- Poster presentation
- Open Access
Creating chemo- & bioinformatics workflows, further developments within the CDK-Taverna Project
Chemistry Central Journal volume 2, Article number: P27 (2008)
The CDK-Taverna project aims at building an open-source pipelining solution through combination of different open-source projects such as Taverna , the Chemistry Development Kit (CDK)  and Bioclipse .
Pipelining or workflow tools allow for the Lego™-like, graphical assembly of I/O modules and algorithms into a complex workflow which can be easily deployed, modified and tested without the hassle of implementing it into a monolithic application.
Current developments in CDK-Taverna focus on a soft computing framework which allows a flexible use of different methods from, for example, the WEKA  library. Here, properties of chemical substances may be calculated using descriptors from the QSAR / QSPR package of the Chemistry Development Kit (CDK).
Further, a reaction enumeration algorithm for combinatorial chemistry based on existing methods of the Chemistry Development Kit is being developed. This algorithm allows for the enumeration of a reaction given that reactants and products are provided as “Markush” structures.
Oinn T, Addis M, Ferris M, Marvin D, Senger M, Greenwood M, Carver T, Glover K, Pocock M, Wipat A, Li P: Taverna: A tool for the composition and enactment of bioinformatics workflows. Bioinformatics. 2004, 20 (17): 3045-3054. 10.1093/bioinformatics/bth361.
Steinbeck C, Han YQ, Kuhn S, Horlacher O, Luttmann E, Willighagen E: The Chemistry Development Kit (CDK): An open-source Java library for chemo- and bioinformatics. J Chem Inf Comput Sci. 2003, 43: 493-500. 10.1021/ci025584y.
Spjuth O, Helmus T, Willighagen EL, Kuhn S, Eklund V, et al: An open rich client workbench for chemo- and bioinformatics. submitted.,
Witten IH, Frank E: Data-Mining Practical machine learning tools and techniques. 2005, Morgen Kaufmann, San Francisco, 2nd Edition
Hassan M, Brown RB, Varma-O'Brien , Rogers D: Cheminformatics analysis and learning in a data pipelining environment. Molecular Diversity. 2006, 10: 283-299. 10.1007/s11030-006-9041-5.