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4th World Congress On Protein and Bio-Medical Engineering, will be organized around the theme “Protein and Bio-Medical Engineering - A Roadmap for Advanced Research Initiatives”
Protein Engineering Congress 2018 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Protein Engineering Congress 2018
Submit your abstract to any of the mentioned tracks.
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Protein Engineering is the process of creating helpful or profitable proteins and it research happens into the comprehension of collapsing and acknowledgment for protein plan standards. Analysts will have further point by point learning on In vitro development of proteins, Aspects of Biocatalysis, Advances in designing proteins for biocatalysis, Protein Engineered Biomaterials and many subjects. Computational Protein Engineering, Constructing practical biocatalysts and Growth of manufactured science are likewise normally utilized themes as a part of protein designing. Protein engineering business sector is estimated to develop at a CAGR of 15.7% to reach $1,463.0 million by 2020. There are very nearly 3000 individuals from 60-65 colleges in USA working for Protein Engineering and there are a few meetings & workshops like biomolecular designing gatherings, sub-atomic cell science workshops, protein engineering meetings, antibody engineering 2015 are conducting throughout the year globally.
- Track 1-1Protein engineering design and selection
- Track 1-2Computational protein engineering
- Track 1-3In vitro evolution of proteins
- Track 1-4Advances in engineering proteins for biocatalysis
- Track 1-5Constructing functional biocatalysts
- Track 1-6Aspects of biocatalysis
- Track 1-7Growth of synthetic biology
- Track 1-8Membrane proteins
- Track 1-9Plant and Human Genetics
- Track 1-10Cell Growth and Cell Culture
- Track 1-11Retrometabolic drug design
Recombinant protein production & purification, Protein expression and purification, CHI protein and Protein electrophoresis are the topics covered in the protein purification. Protein purification is a series of processes planned to isolate one or a few proteins from a complex mixture, usually cells, tissues or whole organisms. It also involves in the separation of non-protein parts from all the other products.
- Track 2-1Applications of Protein folding
- Track 2-2Mechanisms of folding
- Track 2-3Protein folding and processing
- Track 2-4Driving force of protein folding
- Track 2-5Computational methods in protein folding
Protein folding is defined as the physical process of a protein chain.it deals in acquires of native 3-dimensional structure, a conformation that is usually biologically functional, in an expeditious and reproducible manner. In recent years, Researchers are keeping their effort in the mystery of different mechanisms, driving forces, and processes occurring in protein folding.
- Track 3-1Recombinant protein production and purification
- Track 3-2Protein expression and purification
- Track 3-3CHI protein
- Track 3-4Protein electrophoresis
Protein crystallography displays protein structures at the atomic level and helps in understanding the protein function with the help of very high-resolution microscopy. Protein Crystallography has been highly used in industrial processes for designing novel drugs that target a particular protein or an enzyme.
- Track 4-1Protein crystallography
- Track 4-2X Ray crystallography
- Track 4-3Crystal storage and processing
- Track 4-4Principles of protein crystallography
The availability of growth factors and the increasing knowledge base concerning the bone regeneration with modern techniques like recombinant signaling molecules, solid free form fabrication of scaffolds, synthetic cartilage, Electrochemical deposition, spinal fusion & ossification are new generated techniques for tissue-engineering applications. Biomedical Engineering research is the foremost research which includes Nano applications to biomedical sciences and tissue engineering, Nano medicines, Cell interactions with Nano particles, Revolutionary opportunities and future possibility of nanotechnology, Bio-nanotechnology Biomedical Nanotechnology, Tissue Growing Nanostructures, Nano-Mechanisms for Molecular Systems, Nano-Bio-Computing, Biomedical Application of Nanoparticles and Functional Nanomaterials and Devices for Biomedical Engineering.
