SCOPUS 정보 검색 플랫폼

Volumn 17, Issue 9, 2011, Pages 2133-2141

Brainstorming: Weighted voting prediction of inhibitors for protein targets

Author keywords

Ligand classification; Machine learning; MDL Drug Data Report; Protein target specificity; Random forest; Support vector machine

Indexed keywords

CYCLOOXYGENASE 2; CYCLOOXYGENASE 2 INHIBITOR; DIHYDROFOLATE REDUCTASE; DIHYDROFOLATE REDUCTASE INHIBITOR; ESTROGEN RECEPTOR; ESTROGEN RECEPTOR ANTAGONIST; HORMONE RECEPTOR BLOCKING AGENT; RNA DIRECTED DNA POLYMERASE; RNA DIRECTED DNA POLYMERASE INHIBITOR; THROMBIN; THROMBIN INHIBITOR; UNCLASSIFIED DRUG;

ACCURACY; ARTIFICIAL NEURAL NETWORK; BAYESIAN LEARNING; BRAINSTORMING METHOD; CONFERENCE PAPER; CONTROLLED STUDY; DECISION TREE; DRUG TARGETING; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; KERNEL METHOD; LEARNING ALGORITHM; MACHINE LEARNING; MULTIPLE LINEAR REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROTEIN TARGETING; RANDOM FOREST; SUPPORT VECTOR MACHINE; WEIGHTED VOTING PREDICTION;

ALGORITHMS; ANTITHROMBINS; BAYES THEOREM; COMPUTER SIMULATION; CYCLOOXYGENASE 2 INHIBITORS; DECISION TREES; DRUG DISCOVERY; ESTROGEN ANTAGONISTS; FOLIC ACID ANTAGONISTS; HIV REVERSE TRANSCRIPTASE; HUMANS; LINEAR MODELS; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; PROTEINS; SMALL MOLECULE LIBRARIES; SUPPORT VECTOR MACHINES;

EID: 80255135618 PISSN: 16102940 EISSN: 09485023 Source Type: Journal
DOI: 10.1007/s00894-010-0854-x Document Type: Conference Paper

Times cited : (17)

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