Application of image moments in MIA‐QSAR

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EarlyView Article

  • Published: Nov 10, 2017
  • Author: Min Li Xu, Xue Wang, Bao Qiong Li, Hong Lin Zhai, Shao Hua Lu


Owing to the presence of some significant chemical information, the conventional images of molecular structures have been used in the studies of quantitative structure‐activity relationship by multivariate image analysis (MIA‐QSAR). In this contribution, we suggest that the Tchebichef moments (TMs) calculated directly from the grayscale images of molecular structures are used as molecular descriptors to build linear QSAR models by stepwise regression. The proposed approach was applied to QSAR research on a series of HIV‐1 non‐nucleoside reverse transcriptase inhibitors, and satisfactory results were obtained. Compared with several published methods, the results indicate that the TM method possesses higher accuracy and reliability. The TMs effectively decompose the image information of molecular structures at different levels without any pretreatment owing its very favorable multiresolution, holographic, and inherent invariance properties. Our study successfully extends the application of image moments to MIA‐QSAR research.

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