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

View Publication

Overview
Related items

Abstract:

No abstract specified

SEEK ID: https://publications.h-its.org/publications/713

DOI: 10.1021/ci034063n

Research Groups: Molecular and Cellular Modeling

Publication type: Journal

Journal: Chem. Inf. Comput. Sci.

Citation: J. Chem. Inf. Comput. Sci. 43(5):1532-1541

Date Published: 2003

Registered Mode: imported from a bibtex file

Authors: Branimir Bertoša, Biserka Kojić-Prodić, Rebecca C. Wade, Michael Ramek, Stavroula Piperaki, Anna Tsantili-Kakoulidou, Sanja Tomić

Help

Tree Split Graph

Submitter

Christina Athanasiou

Citation

Bertoša, B., Kojić-Prodić, B., Wade, R. C., Ramek, M., Piperaki, S., Tsantili-Kakoulidou, A., & Tomić, S. (2003). 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 Sciences (Vol. 43, Issue 5, pp. 1532–1541). American Chemical Society (ACS). https://doi.org/10.1021/ci034063n

Activity

Views: 5576

Created: 6th Dec 2019 at 21:19

Last updated: 5th Mar 2024 at 21:24

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

Related items