Predicting substrates of the human breast cancer resistance protein using a support vector machine method

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Hazai, Eszter ^a   Hazai, Istvan ^a   Ragueneau Majlessi, Isabelle ^b   Chung, Sophie P ^b   Bikadi, Zsolt ^a   Mao, Qingcheng ^b  

^a Virtua Drug Ltd   (Hungary)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

ABC transporter; ABCG2; ATP binding cassette; BCRP; Breast cancer resistance protein; in silico prediction; Substrate; Support vector machine; SVM

Indexed keywords

ABC TRANSPORTER; ABCG2; ATP-BINDING CASSETTE; BCRP; BREAST CANCER RESISTANCE PROTEINS; IN-SILICO; SVM;

DISEASES; FORECASTING; MATHEMATICAL MODELS; PROTEINS; SUPPORT VECTOR MACHINES; WORLD WIDE WEB;

SUBSTRATES;

ABC TRANSPORTER; ABCG2 PROTEIN, HUMAN; TUMOR PROTEIN;

ARTICLE; BIOLOGICAL MODEL; BREAST TUMOR; DRUG RESISTANCE; DRUG SCREENING; ENZYME SPECIFICITY; HUMAN; METABOLISM; PHYSIOLOGY; SUPPORT VECTOR MACHINE;

ATP-BINDING CASSETTE TRANSPORTERS; BREAST NEOPLASMS; DRUG EVALUATION; DRUG RESISTANCE, NEOPLASM; HUMANS; MODELS, BIOLOGICAL; NEOPLASM PROTEINS; SUBSTRATE SPECIFICITY; SUPPORT VECTOR MACHINES;

MLCS; MLOWN;

EID: 84876160043     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-130     Document Type: Article

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