Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition

BioMed Research International

Volumn 2016, Issue , 2016, Pages

  Chen, Xin Xin ^a   Tang, Hua ^b   Li, Wen Chao ^a   Wu, Hao ^c   Chen, Wei ^a,d   Ding, Hui ^a   Lin, Hao ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SOUTHWEST MEDICAL UNIVERSITY   (China)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

^d NORTH CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; BACTERIAL CELL WALL LYASE; BACTERIAL ENZYME; CELL ENZYME; LYASE; UNCLASSIFIED DRUG; ANTIINFECTIVE AGENT; BACTERIAL PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; BACTERIAL CELL WALL; ENZYME ANALYSIS; HYDROPHILICITY; HYDROPHOBICITY; NONHUMAN; PHYSICAL CHEMISTRY; PROTEIN FUNCTION; RANDOM FOREST; RIGIDITY; SUPERVISED MACHINE LEARNING; SUPPORT VECTOR MACHINE; ALGORITHM; ANALYSIS OF VARIANCE; ANTIBIOTIC RESISTANCE; BACTERIUM; BIOLOGY; CELL WALL; CHEMISTRY; COMPUTER SIMULATION; ENZYMOLOGY; PROTEIN DATABASE; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; AMINO ACIDS; ANALYSIS OF VARIANCE; ANTI-BACTERIAL AGENTS; BACTERIA; BACTERIAL PROTEINS; CELL WALL; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; DRUG RESISTANCE, BACTERIAL; LYASES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84982860421     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2016/1654623     Document Type: Article

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