Call for Abstract

Scientific Program

14^th 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.

Track 1:Proteomics from Discovery to Function

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

Track 2:Mass Spectrometry in Proteome Research

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

Track 3:Protein Expression and Analysis

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

Track 4:Bioinformatics

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

Track 5:Computational Molecular Biology

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

Track 6:Biochemistry and Biophysics

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

Track 7:Glycobiology

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

Track 8:Genetics and Genomics

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

Track 9:Structural Biology

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

Track 10:Structural Bioinformatics

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

Track 11:Cardiac Proteomics

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

Track 12:Advances in Proteomics and Bioinformatics

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