Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification.