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

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)1532-1541
JournalJournal of chemical information and computer science
Volume43
Publication statusPublished - 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.; Ramek, Michael; Piperaki, S.; Tsantili-Kakoulidou, A.; Tomic, Sanja.

In: Journal of chemical information and computer science, Vol. 43, 2003, p. 1532-1541.

Research output: Contribution to journalArticleResearchpeer-review

Bertosa, Branimir ; Kojic-Prodic, Biserka ; Wade, Rebecca C. ; Ramek, Michael ; Piperaki, S. ; Tsantili-Kakoulidou, A. ; Tomic, Sanja. / 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. In: Journal of chemical information and computer science. 2003 ; Vol. 43. pp. 1532-1541.
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AU - Bertosa, Branimir

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AU - Ramek, Michael

AU - Piperaki, S.

AU - Tsantili-Kakoulidou, A.

AU - Tomic, Sanja

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