iLOGP: A Simple, Robust, and Efficient Description of n-Octanol/Water Partition Coefficient for Drug Design Using the GB/SA Approach

By Antoine Daina, Olivier Michielin, Vincent Zoete. Journal of Chemical Information and Modeling, 2014

853 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/5b8f3e14d8c6885fb5a0d7d407f37227601d3c37

Citations in the corpus

• The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015, neutral): “As an example, the development of iLOGP (65), an in-house n-octanol/water partition coefficient (log P) estimator, required collecting more than 17,500 small molecules along with their experimental log P values from several publicly available databases.”