Track Categories

The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.

Metabolomics is the quantification of all metabolites at a defined time under specific environmental conditions. It offers a comprehensive view of all detectable chemicals. Recent advancements in metabolomics include strategies to identify and quantify cellular metabolites using sophisticated analytical technologies. Statistical and multi-variant methods are used for information extraction and data interpretation. Since metabolites are so closely linked to the phenotype of an organism, metabolomics can be used for a large range of applications.

  • Track 1-1Metabolome
  • Track 1-2Metabolites
  • Track 1-3Exometabolomics
  • Track 1-4Analytical Technologies
  • Track 1-5Statistical Methods
  • Track 1-6Edibilomics
  • Track 1-7Lipidomics

Bio marker indicates Biological Marker. Any measurement that reflects the interaction between a biological system and a potential hazard can be called as a Biomarker. The potential hazard can be chemical, physical, or biological. Biomarkers are used in clinical and laboratory processes to enhance the physiological activity of a living cell.

  • Track 2-1Molecular Biomarkers
  • Track 2-2Imaging Biomarkers
  • Track 2-3Biomarkers in Drug Development
  • Track 2-4Environmental Biomarkers
  • Track 2-5Biomarker Testing Devices
  • Track 2-6Genetic Biomarkers

Lipidomics involves complex lipidome analysis. It is an emerging biomedical research area. Lipidome is the quantitative description of set of lipids, proteins and other moieties present in an organism. Lipidomics, which is a sub-group of metabolomics, is divided into two categories, membrane-metabolomics and mediator-lipidomics.

 

  • Track 3-1Metabolic Interactions
  • Track 3-2Clinical Applications
  • Track 3-3Mass Spectrometry
  • Track 3-4Nutrigenomics
  • Track 3-5Lipid Extraction and Bio-Fluids
  • Track 3-6Animal Experiments and Study Design
  • Track 3-7Lipidomic Profiling

Nutrigenomics is otherwise known as nutritional genomics, and it involves the study of effects of food and food constituents in gene expression. It uses molecular tools to search, access, and understand the several responses obtained through a certain diet applied between individuals or population groups. It seeks to elucidate how the components of a particular diet may affect the expression of genes. This response will depend on how genes will show a changed activity or alter gene expression.

 

  • Track 4-1Genome-Food Interface
  • Track 4-2Polimorphisms
  • Track 4-3Anti-Aging
  • Track 4-4Obeisity
  • Track 4-5Cancer
  • Track 4-6Genome Health
  • Track 4-7Links to Chronic Disease

Edible plants can harbour enteric bacteria, serving as vehicles for foodborne pathogens. As genomes of many plant species have been sequenced, demand for functional genomics has dramatically accelerated the improvement of other omics including metabolomics. Metabolomics has contributed significantly to the attempts to improve plant behaviour under both normal and stressed conditions.

 

  • Track 5-1Green Systems Biology
  • Track 5-2Toxicometabolomics
  • Track 5-3Microbiome Related Metabolome
  • Track 5-4Drug Metabolism
  • Track 5-5Microbial Metabolomics
  • Track 5-6Secondary Metabolites in Soil Ecology

With remarkable development of metabolomics in recent years, new drug delivery approaches have been receiving significant attention. Miniaturizing the drug delivery systems, to make it much smaller than their targets is adapted for precise drug delivery methodologies. Metabolomics play a vital role in the prediction of drug’s effects on the body by explaining the mechanisms by which drug response causes adverse effects.

 

  • Track 6-1Potential of Diagnosis and Biomarkers
  • Track 6-2Drug Target Identification and Validation
  • Track 6-3ADMET Screening
  • Track 6-4Challenges of Pharmetabolomics
  • Track 6-5Applications in Clinical Studies

Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. The set of metabolites synthesized by a biological system constitute its metabolome. Metabolomic pathway analysis involves a detailed analysis of data mining and mathematical modelling of metabolism.

 

  • Track 7-1System Analysis
  • Track 7-2Pathway Inhibition
  • Track 7-3Bioactivation Pathways
  • Track 7-4Polypharmacokinetics
  • Track 7-5Hepatic Xenobiotic Metabolism
  • Track 7-6Bioactivation of Keto Conazole

Chemical analysis done by a range of analytical platforms through targeted/untargeted approaches is the methodology involved in cancer metabolomics. Since the current radiological approaches cannot accurately localize the cancer in particular areas, metabolomic approach is tested and being developed by researchers. Various biofluids, depending on the area of origin, such as blood, urine, and expressed prostatic secretions, can be used for validating metabolic biomarkers non-invasively in cancer patients.

 

  • Track 8-1Cancer Immunotherapy
  • Track 8-2Gene Therapy
  • Track 8-3Targeted Therapeutics
  • Track 8-4Active Immunotherapy
  • Track 8-5Metabolomic Profiling in Cancer
  • Track 8-6Applications in Oncology

Metabolomic syndrome can be biochemical or physiological abnormalities. One out of every six Americans are having metabolomic syndrome. The syndrome is also known by the name ‘Syndrome X’. It causes high levels of insulin and glucose, which are linked to many harmful changes to the body. It is associated with development of cardiovascular disease and type 2 diabetes. Lifestyle changes like losing weight, exercise, and dietary changes can help prevent or reverse this condition.

