Call for Abstract
16th International Conference on Metabolomics & Systems Biology, will be organized around the theme “Novel Trends in Metabolomics and Systems Biology”
eurometabolomics-2020 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in eurometabolomics-2020
Submit your abstract to any of the mentioned tracks.
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Metabolomics is the systematic study of the metabolome, the unique biochemical fingerprint of all cellular processes. It is an Omics technology that allows simultaneous, global, and comprehensive characterization of small molecules in a biological system. It is the large-scale study of small molecules within a mass range of 50 – 1500 Daltons (Da), commonly known as metabolites, within cells, bio fluids, tissues or organisms. These metabolites within biological samples under given genetic, nutritional or environmental conditions are known as .
- Track 1-1Metabolite identification and analysis
- Track 1-2Metabolomics databases
- Track 1-3Software workflow for metabolomics: Targeted and non targeted screening and validation
- Track 1-4Metabolic network simulation
Systems biology is the study of biological systems at a cellular, molecular and organism level, as an integrated and interacting network of genes, proteins and biochemical reactions which give rise to life. It will become main stream in biological sciences this century. It can be used to systematically at all levels, from molecules to entire systems and its integration into quantitative models to gain knowledge in order to make accurate simulation of biological processes possible. The technologies such as genomics, bioinformatics, proteomics, mathematical and computational models are used for predicting dynamical behaviour and quantitative measurements of the behaviour.
- Track 2-1Systems biology methods to characterize biological systems
- Track 2-2Multicellular systems biology
- Track 2-3Quantitative systems pharmacology
- Track 2-4Mathematical biology
- Track 2-5Pathways and networks
- Track 2-6Modelling and simulation tools in systems biology
Metabolomics along with systems biology can be used to identify endogenous metabolites that modify protein expression. The main aim of Omics technologies is to reveal unexpected properties of biological systems by their nature. On behalf of metabolomics, gas and liquid chromatography coupled to mass spectrometry are well suited for coping with high sample numbers in reliable measurement times with respect to both technical accuracy and quantitation of small molecular weight metabolites. This prospective is a prerequisite for the analysis of dynamic systems. Accordingly, metabolomics is a key technology for systems biology.
Synthetic biology main purposes is to create novel biological functions and systems by combining biology with engineering. The workflow of the development of novel biological functions with is ideally linear which will be attainable with the quantitative engineering approach, high-quality predictive models, and libraries of well-characterized parts. In particular phases of synthetic biology workflow different types of , mathematical representations of metabolism and its components, and metabolites, are useful.
- Track 4-1Genome-scale modelling & flux balance analysis
- Track 4-2In silico design of novel pathways
- Track 4-3Signal transduction
- Track 4-4Architecture of human metabolome
- Track 4-5Computational data analysis in metabolomics
- Track 4-6Metabolic flux analysis and metabolic models
Computational Biology is a rapidly emerging field, at the interface of computer science, arithmetic, physics and biology to study, analyse and understand complex biological systems by taking a corresponding integrated systems view using computational methodologies. The recent advances in computational methodologies are high throughput techniques and computational power. Computational systems biology provides a point of merging for genomics, proteomics, metabolomics and computational modelling and plays a key role in the fast progression of the evolving field by the outstanding developments in biology and computer science.
- Track 5-1Machine learning and pattern recognition
- Track 5-2Knowledge discovery and data mining techniques
- Track 5-3Bioinformatics and cheminformatics
- Track 5-4Sequence motifs and alignments
- Track 5-5Hidden markov model
- Track 5-6Sequencing algorithms
- Track 5-7Stochastic modelling
Plant metabolomics is a recent research field that has gained increasing interest in the past few years and is applied for sub atomic level of the total metabolite and metabolome of plants under particular conditions. Metabolomics is applied for a better understanding the relation between genes and the biochemical composition of a plant tissue in response to its environment conditions and this information can be further used to assess gene function. The environmental metabolomics is use of metabolomics strategies to investigate the connections of life forms with their surroundings.
