Toward a general predictive QSAR model for gamma-secretase inhibitors

Molecular Diversity

Volumn 17, Issue 3, 2013, Pages 421-434

  Ajmani, Subhash ^a   Janardhan, Sridhara ^a   Viswanadhan, Vellarkad N ^a  

^a JUBILANT BIOSYS LTD   (India)

Author keywords

Drug design; Ensemble neural networks; Gamma secretase; Neural networks; QSAR; SAR

Indexed keywords

2 CYCLOHEXENONE DERIVATIVE; AMINE; ARYL SULFONAMIDE; ARYL SULFONE; BENZOBICYCLO[4.2.1]NONANE; BENZODIAZEPINE DERIVATIVE; CYCLIC SULFAMIDE; CYCLOHEXYL SULFONE; GAMMA SECRETASE INHIBITOR; SULFONAMIDE; SULFONE DERIVATIVE; UNCLASSIFIED DRUG;

ARTICLE; BACK PROPAGATION; MOLECULAR MODEL; NERVE CELL NETWORK; PARTIAL LEAST SQUARES REGRESSION; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ALZHEIMER DISEASE; AMINES; AMYLOID PRECURSOR PROTEIN SECRETASES; DRUG DESIGN; DRUG EVALUATION, PRECLINICAL; HUMANS; MODELS, MOLECULAR; PROTEASE INHIBITORS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84880828323     PISSN: 13811991     EISSN: 1573501X     Source Type: Journal    
DOI: 10.1007/s11030-013-9441-2     Document Type: Article

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