نتایج جستجو برای: pfam database

تعداد نتایج: 268142  

Journal: :Bioinformatics 2009
Nicolas Terrapon Olivier Gascuel Eric Maréchal Laurent Bréhélin

MOTIVATION Hidden Markov models (HMMs) have proved to be a powerful tool for protein domain identification in newly sequenced organisms. However, numerous domains may be missed in highly divergent proteins. This is the case for Plasmodium falciparum proteins, the main causal agent of human malaria. RESULTS We propose a method to improve the sensitivity of HMM domain detection by exploiting th...

Journal: :Genome research 2003
Christian E V Storm Erik L L Sonnhammer

One of the most reliable methods for protein function annotation is to transfer experimentally known functions from orthologous proteins in other organisms. Most methods for identifying orthologs operate on a subset of organisms with a completely sequenced genome, and treat proteins as single-domain units. However, it is well known that proteins are often made up of several independent domains,...

2016
Mojtaba Mortazavi Mohammad Zarenezhad Saeid Gholamzadeh Seyed Moayed Alavian Mohammad Ghorbani Reza Dehghani Abdorrasoul Malekpour Mohammadhasan Meshkibaf Ali Fakhrzad

BACKGROUND Hepatitis B virus (HBV) as an infectious disease that has nine genotypes (A - I) and a 'putative' genotype J. OBJECTIVES The aim of this study was to identify the rare codon clusters (RCC) in the HBV genome and to evaluate these RCCs in the HBV proteins structure. METHODS For detection of protein family accession numbers (Pfam) in HBV proteins, the UniProt database and Pfam searc...

2014
Agnel Praveen Joseph Prashant Shingate Atul K. Upadhyay Ramanathan Sowdhamini

Protein domain families are usually classified on the basis of similarity of amino acid sequences. Selection of a single representative sequence for each family provides targets for structure determination or modeling and also enables fast sequence searches to associate new members to a family. Such a selection could be challenging since some of these domain families exhibit huge variation depe...

Journal: :Bioinformatics 2012
Matthieu Chartier Francis Gaudreault Rafael Najmanovich

MOTIVATION An increasing amount of evidence from experimental and computational analysis suggests that rare codon clusters are functionally important for protein activity. Most of the studies on rare codon clusters were performed on a limited number of proteins or protein families. In the present study, we present the Sherlocc program and how it can be used for large scale protein family analys...

Journal: :Nucleic acids research 2003
Harry Boutselakis Dimitris Dimitropoulos Joël Fillon Adel Golovin Kim Henrick A. Hussain John M. C. Ionides Melford John Peter A. Keller Evgeny B. Krissinel P. McNeil Avi Naim Richard H. Newman Thomas J. Oldfield Jorge Pineda-Castillo Abdel-Krim Rachedi J. Copeland Andrey Sitnov Siamak Sobhany Antonio Suarez-Uruena Jawahar Swaminathan Mohammed Tagari John G. Tate Swen Tromm Sameer Velankar Wim F. Vranken

The E-MSD macromolecular structure relational database (http://www.ebi.ac.uk/msd) is designed to be a single access point for protein and nucleic acid structures and related information. The database is derived from Protein Data Bank (PDB) entries. Relational database technologies are used in a comprehensive cleaning procedure to ensure data uniformity across the whole archive. The search datab...

Journal: :Microbiology 2000
L Croft S A Beatson C B Whitchurch B Huang R L Blakeley J S Mattick

Using the complete genome sequence of Pseudomonas: aeruginosa PAO1, sequenced by the Pseudomonas: Genome Project (ftp://ftp.pseudomonas. com/data/pacontigs.121599), a genome database (http://pseudomonas. bit.uq.edu.au/) has been developed containing information on more than 95% of all ORFs in Pseudomonas: aeruginosa. The database is searchable by a variety of means, including gene name, positio...

Journal: :Bioinformatics 1999
Antje Krause Pierre Nicodème Erich Bornberg-Bauer Marc Rehmsmeier Martin Vingron

SUMMARY We present a Web server where the SYSTERS cluster set of the non-redundant protein database consisting of sequences from SWISS-PROT and PIR is being made available for querying and browsing. The cluster set can be searched with a new sequence using the SSMAL search tool. Additionally, a multiple alignment is generated for each cluster and annotated with domain information from the Pfam ...

Journal: :Bioinformatics 1999
Arne Elofsson Erik L. L. Sonnhammer

MOTIVATION Protein families can be defined based on structure or sequence similarity. We wanted to compare two protein family databases, one based on structural and one on sequence similarity, to investigate to what extent they overlap, the similarity in definition of corresponding families, and to create a list of large protein families with unknown structure as a resource for structural genom...

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