物理化学学报
物理化學學報
물이화학학보
ACTA PHYSICO-CHIMICA SINICA
2015年
5期
893-898
,共6页
钱海城%KANWAL Shahid%贾青竹%王强%计惠芬%朱志臣%夏淑倩%马沛生
錢海城%KANWAL Shahid%賈青竹%王彊%計惠芬%硃誌臣%夏淑倩%馬沛生
전해성%KANWAL Shahid%가청죽%왕강%계혜분%주지신%하숙천%마패생
β-环糊精%范数指数%络合物稳定常数%从头计算法%构效关系
β-環糊精%範數指數%絡閤物穩定常數%從頭計算法%構效關繫
β-배호정%범수지수%락합물은정상수%종두계산법%구효관계
β-cyclodextrin%Norm index%Complex stability constant%Ab initio method%Structure-activity relationship
环糊精在药剂学领域中是一类重要的包结化合物,其中络合物稳定常数(logK)是一个关键评价参数.本研究基于扩展距离矩阵提出了一组范数指数,利用多种计算方法构建了系列定量构效关系模型,并对233种化合物与β-环糊精的logK进行了计算预测.计算结果表明基于扩展距离矩阵范数建立的系列定量构效关系模型均能较好预测logK;其中利用最小二乘-支撑向量机方法建立的模型预测效果最好,其预测结果的相关性系数R和留一、留十交叉验证相关性系数(QLOO,QLTO)分别为0.9587、0.8775和0.8732.与文献方法对比结果表明,本工作的预测结果在准确性和稳定性上有着显著的改善,且能分辨同分异构体.本课题组前期研究成果和本项工作表明基于范数指数构建的定量构效关系不仅适用于计算化合物的基础物理化学性质,还能应用到化学反应过程相关常数的准确预测.
環糊精在藥劑學領域中是一類重要的包結化閤物,其中絡閤物穩定常數(logK)是一箇關鍵評價參數.本研究基于擴展距離矩陣提齣瞭一組範數指數,利用多種計算方法構建瞭繫列定量構效關繫模型,併對233種化閤物與β-環糊精的logK進行瞭計算預測.計算結果錶明基于擴展距離矩陣範數建立的繫列定量構效關繫模型均能較好預測logK;其中利用最小二乘-支撐嚮量機方法建立的模型預測效果最好,其預測結果的相關性繫數R和留一、留十交扠驗證相關性繫數(QLOO,QLTO)分彆為0.9587、0.8775和0.8732.與文獻方法對比結果錶明,本工作的預測結果在準確性和穩定性上有著顯著的改善,且能分辨同分異構體.本課題組前期研究成果和本項工作錶明基于範數指數構建的定量構效關繫不僅適用于計算化閤物的基礎物理化學性質,還能應用到化學反應過程相關常數的準確預測.
배호정재약제학영역중시일류중요적포결화합물,기중락합물은정상수(logK)시일개관건평개삼수.본연구기우확전거리구진제출료일조범수지수,이용다충계산방법구건료계렬정량구효관계모형,병대233충화합물여β-배호정적logK진행료계산예측.계산결과표명기우확전거리구진범수건립적계렬정량구효관계모형균능교호예측logK;기중이용최소이승-지탱향량궤방법건립적모형예측효과최호,기예측결과적상관성계수R화류일、류십교차험증상관성계수(QLOO,QLTO)분별위0.9587、0.8775화0.8732.여문헌방법대비결과표명,본공작적예측결과재준학성화은정성상유착현저적개선,차능분변동분이구체.본과제조전기연구성과화본항공작표명기우범수지수구건적정량구효관계불부괄용우계산화합물적기출물이화학성질,환능응용도화학반응과정상관상수적준학예측.
Cyclodextrins (CDs) are widely used in the pharmaceutical industry, and the complex stability constant (logK) is an important evaluation target for CD inclusion complexes. In this work, the structures of the inclusion complexes of 233 compounds with β-cyclodextrin (β-CD) were investigated by the quantitative structure-activity relationship (QSAR) method based on a new set of norm indexes proposed by our group. Here, using several arithmetic approaches, a set of QSAR models based on these new norm indexes were developed to predict the logK values of theβ-CD complexes. The results showed that al of the norm index-based-QSAR models could predict logK wel , and the best QSAR model was obtained using the least-squares support vector machine method with correlation coefficient (R), leave-one/ten-out validation correlation co-efficient (QLOO and QLTO) values of 0.9587, 0.8775, and 0.8732, respectively. Comparison with other methods suggested that our method performed better for predicting the logK values ofβ-CD complexes in terms of both accuracy and stability, especial y for the discrimination of isomer structures. The results of this and previous studies demonstrate that it might be possible to use the norm index-based model to predict not only the basic physical-chemical properties, but also the chemical reaction-related constants of organic compounds.