studying interactions between nucleic acids and proteins. By leveraging a comprehensive dataset and providing various visualization and extraction capabilities, NaProGraph facilitates the exploration of macromolecular relationships and aids in understanding intracellular processes in living organisms. other: -

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

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