Identification of novel families of membrane proteins from the model plant Arabidopsis thaliana

Bioinformatics

Volumn 17, Issue 6, 2001, Pages 560-563

  Ward, J M ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ION CHANNEL; MEMBRANE PROTEIN; VEGETABLE PROTEIN;

AMINO ACID SEQUENCE; ARABIDOPSIS; ARTICLE; AUTOMATION; CLUSTER ANALYSIS; CONTROLLED STUDY; GENOME; HYDROPHOBICITY; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DOMAIN; PROTEIN FAMILY; SEQUENCE HOMOLOGY;

EID: 0034954896     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/17.6.560     Document Type: Article

References (14)

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4. Algorithms for the longest common subsequence problem
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6. Optimal alignments in linear space
7. A general method applicable to the search for similarities in the amino-acid sequence of two proteins
8. Classification of all putative permeases and other membrane plurispanners of the major facilitator superfamily encoded by the complete genome of Saccharomyces cerevisiae
9. Consensus predictions of membrane protein topology
10. Comparative genomics of plant chromosomes
11. Unified inventory of established and putative transporters encoded within the complete genome of Saccharomyces cerevisiae
12. The major facilitator superfamily
13. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, positions specific gap penalties and weight matrix choice
14. Principles governing amino acid composition of integral membrane proteins: Application to topology prediction