Support vector machine based prediction of P. falciparum proteasome inhibitors and development of focused library by molecular docking

Combinatorial Chemistry and High Throughput Screening

Volumn 14, Issue 10, 2011, Pages 898-907

  Subramaniam, Sangeetha ^a   Mehrotra, Monica ^b   Gupta, Dinesh ^a  

^a INTERNATIONAL CENTRE FOR GENETIC ENGINEERING AND BIOTECHNOLOGY ICGEB   (India)

^b JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

20S proteasome subunit; Molecular docking; Plasmodium falciparum; Support vector machine (SVM); Virtual screening

Indexed keywords

ANTIMALARIAL AGENT; PROTEASOME; PROTEASOME INHIBITOR; UBIQUITIN;

ACCURACY; ANTIPROTOZOAL ACTIVITY; ARTICLE; BINDING AFFINITY; ENZYME ACTIVE SITE; ENZYME SUBSTRATE COMPLEX; EUKARYOTIC CELL; MOLECULAR DOCKING; NONHUMAN; PLASMODIUM FALCIPARUM; PRIORITY JOURNAL; PROTEIN DEGRADATION; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

AMINO ACID SEQUENCE; ANTIMALARIALS; DRUG DESIGN; HUMANS; MALARIA, FALCIPARUM; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PLASMODIUM FALCIPARUM; PROTEASOME ENDOPEPTIDASE COMPLEX; PROTEIN BINDING; PROTEIN SUBUNITS; SUPPORT VECTOR MACHINES;

EUKARYOTA; PLASMODIUM FALCIPARUM;

EID: 80054948958     PISSN: 13862073     EISSN: 18755402     Source Type: Journal    
DOI: 10.2174/138620711797537058     Document Type: Article

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