iSARST

iSARST performs high-throughput protein structural similarity searches to identify co-linear and circularly permuted homologs and support protein function annotation.


Key Features:

  • SARST and CPSARST search methods: Uses SARST to identify common structural homologs and CPSARST to detect homologs with circular permutations.
  • Batch processing: Supports batch-processing of large datasets from multiple queries.
  • Input formats: Accepts multiple Protein Data Bank (PDB) or Structural Classification of Proteins (SCOP) entry IDs or an archive file containing numerous structures.
  • Hit refinement: Refines ordering of hits using structure alignment tools FAST, TM-align, and SAMO.
  • Compute infrastructure: Executes refinement steps on a PC cluster for increased speed and precision.
  • Output types: Produces detailed tables listing co-linear and circularly permuted homologs and provides a functional summary of best hits.
  • Detection capability: Capable of handling both co-linear homologs and circularly permuted homologs in batch comparisons.

Scientific Applications:

  • Protein function annotation: Supports annotation of functionally unknown or hypothetical proteins by identifying structurally similar proteins.
  • Large-scale structural screening: Enables scanning of structural databases for homolog detection across many queries.
  • Evolutionary and structural analysis: Facilitates identification of circular permutations for studies of protein evolution and structural variation.

Methodology:

Searches use SARST and CPSARST to scan target structural databases, with hit ordering refined by FAST, TM-align, and SAMO; computations are executed on a PC cluster.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
2/14/2017
Last Updated:
11/25/2024

Operations

Publications

Lo W, Lee C, Lee C, Lyu P. iSARST: an integrated SARST web server for rapid protein structural similarity searches. Nucleic Acids Research. 2009;37(suppl_2):W545-W551. doi:10.1093/nar/gkp291. PMID:19420060. PMCID:PMC2703971.

Documentation