ProCogGraph: A Graph-Based Mapping of Cognate Ligand Domain Interactions

Matthew Crown, Matthew Bashton*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
    21 Downloads (Pure)

    Abstract

    Motivation
    Mappings of domain-cognate ligand interactions can enhance our understanding of the core concepts of evolution and be used to aid docking and protein design. Since the last available cognate-ligand domain database was released, the PDB has grown significantly and new tools are available for measuring similarity and determining contacts.

    Results
    We present ProCogGraph, a graph database of cognate-ligand domain mappings in PDB structures. Building upon the work of the predecessor database, PROCOGNATE, we use data-driven approaches to develop thresholds and interaction modes. We explore new aspects of domain-cognate ligand interactions, including the chemical similarity of bound cognate ligands and how domain combinations influence cognate ligand binding. Finally, we use the graph to add specificity to partial EC IDs, showing that ProCogGraph can complete partial annotations systematically through assigned cognate ligands.

    Availability and Implementation
    The ProCogGraph pipeline, database and flat files are available at https://github.com/bashton-lab/ProCogGraph and https://doi.org/10.5281/zenodo.13165851.
    Original languageEnglish
    Article numbervbae161
    Pages (from-to)1-10
    Number of pages10
    JournalBioinformatics Advances
    Volume4
    Issue number1
    Early online date22 Oct 2024
    DOIs
    Publication statusPublished - 2024

    Cite this