 

  • Track 9-1Endocrine Science
  • Track 9-2Coronary Heart Disease
  • Track 9-3Lipodistrophy
  • Track 9-4Lipodistrophy
  • Track 9-5Phychiatric Illness
  • Track 9-6Pathophysiology
  • Track 9-7Prevention

Systems biology is concerned with the study of biological functions and mechanisms, underpinning inter-cellular and intra-cellular dynamical networks, by means of signal-oriented and system-oriented approaches. studies biological systems by systematically perturbing them, monitoring the gene, protein, and informational pathway responses; integrating these data; and ultimately, formulating mathematical models that describe the structure of the system and its response to individual perturbations.

 

  • Track 10-1Network Biology
  • Track 10-2Structural Biology
  • Track 10-3Functional Proteomics
  • Track 10-4Network Mapping and Network Dynamics
  • Track 10-5Quantitative Modelling
  • Track 10-6Protein-Protein Interactions
  • Track 10-7Regulatory Mechanisms

Developmental biology involves original research on mechanisms of development, differentiation, and growth in animals and plants at the molecular, cellular, genetic and evolutionary levels. Areas of particular research include transcriptional control mechanisms, embryonic patterning, cell-cell interactions, growth factors and signal transduction, and regulatory hierarchies in developing plants and animals.

 

  • Track 11-1Signals and Extracellular Space
  • Track 11-2Tissue Patterning and Growth
  • Track 11-3Vertebrate Neural Tube Development
  • Track 11-4Generation of Neural Diversity
  • Track 11-5Genetic Regulation of Growth and Regneration

Systems pharmacology has deep connections, conceptual and historical, to physiology and classical pharmacology, as well as to newer systems biology and omics approaches. Pharmacology is an inherently multi-scale discipline that seeks to integrate knowledge gained through molecular studies in simple biological settings. Systems pharmacology adds “vertical integration” to the existing discipline of systems biology and a strong commitment to studying drugs in humans. Achieving vertical integration implies the need for multiscale approaches and the ability to integrate data and concepts from the level of molecules to the levels of cells, tissues and organisms.

 

  • Track 12-1Pharmocology
  • Track 12-2Pharmacokinetics
  • Track 12-3Clinical and Pediatric Pharmocology
  • Track 12-4Neuro and Psychopharmocology
  • Track 12-5Respiratory and Cardiovascular Pharmocology
  • Track 12-6Molecular and Cellular Pharmocology
  • Track 12-7Immunopharmocology and Immunotoxicology

For the continuing health of their subject, mathematicians must become involved with biology. The increasing study of realistic and practically useful mathematical models in population biology, whether we are dealing with a human population with or without its age distribution, population of an endangered species, bacterial or viral growth and so on, is a reflection of their use in helping to understand the dynamic processes involved and in making practical predictions.

  • Track 13-1Biomolecular Dynamics
  • Track 13-2Protein Docking and Ligand-Receptor Interaction
  • Track 13-3Protein Structure Prediction
  • Track 13-4Molecular Simulation
  • Track 13-5Molecular Evolution/Phylogeny
  • Track 13-6Bioinformatics Engineering
  • Track 13-7Biodata Visualization
  • Track 13-8Simulation of Biosets

Cells sense environmental stimuli and use these to initiate appropriate physiological responses. Cells receive signals, perform detection and transduction with its biochemistry, and grow and die in the cell-environments. Understanding the cellular information processing in healthy and diseased states and engineering it through synthetic biology requires better insights into the relationship between different interaction motifs found in signalling networks and their potential roles in the ensuing system dynamics.

 

  • Track 14-1Dynamic Cell Signalling
  • Track 14-2Tissue Stress Status
  • Track 14-3Stochastic Process
  • Track 14-4Molecular Biophysics
  • Track 14-5Biochemical Networks
  • Track 14-6Statistical Interface
  • Track 14-7Statistical Interface
  • Track 14-8Statistical Interface
  • Track 14-9Statistical Interface

Structural biology is a branch of molecular biology, biochemistry, and biophysics concerned with the molecular structure of biological macromolecules, especially proteins and nucleic acids, how they acquire the structures they have, and how alterations in their structures affect their function. Macromolecules carry out most of the functions of cells, and it is only by coiling into specific three ­dimensional  shapes that they are able to perform these functions. The methods that structural biologists use to determine their structures generally involve measurements on vast numbers of identical molecules at the same time.

 

  • Track 15-1Macromolecular Crystallography
  • Track 15-2Proteolysis
  • Track 15-3Nuclear Magnetic Resonance of Proteins
  • Track 15-4Electron Paramagnetic Resonance
  • Track 15-5Cryo-Electron Microscopy
  • Track 15-6Small Angle Scattering
  • Track 15-7Dual Polarization Interferometry
  • Track 15-8Circular Dichorism
  • Track 15-9Mass Spectrometry

Synthetic biology is an emerging field that potentially offers an indefinite number of possibilities and potential applications. Synthetic biology pursues to make the engineering of biological systems easier and more predictable. Synthetic biology is characterised by a dual definition, aiming on the one hand to construct new biological parts, devices and systems, and on the other hand to re-design existing parts. The design and generation of new biological parts for the modular construction of biological genetic systems is the key aspect of synthetic biology.

 

  • Track 16-1DNA Synthesis and Squeezing
  • Track 16-2Modular Protein Assembly
  • Track 16-3Biosensors
  • Track 16-4Industrial Enzymes
  • Track 16-5Space Exploration
  • Track 16-6Synthetic Genetic Pathway
  • Track 16-7Unnatural Aminoacids
  • Track 16-8Unnatural Nucleotides