Prediction of antibiotic resistance proteins from sequence-derived properties irrespective of sequence similarity

International Journal of Antimicrobial Agents

Volumn 32, Issue 3, 2008, Pages 221-226

  Zhang, H L ^a   Lin, H H ^a   Tao, L ^b   Ma, X H ^a   Dai, J L ^c   Jia, J ^a   Cao, Z W ^b,d  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^c FUDAN UNIVERSITY   (China)

^d TONGJI UNIVERSITY   (China)

Author keywords

Antibiotic resistance; Physicochemical property; Support vector machine

Indexed keywords

ACRIDINE RESISTANCE PROTEIN; ACYLTRANSFERASE; ALBICIDIN RESISTANCE PROTEIN; ANTIBIOTIC RESISTANCE PROTEIN; BACITRACIN TRANSPORT PERMEASE PROTEIN; BLASTICIDIN S; CURROMYCIN RESISTANCE PROTEIN; HYGROMYCIN B KINASE; MITOMYCIN RESISTANCE PROTEIN; PENTAMIDINE RESISTANCE FACTOR; PROTEIN; TUNICAMYCIN RESISTANCE PROTEIN; UNCLASSIFIED DRUG; VANZ PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; ESCHERICHIA COLI; GENETIC SCREENING; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; STAPHYLOCOCCUS AUREUS; SUPPORT VECTOR MACHINE;

AMINO ACID SEQUENCE; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DRUG RESISTANCE, BACTERIAL; ESCHERICHIA COLI; GENOME, BACTERIAL; HUMANS; MOLECULAR SEQUENCE DATA; PREDICTIVE VALUE OF TESTS; SEQUENCE ANALYSIS, PROTEIN; STAPHYLOCOCCUS AUREUS;

EID: 49749102371     PISSN: 09248579     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijantimicag.2008.03.006     Document Type: Article

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