To be or not to be: Predicting soluble SecAs as membrane proteins

IEEE Transactions on Nanobioscience

Volumn 6, Issue 2, 2007, Pages 168-179

  Hu, Hae Jin ^a   Holley, Jeanetta ^a   He, Jieyue ^b   Harrison, Robert W ^a   Yang, Hsiuchin ^a   Tai, Phang C ^a   Pan, Yi ^a  

^a GEORGIA STATE UNIVERSITY   (United States)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Embedded membrane segment; Position specific scoring matrix; SecA protein; Support vector machine; Transmembrane segment

Indexed keywords

BACTERIA; BIOLOGICAL MEMBRANES; ENCODING (SYMBOLS); INTEGRAL EQUATIONS; MATRIX ALGEBRA; SUPPORT VECTOR MACHINES;

EMBEDDED MEMBRANE SEGMENT; POSITION SPECIFIC SCORING MATRIX; SECA PROTEIN; TRANSMEMBRANE SEGMENT;

PROTEINS;

MEMBRANE PROTEIN; PROTEIN SECA;

ACCURACY; ARTICLE; COMPUTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER PREDICTION; LIPID BILAYER; PROTEIN ANALYSIS; PROTEIN CONFORMATION; PROTEIN DOMAIN; STRUCTURE ANALYSIS; X RAY CRYSTALLOGRAPHY;

ADENOSINE TRIPHOSPHATASES; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BACTERIAL PROTEINS; CELL MEMBRANE; COMPUTER SIMULATION; MEMBRANE TRANSPORT PROTEINS; MODELS, CHEMICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; SEQUENCE ANALYSIS, PROTEIN; SOLUBILITY;

BACTERIA (MICROORGANISMS);

EID: 34249994314     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2007.897486     Document Type: Article

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