Structural Genomics of Histone Tail Recognition

Structural Genomics of Histone Tail Recognition compiles and annotates publicly available experimental structures of histone tail–human protein complexes to characterize recognition mechanisms, binding sites, and chemical tractability relevant to epigenetic research and drug design.


Key Features:

  • Structure compilation from public databases: Compiles all publicly available experimental structures involving histone tails and human proteins from public databases.
  • Interactive 3D Visualization: Provides interactive 3D slides that visualize structural mechanisms underlying recognition of specific sequences and histone marks.
  • Educational Mini Articles: Associates each entry with a concise textual mini article linked to interactive graphics that summarize primary features of each interaction.
  • Comparative Analysis: Enables analysis and comparison of binding modes across diverse histone recognition modules to identify conserved mechanisms or unique adaptations.
  • Binding-site chemical tractability annotation: Highlights and summarizes the chemical tractability of binding sites involved in epigenetic signaling.
  • Support for small molecule inhibitor design: Provides detailed structural insights of binding interactions to inform small molecule inhibitor design targeting aberrant epigenetic regulation.

Scientific Applications:

  • Epigenetic Research: Elucidates how histone modifications influence gene expression and chromatin structure by characterizing protein–histone interactions and binding-site tractability.
  • Drug Design: Supports the design of small molecule inhibitors by providing detailed structural information on binding interactions in histone tail recognition modules.
  • Structural Biology: Supplies curated structural data and comparative analyses for researchers studying chromatin dynamics and histone recognition mechanisms.

Methodology:

Compiles experimental structures from publicly available databases and integrates concise textual descriptions with dynamic 3D graphics.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
4/22/2017
Last Updated:
11/25/2024

Operations

Publications

Wang M, Mok MW, Harper H, Lee WH, Min J, Knapp S, Oppermann U, Marsden B, Schapira M. Structural genomics of histone tail recognition. Bioinformatics. 2010;26(20):2629-2630. doi:10.1093/bioinformatics/btq491. PMID:20739309. PMCID:PMC2951094.

Documentation