The tool has been well received by the community, complementing other approaches. Now, the reason why I blog about these papers now, is that the tool uses the CDK for the cheminformatics parts, which I find really cool. In fact, the project has resulted in good feedback on the CDK. In fact, the project received further funding creating a short-term open position to continue research on enzymatic reactivity of molecules in the cytochrome P450 family, as outlined below.
So, this peer-review is a bit more on the impact of the CDK and SMARTCyp on the academic landscape, than on the content.of the paper.
Patrik Rydberg wrote on the CDK LinkedIn group and the CDK user mailing list about an open post-doc position where CDK expertise is welcomed:
I'm seeking candidates for a post-doc position in applied cheminformatics at the University of Copenhagen. We are working on drug metabolism prediction models, and our results are as far as possible made into open source software based on the CDK. The group has previously developed the SMARTCyp site-of-metabolism prediction software which is based on CDK, and this project aims to extend the scope of our cytochrome P450 project.
Employer: department of medicinal chemistry, faculty of pharmaceutical sciences, University of Copenhagen
Location: Copenhagen, Denmark
Duration: 7 months, starting january 2012
Project: drug metabolism by cytochromes P450
Machine learning methods
Bonus for experience in java programming using the Chemistry Development Kit (CDK), experience in development of ligand based virtual screening methods, and experience of work on the cytochrome P450 enzyme family.
Rydberg, P., Gloriam, D., Zaretzki, J., Breneman, C., & Olsen, L. (2010). SMARTCyp: A 2D Method for Prediction of Cytochrome P450-Mediated Drug Metabolism ACS Medicinal Chemistry Letters, 1 (3), 96-100 DOI: 10.1021/ml100016x