Literature DB >> 22568782

BioV Suite--a collection of programs for the study of transport protein evolution.

Vamsee S Reddy1, Milton H Saier.   

Abstract

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].
© 2012 The Authors Journal compilation © 2012 FEBS.

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Year:  2012        PMID: 22568782      PMCID: PMC3978091          DOI: 10.1111/j.1742-4658.2012.08590.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  15 in total

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Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

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10.  Transport proteins promoting Escherichia coli pathogenesis.

Authors:  Fengyi Tang; Milton H Saier
Journal:  Microb Pathog       Date:  2014-04-18       Impact factor: 3.738

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