Theme: Leading Edge Innovations in Life Sciences

Proteomics 2020

Renowned Speakers

Proteomics 2020

On behalf of the programme committee, we extend our warmest welcome to participate in “13th International Conference on Proteomics, Genomics & Bioinformatics”, is going to be held on May 18-19, 2020 in Osaka, Japan

Theme: Leading Edge Innovations in Life Sciences

This congress melds brief Keynote presentations, Speaker talks, Exhibition, Symposia and Workshops. The conference will explore the recent advancements and new methodologies that can be applied to the research to take proteomics and bioinformatics, one step further. The broad subject coverage of the conference and its size provide an excellent setting for participants to gain valuable insight into progress in research areas beyond their own. In addition, a range of special sessions aims to engage participants on wider issues, such as teaching in the proteomics as well as bioinformatics research.

The Proteomics along with bioinformatics has a strong emphasis on support and inspiration for the next generation of scientists, along with early-career researchers, a Young Researchers Forum, and activities to encourage interaction with peers and experts.

Altogether the Conference aims to be an exemplary cross-discipline gathering in the proteomics and bioinformatics life sciences for research presentation, discussion, learning, inspiration and encouragement with participants leaving with new research knowledge and ideas, and perhaps the beginnings of international collaborations and friendships.

Target Audience & Benefits

Target Audience:

It is important to note that while this conference focuses on Proteomics for Bioinformatics, Bioinformatics and Computational Biology, Protein Structure, Mass Spectrometry Proteomics, Cardiovascular Proteomics, Cancer Genomics, Proteomics in Plant & Animal, Epigenomics and Epigenetics, Protein Biochemistry, Genomics, Biomedical Sciences in Bioinformatics, Protein Sequencing & Molecular Interactions, Machine Learning in Bioinformatics, Integrating Transcriptomics & Proteomics, Pharmacogenomics, Next generation sequencing and other techniques, that this conference is open to all interested parties who feel they have something to contribute or learn whether you be:

  • Program managers and/or employees
  • Health professionals
  • Researchers and scientists
  • Management/Business leaders and/or agents
  • Government/non-government community groups or individuals
  • Professors
  • Doctors
  • Lecturers
  • Psychiatrist
  • Therapists
  • Nurse
  • Students


  • Access to all Scientific Sessions (Keynotes, Plenary, Workshops, Symposiums, Poster Presentations)

  • Will be felicitated with Organizing Committee Member (OCM) Certificate

  • Full Conference Kit with Conference Souvenir and Final Program (e-copies)

  • Abstracts will be published in the conference souvenir and respective International journals

  • Each Abstract will receive unique (DOI) Number provided by Cross Ref

  • Laudable talks by the top-notch of the Global Scientific Community

  • Website visibility to more than 35K visitors in less than 6 months

  • Keynote sessions by world’s most eminent researchers

  • Thought to provoke Symposiums and Workshops

  • Remarkable Awards and Global Recognition to meritorious Researchers

  • Nominations for Best Poster Award

  • Outstanding Young Researcher Award geared towards best budding young research.

  • Group Registration benefits

  • Collaborations across Academia & Industry

  • Triumph of Awards, Certificates recognizes your commitment to your profession to encourage the nascent research.

  • Best platform to develop new partnership & collaborations

Track 01: Proteomics for Bioinformatics

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer sciencestatistics, mathematics, and engineering to analyse and interpret biological data.

  • Protein sequence databases and their use

  • Protein sequence data in UniProt

  • Post-translational modifications

  • Standardisation of proteomics data

  • MS proteomics repositories and the ProteomeXchange consortium

  • PRIDE and PRIDE-related tools

  • Proteogenomics

Track 02: Bioinformatics & Computational Biology

Computational Biology involves the improvement and application of statistics-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of organic, behavioural, and social structures. The field is widely described and includes foundations in biology, applied mathematics, data, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, pc technological know-how and evolution.

Computational biology is different from biological computing, that's a subfield of computer technology and computer engineering using bioengineering and biology to build computer systems but is just like bioinformatics, that is an interdisciplinary science using computer systems to store and system biology information.

