The fields of Bioinformatics and Computational Biology have been growing steadily over the last few years boosted by an increasing need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology. This calls for new algorithms and - proaches from fields such as Data Integration, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Also, new global approaches, such as Systems Biology, have been emerging replacing the reductionist view that dominated biological research in the last d- ades. Indeed, Biology is more and more a science of information needing tools from the information technology field. The interaction of researchers from diff- ent scientific fields is, more than ever, of foremost importance and we hope this event will contribute to this effort. IWPACBB'10 technical program included a total of 30 papers (26 long papers and 4 short papers) spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the technical program of the conference will certainly be diverse, challenging and will promote the interaction among computer scientists, mathematicians, biologists and other researchers. We would like to thank all the contributing authors, as well as the members of the Program Committee and the Organizing Committee for their hard and highly valuable work. Their work has helped to contribute to the success of the IWAPCBB'10 event. IWPACBB'10 wouldn't exist without your contribution.

Microarrays

Highlighting Differential Gene Expression between Two Condition Microarrays through Heterogeneous Genomic Data: Application to Lesihmania infantum Stages Comparison
An Experimental Evaluation of a Novel Stochastic Method for Iterative Class Discovery on Real Microarray Datasets
Automatic Workflow during the Reuse Phase of a CBP System Applied to Microarray Analysis
A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene Sets
Data Mining and Data Integration
Predicting the Start of Protein ?-Helices Using Machine Learning Algorithms
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups
GRASP for Instance Selection in Medical Data Sets
Expanding Gene-Based PubMed Queries
Improving Cross Mapping in Biomedical Databases
An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition
Feature Selection Using Multi-Objective Evolutionary Algorithms: Application to Cardiac SPECT Diagnosis
Phylogenetics and Sequence Analysis
Two Results on Distances for Phylogenetic Networks
Cramér Coefficient in Genome Evolution
An Application for Studying Tandem Repeats in Orthologous Genes
Accurate Selection of Models of Protein Evolution
Scalable Phylogenetics through Input Preprocessing
The Median of the Distance between Two Leaves in a Phylogenetic Tree
In Silico AFLP: An Application to Assess What Is Needed to Resolve a Phylogeny
Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy
Biomedical Applications
Structure Based Design of Potential Inhibitors of Steroid Sulfatase
Agent-Based Model of the Endocrine Pancreas and Interaction with Innate Immune System
State-of-the-ArtGenetic Programming for Predicting Human Oral Bioavailability of Drugs
Pharmacophore-Based Screening as a Clue for the Discovery of New P-Glycoprotein Inhibitors
Bioinformatics Applications
e-BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs
Applying a Metabolic Footprinting Approach to Characterize the Impact of the Recombinant Protein Production in Escherichia coli
Rbbt: A Framework for Fast Bioinformatics Development with Ruby
Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic Models
Enhancing Elementary Flux Modes Analysis Using Filtering Techniques in an Integrated Environment
Genome Visualization in Space
A Hybrid Scheme to Solve the Protein Structure Prediction Problem.