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

  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},
  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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  • Kawsher Rahman
  • Biology
    Malaysian Journal of Medical and Biological Research
  • 2021
When the preclinical biomarkers are effectively translated into the clinic, the way will pave well to an equally effective implementation of personalized therapies throughout complicated illness environments to become beneficial to patients, healthcare service providers and the industry of bio-pharma.



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