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14th International Conference & Expo on Proteomics and Bioinformatics, will be organized around the theme “Global Perspectives in Proteomics and Bioinformatics”

Proteomics Congress 2020 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Proteomics Congress 2020

Submit your abstract to any of the mentioned tracks.

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Proteomics is an emerging field that has been highly enabled by the human genome project. Proteins are the products of genes, the machinery of the cells in our bodies. When genes are disrupted, the proteins are also affected. When pathogens infect us, causing disease, proteins play a key role in signaling the presence and ridding us of these invaders. Almost every process that occurs in our cells – from the metabolization of simple sugar to the division of cells – is dependent on proteins for smooth operation. In general, proteomics seeks to detect and quantify as many proteins as possible.

  • Track 1-1Therapeutic protein analysis
  • Track 1-2Discovery & targeted proteomics
  • Track 1-3Chemical & single cell proteomics
  • Track 1-4Molecular and cellular proteomics
  • Track 1-5Microarrays approaches in proteomics
  • Track 1-6Top down & bottom up proteomics
  • Track 1-7Quantitative proteomics
  • Track 1-8Annotation, visualization, integrated discovery
  • Track 1-9Post-translational modifications & signal transduction
  • Track 1-10Proteomics of tropical & infectious diseases

Mass spectrometry (MS) - based proteomics allows the sensitive and accurate quantification of almost complete proteomes of complex biological fluids and tissues. At the moment, however, the routinely usage of MS-based proteomics is prevented and complicated by the very complex work flow comprising sample preparation, chromatography, MS measurement followed by data processing and evaluation. The new technologies, products and assays developed by Precision Proteomics could help enabling and establishing mass spectrometry (MS) - based proteomics in academic and pharmaceutical proteomics research as well as in clinical diagnostics

  • Track 2-1Mass spectrometry for protein analysis
  • Track 2-2Protein identification and validation
  • Track 2-3Multidimensional protein identification technology – MudPIT
  • Track 2-4Liquid chromatography mass spectrometry (LC-MS)
  • Track 2-5Universal tools for mass spectrometry
  • Track 2-6Mass spectrometry applications
  • Track 2-7Mass spectrometry ionization methods
  • Track 2-8High performance liquid chromatography (HPLC)
  • Track 2-9Gas chromatography (GC) and liquid chromatography (LC)
  • Track 2-10Tandem mass spectrometry (MS/MS)
  • Track 2-11Over expression and purification of the proteins

Protein expression refers to the way in which proteins are synthesized, modified and regulated in living organisms. In protein research, the term can apply to either the object of study or the laboratory techniques required to manufacture proteins. Protein analysis is the bioinformatics study of protein structure, protein interaction and function using database searches, sequence comparisons, structural and functional predictions.

  • Track 3-1Recombinant proteins
  • Track 3-2Protein expression
  • Track 3-3Protein analysis
  • Track 3-4Protein characterization
  • Track 3-5Protein profiling
  • Track 3-6Protein identification
  • Track 3-7Gel-free & based proteomics techniques

Bioinformatics, an amalgam science that associates biological data with techniques for information storage, distribution, and analysis to support compound areas of scientific research, comprising biomedicine. It is nurtured by high-throughput data-generating experiments, including genomic sequence. Progress of effective algorithms for measuring sequence likeness is an important objective of bioinformatics. Thus is used to predict interfaces between proteins, given individual structures of the partners known as “docking problem.” Nevertheless, the ends of bioinformatics are integrative and are aimed at presuming out how combinations of diverse types of data can be used to apprehend natural phenomena, including organisms and disease.

  • Track 4-1Computing for biology
  • Track 4-2Biology with computers
  • Track 4-3Mathematics for biology
  • Track 4-4Biochemistry with computers
  • Track 4-5Medicine with computers

Computational molecular biology brings together computational, statistical, experimental, and technological methods in order to further scientific discovery and develop new analytical tools for molecular biology.

