Abstract

Abstract Summary: STRAP is a comfortable and extensible tool for the generation and refinement of multiple alignments of protein sequences. Various sequence ordered input file formats are supported. These are the SwissProt-,GenBank-, EMBL-, DSSP- PDB-, MSF-, and plain ASCII text format. The special feature of STRAP is the simple visualization of spatial distances of \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(C_{{\alpha}}\) \end{document}-atoms within the alignment. Thus structural information can easily be incorporated into the sequence alignment and can guide the alignment process in cases of low sequence similarities. Further STRAP is able to manage huge alignments comprising a lot of sequences. The protein viewers and modeling programs INSIGHT, RASMOL and WEBMOL are embedded into STRAP. STRAP is written in Java. The well-documented source code can be adapted easily to special requirements. STRAP may become the basis for complex alignment tools in the future. Availability: The tool is available to academic institutions at http://www.charite.de/bioinf. The source code can be requested via e-mail. Contact: christoph.gille@charite.de * To whom correspondence should be addressed.

Keywords

ASCIIComputer scienceGenBankProgramming languageSequence (biology)Source codeSequence alignmentJavaComputer graphics (images)BundleVisualizationCode (set theory)Information retrievalData miningSet (abstract data type)BiologyPeptide sequence

MeSH Terms

Cysteine EndopeptidasesDatabasesFactualMultienzyme ComplexesProteasome Endopeptidase ComplexProteinsSequence AlignmentSoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2001
Type
article
Volume
17
Issue
4
Pages
377-378
Citations
211
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

211
OpenAlex
11
Influential
177
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Cite This

Christoph Gille, Cornelius Frömmel (2001). STRAP: editor for STRuctural Alignments of Proteins. Bioinformatics , 17 (4) , 377-378. https://doi.org/10.1093/bioinformatics/17.4.377

Identifiers

DOI
10.1093/bioinformatics/17.4.377
PMID
11301311

Data Quality

Data completeness: 86%