Protein databases articles within Nature Communications

Featured

  • Article
    | Open Access

    During preclinical drug development, the ability of cancer cell lines to faithfully model human disease is important for identifying potential therapeutic strategies. Here, using transcriptomic datasets of over 1000 cell lines, the authors evaluate how representative each line is of its cancer type and present their cell line selection tool.

    • Han Jin
    • , Cheng Zhang
    •  & Adil Mardinoglu
  • Article
    | Open Access

    Here, we present TP-DB; a pattern-based search engine based on 1.67 million helices from the Protein Database (PDB). We demonstrate the utility of TP-DB in identifying microbe-specific antigens, as well as the design of antimicrobial peptides and Protein-protein interaction blockers.

    • Cheng-Yu Tsai
    • , Emmanuel Oluwatobi Salawu
    •  & Lee-Wei Yang
  • Perspective
    | Open Access

    The IMEx consortium provides one of the largest resources of curated, experimentally verified molecular interaction data. Here, the authors review how IMEx evolved into a fundamental resource for life scientists and describe how IMEx data can support biomedical research.

    • Pablo Porras
    • , Elisabet Barrera
    •  & Sandra Orchard
  • Article
    | Open Access

    The authors previously developed the Protein Common Interface Database (ProtCID), which compares and clusters the interfaces of pairs of full-length protein chains with defined Pfam domain architectures in different PDB entries to identify biological assemblies. Here the authors extend ProtCID to the clustering of domain-domain interactions that also allows analyzing domain interactions with peptides, nucleic acids, and ligands.

    • Qifang Xu
    •  & Roland L. Dunbrack Jr.
  • Article
    | Open Access

    Proteoforms arise as protein isoforms or as protein haplotypes, which are the result of genetic variation. Here, the authors develop Haplosaurus, a database that computes protein haplotypes genome-wide from existing genotype data and analyse protein haplotype variability in the 1000 Genomes dataset.

    • William Spooner
    • , William McLaren
    •  & Catherine Chaillan Huntington