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HMMCAS: A Web Tool for the Identification and Domain Annotations of CAS Proteins.
- Source :
-
IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2019 Jul-Aug; Vol. 16 (4), pp. 1313-1315. Date of Electronic Publication: 2017 Feb 07. - Publication Year :
- 2019
-
Abstract
- The CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated proteins) adaptive immune systems are discovered in many bacteria and most archaea. These systems are encoded by cas (CRISPR-associated) operons that have an extremely diverse architecture. The most crucial step in the depiction of cas operons composition is the identification of cas genes or Cas proteins. With the continuous increase of the newly sequenced archaeal and bacterial genomes, the recognition of new Cas proteins is becoming possible, which not only provides candidates for novel genome editing tools but also helps to understand the prokaryotic immune system better. Here, we describe HMMCAS, a web service for the detection of CRISPR-associated structural and functional domains in protein sequences. HMMCAS uses hmmscan similarity search algorithm in HMMER3.1 to provide a fast, interactive service based on a comprehensive collection of hidden Markov models of Cas protein family. It can accurately identify the Cas proteins including those fusion proteins, for example the Cas1-Cas4 fusion protein in Candidatus Chloracidobacterium thermophilum B (Cab. thermophilum B). HMMCAS can also find putative cas operon and determine which type it belongs to. HMMCAS is freely available at http://i.uestc.edu.cn/hmmcas.
- Subjects :
- Acidobacteria genetics
Algorithms
Archaea genetics
Archaeal Proteins chemistry
Bacteria genetics
Bacterial Proteins chemistry
Genome, Archaeal
Genome, Bacterial
Internet
Markov Chains
Methanocaldococcus genetics
Mimiviridae genetics
Operon
Phylogeny
Protein Domains
Proteome
Proteomics
CRISPR-Cas Systems
Computational Biology methods
Software
Subjects
Details
- Language :
- English
- ISSN :
- 1557-9964
- Volume :
- 16
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- IEEE/ACM transactions on computational biology and bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 28186905
- Full Text :
- https://doi.org/10.1109/TCBB.2017.2665542