Pharmacophore-similarity-based QSAR (PS-QSAR) for group-specific biological activity predictions

@article{PrasanthKumar2015Pharmacophoresimilaritybased,
  title={Pharmacophore-similarity-based QSAR (PS-QSAR) for group-specific biological activity predictions},
  author={Sivakumar Prasanth Kumar and Yogesh T. Jasrai and Himanshu A. Pandya and Rakesh M. Rawal},
  journal={Journal of Biomolecular Structure and Dynamics},
  year={2015},
  volume={33},
  pages={56 - 69}
}
Recent technological breakthroughs in medicinal chemistry arena had ameliorated the perspectives of quantitative structure–activity relationship (QSAR) methods. In this direction, we developed a group-based QSAR method based on pharmacophore-similarity concept which takes into account the 2D topological pharmacophoric descriptors and predicts the group-specific biological activities. This activity prediction may assist the contribution of certain pharmacophore features encoded by respective… 

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