MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition
02: OMICs, Biotechnology, Bioinformatics, and Biomedical Engineering
This section covers experimental and computational methods in Life Sciences in general:
OMICS, Molecular Biology, Biotechnology, Bioinformatics, Biomedical Engineering, and related topics.
Experimental and theoretical methods applied to drug discovery, biomarkers and target validation, vaccine design, in biosciences. In experimental studies: Pharmacological assays, Toxicity and Cytotoxicity studies, Molecular Biology and Biotechnology. Proteomics, Genomics, and Metabolomics (OMICS methods) like Sequencing, Cloning, DNA microarrays, and Mass Spectroscopy in Clinical Proteomics.
The section also include the use of computational techniques in the previous fields. Some examples are: Molecular Mechanics and Molecular Dynamics (MM/MD) for Drug-protein Docking studies, Quantitative Structure-Activity / Toxicity Relationships (QSAR / QSTR) models. Bioinformatics analysis of Disease Biomarkers and Computational vaccine design (Alignment and Alignment-free techniques). Determination of the 3D proteins structure using NMR and X-ray techniques. Experimental and computational study of RNA (Rnomics), secondary RNA structure prediction, miRNA biomarkers. As well as, Computational Systems Biology, Complex Networks Analysis for OMICS, Networks Analysis in Ecology, Mathematical Biology, etc.
The section also includes: Biomedical Engineering, and Medical Informatics.
Biomedical research, experimental and/or computational medical diagnostic tools in cancer research, neurosciences, clinic and biomedical engineering. Including, but not limited to, EEG and structural NMR in clinical diagnosis in neurology and brain research. EEG, fNMRI, microscopy, tomography, study for tissue connectivity analysis, including the use of experimental techniques and complex networks computational analysis in neurosciences, bone tissue connectivity, vascular system connectivity, etc.