Abstract:
:To design ARC-111 analogues with improved efficiency, we constructed the QSAR of 22 ARC-111 analogues with RPMI8402 tumor cells. First, the optimized support vector regression (SVR) model based on the literature descriptors and the worst descriptor elimination multi-roundly (WDEM) method had similar generalization as the artificial neural network (ANN) model for the test set. Secondly, seven and 11 more effective descriptors out of 2,923 features were selected by the high-dimensional descriptor selection nonlinearly (HDSN) and WDEM method, and the SVR models (SVR3 and SVR4) with these selected descriptors resulted in better evaluation measures and a more precise predictive power for the test set. The interpretability system of better SVR models was further established. Our analysis offers some useful parameters for designing ARC-111 analogues with enhanced antitumor activity.
journal_name
Int J Mol Scijournal_title
International journal of molecular sciencesauthors
Zhou W,Dai Z,Chen Y,Wang H,Yuan Zdoi
10.3390/ijms13011161subject
Has Abstractpub_date
2012-01-01 00:00:00pages
1161-72issue
1issn
1422-0067pii
ijms-13-01161journal_volume
13pub_type
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