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BioV Suite--a collection of programs for the study of transport protein evolution.
Reddy, Vamsee S; Saier, Milton H.
Afiliação
  • Reddy VS; Division of Biological Sciences, Department of Molecular Biology, University of California at San Diego, La Jolla, CA, USA.
FEBS J ; 279(11): 2036-46, 2012 Jun.
Article em En | MEDLINE | ID: mdl-22568782
The Bio-V Suite is a collection of Python scripts designed specifically for bioinformatic research regarding transport protein evolution. The Bio-V Suite contains nine powerful programs for Unix-based environments, each of which can be run as a standalone tool or be accessed in a programmatic manner. These programs and their functions are as follows. The transmembrane alpha-helical statistical prediction tool (TMStats) generates topological statistics for transport proteins. The Global Sequence Alignment Tool (GSAT) performs shuffle-based binary alignments and is fully scalable. It can cross-compare two FASTA files or individual sequences. Protocol1 performs remote PSI-Blast searches and filters redundant/similar sequences and annotates them. Protocol2 finds homologues between FASTA lists and generates graphical reports. The Targeted Smith-Waterman Search (TSSearch) uses a rapid search algorithm to find distant homologues in FASTA files in a heuristic manner. SSearch is the exhaustive version of TSSearch. Genome-Blast (GBlast) will identify potential transport proteins in any genome/proteome file or find similar transport protein homologues between two different genomes/proteomes before generating a graphical report. AncientRep (AR) will find putative transmembrane repeat units using a list of homologues. DefineFamily (DF) will generate a FASTA list to represent an entire Transporter Classification family. These nine programs are tabulated with descriptions of their capabilities in Table 1. [Table: see text].
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas de Transporte / Biologia Computacional Idioma: En Ano de publicação: 2012 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas de Transporte / Biologia Computacional Idioma: En Ano de publicação: 2012 Tipo de documento: Article