Home » MOL2NET-03 » Section 02: OMICs, Biotechnology, Bioinformatics, Neurosciences, and Biomedical Engineering

MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition

This conference is organized by Prof. Humbert González-Díaz. Sciforum is not responsible for the content posted on this website.

02: OMICs, Biotechnology, Bioinformatics, Neurosciences, and Biomedical Engineering

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.

See, as example, the presentations of the same section on last editions:

MOL2NET 2016, Section 02 (OMICS, Biotech, Bioinfo, Biomed Eng)

MOL2NET 2015, Section B (Med Chem, Omics, Biosciences)

List of Accepted Abstracts (1)
Acidic and Alkaline Enzymes Discrimination using Split Amino Acid Composition inheriting Chou’s Pseudo Amino acid composition incorporating Probabilistic Neural Network Model