- Track 6-1Metabolomics for exposomics
- Track 6-2Metabolomics for exposomics
- Track 6-3Toxicometabolomics
- Track 6-4Microbiome-related metabolome
- Track 6-5Environmental metabolome
- Track 6-6Metabolomics of genetically modified crops
- Track 6-7Nutrigenomics and plant functional genomics
Diverse analytical techniques are needed to achieve higher coverage of metabolites present within a biological system, which consists of a mass of molecules, having a variety of physical and chemical properties and existing as a dynamic range in biological samples. The application of mass spectrometry in metabolomics has increased exponentially since the discovery and development of electrospray ionization and matrix-assisted laser desorption ionization techniques.
Metabolomics Analytical approaches for can be categorized largely into two discrete groups targeted or untargeted. These approaches can further be segmented as metabolic profiling, using an untargeted approach or metabolite identification and quantitation using a targeted approach. A diverse terminology for the definition of metabolic approaches has been used by various metabolomic research areas.
- Track 10-1Targeted Metabolomics
- Track 10-2Untargeted Metabolomics
- Track 11-1Metabolic profiling
- Track 11-2Metabolic Fingerprinting
- Track 11-3Nuclear magnetic resonance (NMR)
- Track 11-4Gas chromatography–mass spectrometry (GC–MS)
- Track 11-5Liquid chromatography–mass spectrometry (LC–MS)
- Track 11-6Capillary Electrophoresis – Mass Spectrometry
- Track 11-7Fourier-Transform Mass Spectrometry
- Track 13-1Cancer immunotherapy
- Track 13-2Gene therapy
- Track 13-3Targeted therapeutics
- Track 13-4Novel approaches to cancer therapeutics
- Track 13-5Active immunotherapies
- Track 13-6Applications of metabolomics in oncology
- Track 14-1Clinical applications of precision medicine
- Track 14-2Precision medicine for mental disorders
- Track 14-3Molecular biological profiling
- Track 14-4Regenerative medicine and predictive medicine
- Track 14-5Inborn errors of metabolism (IEM)
- Track 14-6Nutraceuticals
- Track 14-7Pharmacometabolomics and precision medicine
- Track 15-1Metabolite platform for validation of biomarkers
- Track 15-2Biomarkers in drug development
- Track 15-3Disease related biomarkers
- Track 15-4Imaging biomarkers
- Track 15-5Metabolomics in biomarker discovery
Metabolomics is being used in Drug Discovery and in development from lead compound discovery to post approval drug surveillance. Metabolomics can help in finding potential new sites for therapeutic intervention by identifying metabolic changes. Metabolomics can provide activity information about possible novel drugs and drug scaffolds, indicate interesting targets for drug development and suggest binding partners of compounds. Furthermore, metabolomics can be used for the discovery of novel natural products and in drug development. Metabolomics can enhance the discovery and testing of new drugs and provide insight into the on- and off-target effects of drugs.
- Track 16-1Drug metabolism during drug design and development
- Track 16-2Metabolites in identification of drug targets
- Track 16-3Metabonomics in preclinical pharmaceutical discovery and development
- Track 16-4Toxicology and drug metabolism
- Track 16-5QSAR and ligand-receptor models
- Track 16-6Applications in Drug Development
Chemotherapy drugs capable to cause significant, irreversible, life threatening organ damage which is distressing for patients and might affect the optimal delivery of treatment. Various studies have predicted the risk factors for drug induced organ damage because of lack of biomarker to pick-up these changes in early phase causes potential morbidity and mortality. Metabolomics can address relation between gene, drugs environment and thus increase our ability to predict individual variation in drug response phenotypes.
- Track 18-1Food Metabolome
- Track 18-2Food and Nutritional Metabolomics
- Track 18-3Dietary metabolites and cellular metabolism
- Track 18-4Food safety and contamination assessment using metabolomics
- Track 18-5Applications of metabolomics to food processing
- Track 21-1Metabolomics in Neuropsychiatric Disorders
- Track 21-2Metabolomic studies in Gouty Arthritis
- Track 21-3Metabolomic studies in Osteoarthritis
- Track 21-4Metabolomic studies in Psoriatic Arthritis
- Track 21-5Metabolomic studies in Ankylosing Spondylitis
- Track 21-6Metabolomic studies in Systemic Lupus Erythematous
- Track 21-7Metabolomic studies in Rheumatoid Arthritis
- Track 21-8Metabolomics in Cardiovascular Diseases
- Track 21-9Metabolomics in Metabolic Disorders
- Track 21-10Metabolomics in Nephrology