Faculty, Staff and Student Publications

Authors

    Language

    English

    Publication Date

    1-5-2024

    Journal

    Nucleic Acids Research

    DOI

    10.1093/nar/gkad920

    PMID

    37870473

    PMCID

    PMC10767906

    PubMedCentral® Posted Date

    January 2024

    PubMedCentral® Full Text Version

    Post-print

    Abstract

    Tumorigenic functions due to the formation of fusion genes have been targeted for cancer therapeutics (i.e. kinase inhibitors). However, many fusion proteins involved in various cellular processes have not been studied for targeted therapeutics. This is because the lack of complete fusion protein sequences and their whole 3D structures has made it challenging to develop new therapeutic strategies. To fill these critical gaps, we developed a computational pipeline and a resource of human fusion proteins named FusionPDB, available at https://compbio.uth.edu/FusionPDB. FusionPDB is organized into four levels: 43K fusion protein sequences (14.7K in-frame fusion genes, Level 1), over 2300 + 1267 fusion protein 3D structures (from 2300 recurrent and 266 manually curated in-frame fusion genes, Level 2), pLDDT score analysis for the 1267 fusion proteins from 266 manually curated fusion genes (Level 3), and virtual screening outcomes for 68 selected fusion proteins from 266 manually curated fusion genes (Level 4). FusionPDB is the only resource providing whole 3D structures of fusion proteins and comprehensive knowledge of human fusion proteins. It will be regularly updated until it covers all human fusion proteins in the future.

    Keywords

    Humans, Amino Acid Sequence, Knowledge Bases, Neoplasms, Databases, Protein, Protein Conformation

    Published Open-Access

    yes

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