  • Data mining and Machine Learning

  • Computational anatomy

  • Artificial Intelligence

  • Computational biomodeling

Track 03Protein Structure

Protein structure is the three-dimensional arrangement of atoms in a protein molecule. Proteins are polymers specifically polypeptides formed from sequences of amino acids, the monomers of the polymer. A single amino acid monomer may also be called a residue indicating a repeating unit of a polymer. Proteins form by amino acids undergoing condensation reactions, in which the amino acids lose one water molecule per reaction in order to attach to one another with a peptide bond. By convention, a chain of 30 amino acids is often identified as a peptide, rather than a protein. To be able to perform their biological function, proteins fold into one or more specific spatial conformations driven by a number of non-covalent interactions such as hydrogen bonding, ionic interactions, Van der Waals forces, and hydrophobic packing. To understand the functions of proteins at a molecular level, it is often necessary to determine their three-dimensional structure. This is the topic of the scientific field of structural biology, which employs techniques such as X-ray crystallography, NMR spectroscopy, and dual polarisation interferometry to determine the structure of proteins.

  • Computational prediction of protein structure

  • Structure classification

  • Protein structure databases

  • Protein Sequence Analysis

  • Protein structure determination

  • Protein stability

  • Protein folding

  • Protein dynamics

  • Levels of protein structure

Track 04: Mass Spectrometry Proteomics

Electrospray ionization (ESI) is a technique used in mass spectrometry to produce ions using an electrospray in which a high voltage is applied to a liquid to create an aerosol. Liquid chromatography is an analytical chemistry technique that combines the physical separation capabilities of liquid chromatography (or HPLC) with the mass analysis capabilities of mass spectrometry (MS). Multidimensional Protein Identification Technology (MudPIT) is used to analyze the proteomes of organisms. Protein purification is a series of processes intended to isolate one or a few proteins from a complex mixture, usually cells, tissues or whole organisms. Imaging mass spectrometry (IMS) using matrix-assisted laser desorption ionization (MALDI) is a new and effective tool for molecular studies of complex biological samples such as tissue sections.

  • Protein identification

  • De novo (peptide) sequencing

  • Protein quantitation

  • Protein structure determination

  • Proteogenomics

Track 05: Proteomics in Plant & Animal

The proteome of each living cell is dynamic, altering in response to the individual cell's metabolic state and reception of intracellular and extracellular signal molecules, and many of the proteins which are expressed will be post-translationally altered. Thus if the purpose of the proteome analysis is to aid the understanding of protein function and interaction, then it is the identification of the proteins in their final state which is required: for this mass spectrometric identification of individual proteins, indicating site and nature of modifications, is essential.

  • Gel based proteomics

  • Shotgun proteomics

  • Studies in biological fluids

  • Salinity Tolerance

  • Photosynthesis

  • Late-Embryogenesis Abundant (LEA) Proteins

  • Oxidative Stress/Antioxidants

Track 06: Epigenomics & Epigenetics Protein Biochemistry

Epigenomics is the study of the complete set of epigenetic modifications on the genetic material of a cell, known as the epigenome. The field is analogous to genomics and proteomics, which are the study of the genome and proteomeof a cell.  Epigenetic modifications are reversible modifications on a cell’s DNA or histones that affect gene expression without altering the DNA sequence. Epigenetics are stable heritable traits (or "phenotypes") that cannot be explained by changes in DNA sequence. Epigenetics often refers to changes in a chromosome that affect gene activity and expression but can also be used to describe any heritable phenotypic change that doesn't derive from a modification of the genome, such as prions. Such effects on cellular and physiological phenotypic traits may result from external or environmental factors, or be part of the normal developmental program. The standard definition of epigenetic requires these alterations to be heritable, either in the progeny of cells or of organisms.

  • DNA methylation

  • Histone modification

  • ChIP-Chip and ChIP-Seq

  • Genome wide approaches

  • Direct detection

Track 07: Protein Biochemistry

Proteins are a primary constituent of living things and one of the chief classes of molecules studied in biochemistry. Proteins provide most of the molecular machinery of cells. Many are enzymes or subunits of enzymes. Other proteins play structural or mechanical roles, such as those that form the struts and joints of the cytoskeleton. Each protein is linear polymers built of amino acids.

Track 08: Genomics

Genomics refers to the study of the genome in contrast to genetics which refers to the study of genes and their roles in inheritance. Genomics can be considered a discipline in genetics. It applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble and analyse the function and structure of genomes (the complete set of DNA within a single cell of an organism). Advances in genomics have triggered a revolution in discovery-based research to understand even the most complex biological systems such as the brain. The field includes efforts to determine the entire of DNA sequence organisms and fine-scale genetic mapping.

