LAHEDES

LAHEDES catalogs and searches LAGLIDADG homing endonucleases (LHEs) and identifies candidate DNA target sites and amino-acid interaction clusters to support selection and engineering of meganucleases for gene-targeting applications.


Key Features:

  • LHE repository: A curated database of LAGLIDADG homing endonucleases (LHEs, meganucleases) with characterized biochemical activities and known target site specificities.
  • Target-site identification: Identification of potential DNA sequences recognized by wild-type or engineered LHE variants.
  • Search scope: Searches across sequence ranges from single genes to entire genomic reads to pinpoint target sites within complex genomes.
  • Scoring algorithms: Four distinct scoring algorithms available to evaluate candidate target sites.
  • Scaffold selection: Selectable LHE scaffolds to tailor searches to specific enzyme backbones.
  • Amino-acid cluster information: Reports clusters of amino acids within endonucleases to inform engineering and selection experiments aimed at modifying specificity.

Scientific Applications:

  • Gene targeting and genome editing: Selecting validated LHEs and candidate target sites for precise gene-targeting applications.
  • Target discovery in complex genomes: Pinpointing candidate cleavage sites within single genes or whole genomic read datasets.
  • Enzyme engineering and selection: Guiding specificity modification and selection experiments using amino-acid cluster data and scaffold context.

Methodology:

Searches across input sequences (single genes to genomic reads) using four distinct scoring algorithms with selectable LHE scaffolds and reporting of amino-acid cluster information.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/25/2017
Last Updated:
11/25/2024

Operations

Publications

Taylor GK, Petrucci LH, Lambert AR, Baxter SK, Jarjour J, Stoddard BL. LAHEDES: the LAGLIDADG homing endonuclease database and engineering server. Nucleic Acids Research. 2012;40(W1):W110-W116. doi:10.1093/nar/gks365. PMID:22570419. PMCID:PMC3394308.

Documentation