Lazy learning
An Introduction to Chemoinformatics
An Introduction to Chemoinformatics
Distributed data mining on agent grid: issues, platform and development toolkit
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Distributed feature extraction in a p2p setting: a case study
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Mining of the chemical information in GRID environment
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Model Screening: How to Choose the Best Fitting Regression Model?
Neural Information Processing
Cooperative caching for grid-enabled OLAP
International Journal of Grid and Utility Computing
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
A versatile execution management system for next-generation UNICORE grids
Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing
Application driven grid developments in the OpenMolGRID project
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
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Molecular engineering is concerned with the design and manufacturing of novel chemical compounds and materials. Molecular engineering for drug development is complex, time-consuming, and expensive. To lower costs and improve the overall drug development process, information technology (IT) is increasingly employed in the molecular engineering phase. Key IT components for molecular engineering include public and proprietary databases containing information on molecular structures and properties and computational models capable of calculating global properties of molecular structures based on structural and other descriptors characterizing the compound. Recently data mining and data warehousing have become critical tools in the molecular engineering process. Increasingly, some of the computational resources--such as data and information bases, computational models, compute power to execute these models, specialized data mining algorithms--required to develop a new compound are not available locally, but accessible via the global computing network infrastructure. This paper describes a Grid-based approach to molecular engineering. Focus of this paper is placed on the data warehousing of the OpenMolGRID system.