  • Functional genomics

  • Structural genomics

  • Epigenomics

  • Metagenomics

  • Model systems

  • Genomic medicine

  • Conservation genomics

Track 09Structural Genomics

Structural genomics seeks to depict the 3-dimensional structure of each protein encoded by a given genome. This genome-based approach takes into consideration a high-throughput technique for structure assurance by a combination of experimental and modelling approaches. The important contrast between structural genomics and traditional structure prediction is that structural genomics endeavors to decide the structure of each protein encoded by the genome, instead of concentrating on one specific protein. With full-genome arrangements accessible, structure prediction should be possible all the more rapidly through a combination of experimental and modelling approaches, particularly in light of the fact that the accessibility of expansive number of sequenced genomes and beforehand explained protein structures enables researchers to display protein structure on the structures of previously solved homologs.

  • Modelling Threading

  • Structure databases

  • Proteomics

  • Traditional structural prediction

  • Structural homology

  • Structural bioinformatics

Track 10: Systems Biology & Computational Biology

Systems biology is the computational and mathematical modelling of complex biological systems. An emerging engineering approach applied to biological scientific research, systems biology is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological research. Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, homology, genomics, ecology, evolution, anatomy, neuroscience, and visualization.

  • Multicellular systems biology

  • Pathways and networks

  • Application of LC-MS in plant metabolomics

  • Neurodegenerative diseases

  • Xenobiotics

Track 11: Biomedical Sciences in Bioinformatics

Biomedical research is in general simply known as medical research. It is the basic research, applied research, or translational research conducted to aid and supports the development of knowledge in the field of medicine. An important kind of medical research is clinical research, which is distinguished by the involvement of patients. Other kinds of medical research include pre-clinical research, for example on animals, and basic medical research, for example in genetics.

  • Critical use of clinical information

  • Translational medicine

  • Clinical product development

  • Conceptual frameworks from top-down

Track 12Protein Sequencing & Molecular Interactions

Protein sequencing is the practical process of determining the amino acid sequence of all or part of a protein or peptide. This may serve to identify the protein or characterize its post-translational modifications. Typically, partial sequencing of a protein provides sufficient information (one or more sequence tags) to identify it with reference to databases of protein sequences derived from the conceptual translation of genes.

Molecular Interactions are attractive or repulsive forces between molecules and between non-bonded atoms. Molecular interactions are important in diverse fields of protein folding, drug design, material science, sensors, nanotechnology, separations, and origin of life. Molecular interactions are also known as non-covalent interactions or intermolecular interactions. Molecular interactions are not bonds.

  • Determining amino acid composition

  • N-terminal amino acid analysis

  • C-terminal amino acid analysis

  • Edman degradation

  • Identification by mass spectrometry

  • Predicting from DNA/RNA sequences

Track 13: Machine Learning in Bioinformatics

Machine learning is closely related to computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning.

  • Microarrays

  • Stroke Diagnosis

  • Text mining

Track 14: Integrating Transcriptomics & Proteomics

Current transcriptomic profiling techniques include DNA microarray, cDNA amplified fragment length polymorphism (cDNA-AFLP), expressed sequence tag (EST) sequencing, serial analysis of gene expression (SAGE), massive parallel signature sequencing (MPSS), RNA-seq etc. The most recent technology for transcriptomic profilingis RNA-Seq which is considered as a revolutionary tool for this purpose. Eukaryotic transcriptomic profiles are primarily analyzed with this technique and it has been already applied for transcriptomic analysis of several organisms including Saccharomyces cerevisiae, Schizosaccharomyces pombe, Arabidopsis thaliana, mouse and a human cell.

  • Isolation of RNA

  • Expressed sequence tags

  • RNA-Seq

  • Image processing

  • Diagnostics and disease profiling

  • Human and pathogen transcriptomes

Track 15: Pharmacogenomics

Pharmacogenomics is the study of the role of the genome in drug response. Its name (pharmacy + genomics) reflects it’s combining of pharmacology and genomics. Pharmacogenomics analyzes how the genetic makeup of an individual affects his/her response to drugs. It deals with the influence of acquired and inherited genetic variation on drug response in patients by correlating gene expression or single-nucleotide polymorphisms with pharmacokinetics (drug absorption, distribution, metabolism, and elimination) and pharmacodynamics (effects mediated through a drug's biological targets).

