A New Approach To Predict the
Biological Activity of Molecules Based on Similarity of Their
Interaction Fields and the logP and logD Values: Application to Auxins

Branimir Bertosa; Biserka Kojic-Prodic; Rebecca C. Wade; Michael Ramek; S. Piperaki; A. Tsantili-Kakoulidou; Sanja Tomic

A New Approach To Predict the Biological Activity of Molecules Based on Similarity of Their Interaction Fields and the logP and logD Values: Application to Auxins

Branimir Bertosa, Biserka Kojic-Prodic, Rebecca C. Wade, Michael Ramek, S. Piperaki, A. Tsantili-Kakoulidou, Sanja Tomic

Institute of Physical and Theoretical Chemistry (6350)

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1532-1541
Journal	Journal of Chemical Information and Computer Sciences
Volume	43
Publication status	Published - 2003

Cite this

A New Approach To Predict the Biological Activity of Molecules Based on Similarity of Their Interaction Fields and the logP and logD Values: Application to Auxins. / Bertosa, Branimir; Kojic-Prodic, Biserka; Wade, Rebecca C. et al.

In: Journal of Chemical Information and Computer Sciences, Vol. 43, 2003, p. 1532-1541.

Research output: Contribution to journal › Article › peer-review

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AU - Bertosa, Branimir

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AU - Wade, Rebecca C.

AU - Ramek, Michael

AU - Piperaki, S.

AU - Tsantili-Kakoulidou, A.

AU - Tomic, Sanja

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A New Approach To Predict the Biological Activity of Molecules Based on Similarity of Their Interaction Fields and the logP and logD Values: Application to Auxins

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Quantum Chemistry

Quantum Chemistry: Auxins

Cite this

A New Approach To Predict the Biological Activity of Molecules Based on Similarity of Their Interaction Fields and the logP and logD Values: Application to Auxins

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Projects

Quantum Chemistry

Quantum Chemistry: Auxins

Cite this