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Inhaltsverzeichnis
Systems Biology. - Structural Protein Interactions Predict Kinase-Inhibitor Interactions in Upregulated Pancreas Tumour Genes Expression Data. - Biochemical Pathway Analysis via Signature Mining. - Recurrent Neuro-fuzzy Network Models for Reverse Engineering Gene Regulatory Interactions. - Data Analysis and Integration. - Some Applications of Dummy Point Scatterers for Phasing in Macromolecular X-Ray Crystallography. - BioRegistry: A Structured Metadata Repository for Bioinformatic Databases. - Robust Perron Cluster Analysis for Various Applications in Computational Life Science. - Structural Biology. - Multiple Alignment of Protein Structures in Three Dimensions. - Protein Annotation by Secondary Structure Based Alignments (PASSTA). - MAPPIS: Multiple 3D Alignment of Protein-Protein Interfaces. - Genomics. - Frequent Itemsets for Genomic Profiling. - Gene Selection Through Sensitivity Analysis of Support Vector Machines. - The Breakpoint Graph in Ciliates. - Computational Proteomics. - ProSpect: An R Package for Analyzing SELDI Measurements Identifying Protein Biomarkers. - Algorithms for the Automated Absolute Quantification of Diagnostic Markers in Complex Proteomics Samples. - Detection of Protein Assemblies in Crystals. - Molecular Informatics. - Molecular Similarity Searching Using COSMO Screening Charges (COSMO/3PP). - Increasing Diversity in In-silico Screening with Target Flexibility. - Multiple Semi-flexible 3D Superposition of Drug-Sized Molecules. - Molecular Structure Determination and Simulation. - Efficiency Considerations in Solving Smoluchowski Equations for Rough Potentials. - Fast and Accurate Structural RNA Alignment by Progressive Lagrangian Optimization. - Visual Analysis of Molecular Conformations by Means of a Dynamic Density Mixture Model. - Distributed Data Mining. - Distributed BLAST in a Grid Computing Context. - Parallel Tuning of Support Vector Machine Learning Parameters for Large and Unbalanced Data Sets. - The Architecture of a Proteomic Network in the Yeast.
