RESEARCH AND DEVELOPMENT OF BIOLOGICAL AND SMALL MOLECULE DRUGS AND OMIC ASPECTS OF RATIONAL DRUG DESIGN

Module OMIC ASPECTS OF RATIONAL DRUG DESIGN

Students will have to learn what are the scientific needs that led to the birth of the "omic" sciences, the basic scientific fields that felt the need for an application of the "omic" sciences and how they differ or which additional information gives respect to classical techniques. Furthermore genomics, transcriptomics, epigenomics, proteomics and metabolomics will be treated with hints referring to classical techniques so that the student can recall the studies carried out on these already learned during his course of study and use them as a comparison for the "homic" counterpart. ". Some fields of application will be evaluated. Furthermore, the technological bases through which these sciences can help design or rationally reposition new drugs will be learned. For this reason, hints of mass spectrometry (instrumentation and theory) and of molecular modeling (with hints of bioinformatics) will be reported. Finally, the student will be able to work on real pathological applications and deepen his knowledge through case studies.

Frontal lessons

Introduction to the omic aspects of biological science
Scientific techniques for drug design: Instrumentation and basic theory (electrophoretic, chromatographic techniques and mass spectrometry); Molecular modeling theoretical bases (outline of Bioinformatics)
Discussion of: - Genomics (theoretical basis, sequencing, technology development, genome analysis, "Shotgun" sequencing, "high-throughput sequencing, sequence and approach recombination, databases), transcriptomics (RNA Isolation, sequence expression , serial and cap analysis of gene expression, Microarrays, RNA-Seq), epigenomics (DNA methylation, histone modification, Chip-Chip and Chip-Seq, "wide" and "non-wide" approaches, accessibility test chromatoin, direct detection), proteomic (protein detection with or without antibodies, hybrid technologies) and matbolomic (separation methods, detection methods, statistical methods)
Fields of application: Genomics (functional and structural genomics, model systems), transcriptomics (diagnostics, human-apathological transcriptomics, environmental stress, gene functioning, aging), epigenomics, proteomics (proteomic interaction and protein network, protein expression, biomarkers, proteogenomics, protein identification, analysis of protein structure, analysis of post-translational modifications) and metabolomics
Pathological applications and case studies