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Molecular Modeling and Prediction of Bioactivity pp 73–81Cite as

Handling Information from 3D Grid Maps for QSAR Studies

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Abstract

3D-QSAR is an interesting and expanding discipline1–2. Nowadays software for 3D-QSAR methodologies and efficient algorithms to describe molecules and to predict biological activity are more accessible and easy to use3–5. Progress were done on the numerical description of the biological systems which now are more precise and detailed6.

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Author information

Authors and Affiliations

  1. Laboratory of Chemometrics, University of Perugia, 06123, Perugia, Italy

    Gabriele Cruciani, Manuel Pastor & Sergio Clementi

Authors
  1. Gabriele Cruciani
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  2. Manuel Pastor
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  3. Sergio Clementi
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Editor information

Editors and Affiliations

  1. H. Lundbeck A/S, Valby, Denmark

    Klaus Gundertofte

  2. Royal Danish School of Pharmacy, Copenhagen, Denmark

    Flemming Steen Jørgensen

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Cruciani, G., Pastor, M., Clementi, S. (2000). Handling Information from 3D Grid Maps for QSAR Studies. In: Gundertofte, K., Jørgensen, F.S. (eds) Molecular Modeling and Prediction of Bioactivity. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4141-7_7

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  • DOI: https://doi.org/10.1007/978-1-4615-4141-7_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6857-1

  • Online ISBN: 978-1-4615-4141-7

  • eBook Packages: Springer Book Archive

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