Recommended Global Biochemistry Conferences

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Europe & UK

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Asia Pacific & Middle East

Computational Biology 2018, Japan Enzymology Congress 2019, Japan Cellular Mechanism 2019, UAE Molecular Biology Meet 2018, UAE

Proteomics 2019

About Conference

On behalf of the programme committee, we extend our warmest welcome to participate in “13th International Conference on Proteomics, Genomics & Bioinformatics”, May 10-11, 2019 Tokyo, 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

Benefits

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

Sessions/Tracks

Scientific Sessions/Tracks

Track: 1 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 science, statistics, mathematics, and engineering to analyse and interpret biological data.

Relevant Societies: Australian and New Zealand Mass Spectrometry Society, Indiana Proteomics Consortium, Proteome Society, European Federation of biotechnology, Australasian Proteomics Society, Association for Molecular Pathology, Molecular and Cellular Cognition Society, Hong Kong Society For Molecular Diagnostic Sciences Limited, Biochemical Society, Society for Molecular Biology & Evolution, The French Society for Biochemistry and Molecular Biology, The German Society for Biochemistry and Molecular Biology, Molecular Biology Society of Japan, Society of Nuclear Medicine and Molecular Imaging

Track: 2 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.

Track: 3 Protein 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.

Track: 4 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.

Track: 5 Cardiovascular Proteomics

Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels. Cardiovascular disease includes coronary artery diseases (CAD) such as angina and myocardial infarction (commonly known as a heart attack). Other CVDs are the stroke, heart failure, hypertensive heart disease, rheumatic heart disease, cardiomyopathy, heart arrhythmia, congenital heart disease, valvular heart disease, carditis, aortic aneurysms, peripheral artery disease, and venous thrombosis.

Track: 7 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.

Track: 8 Epigenomics & Epigenetics

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 proteome of a cell. Epigenetic modifications are reversible modifications on a cell’s DNA or histones that affect gene expression without altering the DNA sequence. Epigenomic maintenance is a continuous process and plays an important role in the stability of eukaryotic genomes by taking part in crucial biological mechanisms like DNA repair. Plant flavones are said to be inhibiting epigenomic marks that cause cancers. Two of the most characterized epigenetic modifications are DNA methylation and histone modification. Epigenetic modifications play an important role in gene expression and regulation and are involved in numerous cellular processes such as in differentiation/development and tumorigenesis. The study of epigenetics on a global level has been made possible only recently through the adaptation of genomic high-throughput assays.

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.

Track: 9 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: 10 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.

Track: 11 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. Particularly from the year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts. The Human Genome Project is an example of applied systems thinking in biology which has led to new, collaborative ways of working on problems in the biological field of genetics. One of the outreaching aims of systems biology is to model and discover emergent properties, properties of cells, tissues and organisms functioning as a system whose theoretical description is only possible using techniques which fall under the remit of systems biology. These typically involve metabolic networks or cell signalling networks.

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.

Track: 12 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.

Track: 13 Protein 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.

Track: 14 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.

Track: 15 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 profiling is 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.

Track: 16 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). The term pharmacogenomics is often used interchangeably with pharmacogenetics. Although both terms relate to drug response based on genetic influences, pharmacogenetics focuses on single drug-gene interactions, while pharmacogenomics encompasses a more genome-wide association approach, incorporating genomics and epigenetics while dealing with the effects of multiple genes on drug response.

Track: 17 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.

Past Conference

Proteomics 2018

10^th International Conference on Proteomics Genomics & Bioinformatics was hosted by the Conference Series llc LTD in Singapore during May 16-17, 2018 with the theme “Recent innovations and solutions adopted in the fields of Proteomics”.

The Conference marked its start by an opening ceremony which included an introduction by the Honorable Guests and the Members of Keynote Forum. All the speakers have extended their contribution in the form of highly informative presentations to lead the conference to the ladder of success.

Conference Series llc LTD extends its warm gratitude towards all the Participants, Eminent Speakers, Young Researchers, Delegates and Students.

We would like to thank the following people who laid the foundation for the event’s success

Keynote Speakers:

Jong Shin Yoo, Korea Basic Science Institute, Republic of Korea

Moderator:

Sook Za Kim, Korea Genetics Research Center, Republic of Korea

The highlights of the meeting were the peerless lectures from:

Franz-Josef Meyer-Almes, Darmstadt University of Applied Sciences, Germany
Sook Za Kim, Korea Genetics Research Center, Republic of Korea
Mihir Y Parmar, Parul University, India
Sadia Tabassum, Hazara University Mansehra, Pakistan
Bolormaa Vandanmagsar, Louisiana State University, USA
Tan Ti Myen, Sengenics, Singapore
Pattaya Seeree, Mahidol University, Thailand

Conference Series llc LTD expresses gratitude to the Organizing Committee Members for their generous nearness, support and helps towards Proteomics 2018.

With the grand success of Proteomics 2018, we are pleased to announce the 13^th International Conference on Proteomics Genomics & Bioinformatics to be held during May 10-11, 2019 in Tokyo, Japan.

For More details visit: https://www.proteomicsconference.com/asia-pacific/

To Collaborate Scientific Professionals around the World

Conference Date May 10-11, 2019

For Sponsors & Exhibitors

sponsors@conferenceseries.com

Speaker Opportunity

Day 1 Day 2

Poster Opportunity E-Poster Opportunity

Useful Links

Past Conference Report

Proteomics 2018 Conference

Supported By

Journal of Proteomics & Bioinformatics Journal of Pharmacogenomics & Pharmacoproteomics Journal of Data Mining in Genomics & Proteomics Journal of Biomedical Data Mining

All accepted abstracts will be published in respective Conference Series LLC LTD International Journals.

Abstracts will be provided with Digital Object Identifier by

Proteomics, Genomics and Bioinformatics

May 10-11, 2019 Tokyo, Japan