  • Drug-metabolizing enzymes

  • Predictive prescribing

  • Clinical implementation

  • Polypharmacy

  • Drug labeling

Track 16: Next Generation Sequencing & Other Techniques

The high demand for low-cost sequencing has driven the development of high-throughput sequencing, which also goes by the term next-generation sequencing (NGS). Thousands or millions of sequences are concurrently produced in a single next-generation sequencing process. Next-generation sequencing has become a commodity. With the commercialization of various affordable desktop sequencers, NGS has become within the reach of traditional wet-lab biologists. As seen in recent years, the genome-wide scale computational analysis is increasingly being used as a backbone to foster novel discovery in biomedical research.

  • Illumina (Solexa) sequencing

  • Roche 454 sequencing

  • Ion Torrent: Proton / PGM sequencing

Track 17: Gene Therapy and Genetic Counselling

Genetic Counselling is the procedure by which the patients or relatives at risk of an acquired disorder (or might convey a kid at risk) are advised with the outcomes and nature of the disorder, the likelihood of creating or transmitting it, and the choices open to them in management and family planning. This mind boggling procedure can be isolated into indicative (the real estimation of hazard) and supportive aspects.

  • Gene Polymorphism

  • Regenerative Medicine

  • Gene Editing and CRISPR Based Technologies

  • Viral Gene Therapy

  • Ethical Issues Related To Gene Therapy

  • Advanced Therapy Production

Track 18Enzyme Nanotechnology

The nanomaterial has admired qualities to equilibrate boss components which pick biocatalysts proficiency, including a particular surface territory, mass exchange confirmation and productive compound stacking. This review displays the current circumstance and frameworks in compound immobilization. A couple of methods are used which are capable to join proteins/synthetic substances with nanoparticles. Immobilization process is to overhaul the operational execution of an impetus for mechanical applications. So far different cross sections have been portrayed in the written work to improve the execution of the immobilized proteins. With the incident to nanotechnology, the nanomaterial due to their one of a kind physical - substance properties constitute novel and charming frameworks for compound immobilization.

  • Enzyme nanoparticles

  • DNA nanotechnology

  • Nanotechnology products

  • DNA microarray

  • Nanopolymers

  • Nanotechnology in targeted drug delivery

  • Immobilization using nanoparticles

  • Nanotechnology enabled enzyme activity


Relevant Societies: Australian and New Zealand Mass Spectrometry SocietyIndiana Proteomics ConsortiumProteome SocietyEuropean Federation of biotechnologyAustralasian Proteomics SocietyAssociation forMolecular PathologyMolecular and Cellular Cognition SocietyHong Kong Society for Molecular Diagnostic Sciences LimitedBiochemical SocietySociety for Molecular Biology & EvolutionThe French Society forBiochemistry and Molecular BiologyThe German Society for Biochemistry and Molecular BiologyMolecular Biology Society of JapanSociety of Nuclear Medicine and Molecular Imaging



The report says, separate comprehensive analytics for the US, Canada, Japan, Asia-Pacific, Europe, Latin America, and Rest of World. The annual forecast provided for the period 2016 through 2024. A five-year historic analysis is provided for the markets. The worldwide markets for Proteomics in US$ Million.

   Total Companies Profiled: 75 (including Divisions/Subsidiaries 79)

The United States (45)

Canada (4)

Japan (2)

Europe (24)

France (2)

Germany (7)

The United Kingdom (7)

Rest of Europe (8)

Asia-Pacific (Excluding Japan) (4)

The global market of proteomics was valued at over USD 11.8 billion in 2015. The growing incidence of target diseases such as cancer, diabetes, and cardiovascular is expected to be the major factor in the market growth. Customized therapies and medicines such as protein sequence are under research for these type of diseases. The sudden environment changes, unhealthy lifestyle, and awareness about infectious diseases in the low-income countries foster the demand for better diagnosis of fatal diseases.

The aim for studying proteomics in the 21st century is a detect disease at early stages. In a past few years, as proteomics proves to be a very powerful tool for providing information pertaining to a broad range of diseases.

Furthermore, regulations and government policies support the research and development in proteomics. The Center for Biologics Evaluation and Research regulates approval for the biological products related to proteomics by ensuring their safety and efficacy. The FDA is also engaged in studying the use of analytical proteomic tools for characterizing the biological products and for validation of biomarkers

To share your views and research, please click here to register for the Conference.

To Collaborate Scientific Professionals around the World

Conference Date May 18-19, 2020
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