Prediction of the relationship between the structural features of andrographolide derivatives and α-glucosidase inhibitory activity: A quantitative structure-activity relationship (QSAR) Study

被引:15
作者
Moorthy, N. S. Hari Narayana [1 ]
Ramos, Maria J. [1 ]
Fernandes, Pedro A. [1 ]
机构
[1] Univ Porto, Fac Sci, Dept Chem, REQUIMTE, Oporto, Portugal
关键词
alpha-glucosidase inhibitory activity; andrographolide; volsurf; QSAR; petitjean; CASTANOSPERMINE; DEOXYNOJIRIMYCIN; CLASSIFICATION; COMBINATION; VALIDATION; DESIGN; HIV-1;
D O I
10.3109/14756361003724760
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In order to predict the structural features responsible for alpha alpha-glucosidase inhibitory activity, a quantitative structure-activity relationship (QSAR) analysis was performed on a series of andrographolide derivatives. To determine the quantitative relationship for the statistically significant models in terms of r (> 0.8), F (99%) and Q<SU2</SU (> 0.71) values were selected. The promising results we obtained could be used to predict the structural requirements for the inhibition of alpha alpha-glucosidase activity. The models developed included: subdivided surface area, adjacency, surface volume and shape, molecular orbital package (MOPAC) and partial charge descriptors and showed a high correlation with the inhibitory activity. The descriptors used revealed that a van der Waals (vdW) surface with significant polar volume is favourable to the activity. The positive effect of the shape descriptors; PM3-LUMO and vsurf_wp7 and the negative effect of GCUT_PEOE_2 indicated that the active site may contain some nucleophilic positions that could interact with the ligand and the hydrogen acceptor and/or donor groups for hydrogen bonding with inhibitors.</.
引用
收藏
页码:78 / 87
页数:10
相关论文
共 43 条
[1]  
[Anonymous], 2002, SYST 8 0 STAT SOFTW
[2]   QSAR modelling of HIV-1 reverse transcriptase inhibition by benzoxazinones using a combination of P_VSA and pharmacophore feature descriptors [J].
Balaji, S ;
Karthikeyan, C ;
Moorthy, NSHN ;
Trivedi, P .
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2004, 14 (24) :6089-6094
[3]  
Cho DH, 2001, B KOR CHEM SOC, V22, P388
[4]   INFLUENTIAL OBSERVATIONS IN LINEAR-REGRESSION [J].
COOK, RD .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (365) :169-174
[5]   Molecular fields in quantitative structure-permeation relationships: the VolSurf approach [J].
Cruciani, C ;
Crivori, P ;
Carrupt, PA ;
Testa, B .
JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 2000, 503 (1-2) :17-30
[6]   VolSurf: a new tool for the pharmacokinetic optimization of lead compounds [J].
Cruciani, G ;
Pastor, M ;
Guba, W .
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2000, 11 :S29-S39
[7]   Studies on the novel α-glucosidase inhibitory activity and structure-activity relationships for andrographolide analogues [J].
Dai, GF ;
Xu, HW ;
Wang, JF ;
Liu, FW ;
Liu, HM .
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2006, 16 (10) :2710-2713
[8]  
Dogra Shailay K, SCRIPT COMPUTING LIN
[9]   TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION .2. [J].
DURBIN, J ;
WATSON, GS .
BIOMETRIKA, 1951, 38 (1-2) :159-178
[10]   Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs [J].
Eriksson, L ;
Jaworska, J ;
Worth, AP ;
Cronin, MTD ;
McDowell, RM ;
Gramatica, P .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2003, 111 (10) :1361-1375