Data Mining Techniques for the Life Sciences

 EBI data resources.- IMEx databases: displaying molecular interactions into a single, standards-compliant dataset.- Protein Three-dimensional Structure Databases.- Predicting protein conformational disorder and disordered binding sites.- Profiles of natural and designed protein-like sequences effectively bridge protein sequence gaps: Implications in distant homology detection.- Turning failures into applications: the problem of protein ΔΔG prediction.- Dissecting the genome for drug response prediction.- Prediction of the effect of pH on the aggregation and conditional folding of intrinsically disordered proteins with SolupHred and DispHred.- Extracting the dynamic motion of proteins using Normal Mode Analysis.- Pre- and Post- Publication Verification for Reproducible Data Mining in Macromolecular Crystallography.- Soft Statistical Mechanics for Biology.- Uses and abuses of the atomic displacement parameters in structural biology.- Optimizing the Parametrization of Homologue Classification in the Pan-Genome Computation for a Bacterial Species: Case Study Streptococcus pyogenes.- Computational pipeline for rational drug combination screening in patient-derived cells.- Deep Mining from Omics Data.