- Track 5-1Biomaterials in biomedical engineering
- Track 5-2Protein-biomaterial interactions
- Track 5-3Biomaterials design and technology
- Track 5-4Protein Engineered Biomaterials
There are lot of applications used for protein but mostly we are having good research and number of companies and projects for the following applications Protein modification, targeting and degradation, Protein identification & validation, Protein profiling studies in diabetes, Imaging mass spectrometry and profiling of tissue sections, Designer proteins and Protein Dietary Supplements. As a research Protein Engineering market is $56 billion in 2012 to $168 billion in 2017, a compound annual growth rate (CAGR) of 10.9% from 2012 through 2017. There are almost 3000 people from 60-65 universities in USA working for Genetic and Protein Engineering.
- Track 6-1Protein identification and validation
- Track 6-2Protein modification, targeting and degradation
- Track 6-3Chemical genetic methodology
- Track 6-4ECM proteins and protein fragments
- Track 6-5Advances in cell and gene therapy
- Track 6-6Novel methods in regenerative medicine
- Track 6-7Molecular Breeding for sustainable Agriculture
- Track 6-8Plant Breeding
Transcriptome analysis and Gene Expression is the first and the important topics to be discussed. While going in depth of the subject, it is necessary to understand Transcriptome as Key Players in Gene Expression. For that we must know the basics knowledge of how the central dogma works. This can be achieved by gaining proper knowledge about functioning of mRNA, tRNA and rRNA. Gene expression analysis experimentations can focus on a subset of relevant target genes. The location of gene and relative distances between genes on a chromosome can be determined through Sequence mapping. Even in the lack of the reference genome, transcriptome can be created using de novo transcriptome assembly method. Globally around more number of Universities and institutes are carrying research on gene expression and transcriptome analysis.
- Track 7-1Transcriptomes of stem cells and cancer cells
- Track 7-2Role of microRNA (miRNA) and small interfering RNA (siRNA)
- Track 7-3Functioning of mRNA, tRNA and rRNA
- Track 7-4Cellular differentiation and carcinogenesis
- Track 7-5Serial analysis of gene expression
- Track 7-6Transcriptomic and proteomic profiling
- Track 7-7Transcription of gene
Protein Expression contains of the stages after DNA has been transcribed to messenger RNA (mRNA) from the process of Optimizing protein expression, Prokaryotic and Eukaryotic systems, Fusion protein therapeutics ,Cell line & cell culture development& Protein microarray studies. Recombinant production of proteins is one of the most powerful techniques used in the Life Sciences. There are nearly 3000 people from 60-65 universities in USA working for Protein Expression.The Oxford Protein Production Facility-UK (OPPF-UK) is a UK core facility for protein production located in the Research Complex at Harwell. The project has recently received additional funding of £2.3M from MRC to provide a huge range of highly specialized technologies incorporating robotic systems, for the high through put expression, purification & crystallization of recombinant proteins.
- Track 8-1Optimizing protein expression
- Track 8-2Prokaryotic and eukaryotic systems
- Track 8-3Cell line & cell culture development
- Track 8-4Fusion protein therapeutics
- Track 8-5Protein microarray studies
Cancer Genomics is the study of genetic changes in charge of disease, utilizing genome sequencing and bioinformatics. Cancer genomics is to enhance tumour treatment and results lies in figuring out which sets of qualities and quality communications effect diverse subsets of growths. Global Cancer Genome Consortium (ICGC) is a deliberate exploratory association that gives a discussion to combined effort among the world's driving growth and genomic specialists. The subjects like malignancy hereditary qualities, protein markers, Cancer Functional Genomics and Epigenomics, Bioinformatics & Systems Biology of Cancer and Big Data and Genome Medicine are secured in this taking after track.
- Track 9-1Cancer genetics
- Track 9-2Protein markers in cancer cells
- Track 9-3Bioinformatics & systems biology of cancer
- Track 9-4Cancer functional genomics & epigenomics
- Track 9-5Translation & clinical impact of cancer genomics
- Track 9-6Big data & genome medicine
Medical devices are the Instruments or other article, whether used alone or in combination used specifically for diagnostic or for therapeutic purposes and necessary for its proper application, intended for the purpose of diagnosis, prevention, monitoring, and treatment of various diseases.
