patmatmotifs

patmatmotifs scans protein sequences for PROSITE motifs to identify conserved functional patterns and domains.


Key Features:

  • PROSITE motif scanning: Scans input protein sequences against PROSITE motif definitions to detect occurrences of curated functional patterns and domains.
  • Integration with EMBOSS: Operates within the EMBOSS framework to interoperate with EMBOSS programs and libraries for pipeline-based analyses.
  • Extensible C libraries: Leverages EMBOSS C programming libraries to enable extension and development of additional computational analyses.
  • ACD configuration support: Supports Application Configuration Definition (ACD) files to customize tool parameters and behavior.

Scientific Applications:

  • Protein function prediction and annotation: Assigns putative functions to proteins by detecting PROSITE motifs associated with known activities.
  • Identification of conserved regions and functional domains: Reveals conserved sequence patterns indicative of structural features or catalytic sites.
  • Support for studies of cellular processes and disease mechanisms: Provides motif-based evidence useful for investigating protein roles in cellular pathways, disease mechanisms, and therapeutic target identification.

Methodology:

Aligns input protein sequences against the curated motif patterns from the PROSITE database to identify occurrences of known functional domains.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C
Added:
11/8/2015
Last Updated:
12/10/2018

Operations

Publications

Rice P, Longden I, Bleasby A. EMBOSS: The European Molecular Biology Open Software Suite. Trends in Genetics. 2000;16(6):276-277. doi:10.1016/s0168-9525(00)02024-2.

Bleasby AJ, Ison JC, Rice PM. EMBOSS Administrator's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151399.

Ison JC, Rice PM, Bleasby AJ. EMBOSS Developer's Guide. Unknown Journal. 2011. doi:10.1017/cbo9781139151405.

Documentation

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