  • Track 5-1Computational genomics
  • Track 5-2Computational intelligence methods
  • Track 5-3Computational natural sciences and bioinformatics
  • Track 5-4Computational medicine and bioinformatics
  • Track 5-5Computational science
  • Track 5-6Cancer computational biology
  • Track 5-7Computational evolutionary biology
Biochemistry, sometimes called biological chemistry, is the study of chemical processes within and relating to living organisms.Biochemical processes give rise to the complexity of life. Biophysics is a bridge between biology and physics. Biophysics studies life at every level, from atoms and molecules to cells, organisms, and environments.
  • Track 6-1Membrane biophysics
  • Track 6-2Systems biology
  • Track 6-3Metabolomics
  • Track 6-4Plant biochemistry
  • Track 6-5Protein biochemistry
  • Track 6-6Enzyme synthesis and biomolecules
Glycobiology is the study of the structure, function and biology of carbohydrates, also called glycans. Glycans are present in every living organism. Glycobiology is a rapidly growing field in biology, with relevance to biomedicine, biotechnology and basic research.
  • Track 7-1Glycoengineering
  • Track 7-2Glycoimmunology
  • Track 7-3Glycochemistry
  • Track 7-4Glycans in diseases & therapeutics
  • Track 7-5Glycosylation & protein function
Genetics is the study of heredity, or how the characteristics of living organisms are transmitted from one generation to the next via DNA, the substance that comprises genes, the basic unit of heredity. Genetics involves the study of specific and limited numbers of genes, or parts of genes, that have a known function. In biomedical research, scientists try to understand how genes guide the body’s development, cause disease or affect response to drugs. Genomics, in contrast, is the study of the entirety of an organism’s genes – called the genome. Using high-performance computing and math techniques known as bioinformatics, genomics researchers analyze enormous amounts of DNA-sequence data to find variations that affect health, disease or drug response. In humans that means searching through about 3 billion units of DNA across 23,000 genes. Genomics is a much newer field than genetics and became possible only in the last couple of decades due to technical advances in DNA sequencing and computational biology.
  • Track 8-1Molecular genetics
  • Track 8-2Genomic types
  • Track 8-3Molecular and biomedical genetics
Structural biology is the study of the molecular structure and dynamics of biological macromolecules, particularly proteins and nucleic acids, and how alterations in their structures affect their function. Structural biology incorporates the principles of molecular biology,biochemistry and biophysics.
  • Track 9-13D structure determination
  • Track 9-2Hybrid approaches for structure prediction
  • Track 9-3Sequencing & signalling biology
  • Track 9-4Molecular modelling and dynamics
Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA.
  • Track 10-1Genome mapping
  • Track 10-2Translational medicine
  • Track 10-3Protein modeling
  • Track 10-4Epigenomic data analysis
  • Track 10-5Computational neuroscience
  • Track 10-6Mathematical techniques
Cardiac proteomics is a scientific field spearheaded by the Lundby group. Cardiac proteomics allows for unbiased investigations ofprotein and signaling changes taking place in cardiac tissue. In the Lundby group cardiac proteomics is applied to gain molecularinsights into regulatory processes in the heart.
  • Track 11-1Cardiovascular medicine
  • Track 11-2Cardiovascular diseases
  • Track 11-3Biomarker discovery
Proteomics & Bioinformatics deals with all aspects of translational proteomics, application of proteomic technology to all aspects of clinical research and molecular medicine and identification of proteins that are involved in pathological process which results in understanding the how a disease can lead to altered protein expression and it analysis the complete study of the proteins produced and expressed in the biological systems of an organism at a particular period of time.
  • Track 12-1Proteomics analytical techniques
  • Track 12-2Protein therapeutics analysis
  • Track 12-3Analytical & bioanalysis Services
  • Track 12-4Proteomics in cell biology and disease mechanisms
  • Track 12-5Preclinical and clinical studies
  • Track 12-6Biosimilars and pharmacokinetics
  • Track 12-7Biomedical engineering