Medical imaging envelop different imaging modalities and processes to image the human body for diagnostic and for treatment, therefore it plays an important role to improve public health for all population groups. Also, medical imaging is frequently justified in the foul up of a disease already diagnosed or treated.
- Track 10-1Radiography and echocardiography
- Track 10-2Magnetic resonance imaging (MRI)
- Track 10-3Elastography and Ultrasonography
- Track 10-4Thermography and Tomography
- Track 10-5Biomedical Instrumentation measurements
- Track 10-6Instrumentation for psychophysiological measurements
- Track 10-7Pacemakers and Defibrillators
- Track 10-8Ophthalmic and ENT instruments
- Track 10-9CT and PET scanners
Biomedical Engineering is the science of application of engineering principles to the fields of biology and health care of the human. Bioengineers work with professional like doctors, therapists and researchers to implement systems, equipment and devices in order to solve clinical problems which focus on the advances that improve human health and health care at all levels.
- Track 11-1Sequence and image analysis
- Track 11-2Proteomics and Transcriptomics
- Track 11-3Biomedical Modelling and Simulation
- Track 11-4Biomedical optics
- Track 11-5Therapeutic Engineering
- Track 11-6Interactive 3D modelling
- Track 11-7Telemedicine
Biomechanics is the study of systems and structures of biological organisms from the smallest plants to the largest animals react with external stimuli. In animals, biomechanics often refers to the study of how the skeletal and musculature systems work under different cases. In biomechanics it is repeated that the scientists often try to apply physics and other mathematical based forms of analysis to discover the limits and capabilities of biological systems.
- Track 12-1Implants and Vascular grafts
- Track 12-2Bionics and Biopolymers
- Track 12-3Sustainable materials
- Track 12-4Continuum biomechanics
- Track 12-5Ergonomy and Allometry
- Track 12-6Musculoskeletal and Orthopaedic Biomechanics
- Track 12-7Injury Biomechanics
- Track 12-8Cellular and Plant biomechanics
- Track 12-9Comparative biomechanics
- Track 12-10Bio tribology and Bio fluid mechanics
Cell engineering exploits the principles and methods of engineering to the complication of cell and molecular biology of both a basic and applied nature.
Tissue engineering is a technique which generates living tissue ex vivo for replacement or therapeutic applications through materials development, biochemical controls, cell culture, and genetic engineering. Tissue engineering uses biomaterials and cells to produce new tissues. Stem cells have infused great excitement in the field as a potentially powerful cell source to rebuild tissues.
- Track 13-1Bone bioengineering
- Track 13-2Cellular Therapies
- Track 13-3Cartilage biology
- Track 13-4Nerve regeneration
- Track 13-5Microscale biocomplexity
- Track 13-6Stem cells and Functional tissue
- Track 13-7Next generation sequencing
- Track 13-8Regenerative Medicine
- Track 13-9Cell fate mechanisms
Bio imaging reveils the complex chain of acquiring, processing and visualizing structural or functional images of living objects or systems, including extirpation and processing of image-related information.Image processing methods, such as denoising, segmentation, deconvolution and registration methods, feature detection and classification represent an indispensable part of bio imaging, as well as related data analysis and statistical tools are involved in this process.
- Track 14-1Cardiac Imaging
- Track 14-2Cancer Imaging
- Track 14-3Bio Optics
- Track 14-4Bio Image Informatics
- Track 14-5Bio probes
- Track 14-6Image data handling
- Track 14-7Bio-Sensors
Rehabilitation engineering is the study that links both clinical and biomechanical application of engineering to handle services, research, and development to determine people with disabilities. Rehabilitation engineering includes the systematic application of technologies, engineering methodologies, or scientific principles to meet the needs of, and address the barriers confronted by, individuals with disabilities in areas that include education, rehabilitation, employment, transportation, independent living, and recreation.
Neural engineering is the application of biomedical engineering principles to the nervous system.
- Track 15-1Virtual rehabilitation
- Track 15-2Orthoses and Prosthesis
- Track 15-3Scope of neural engineering
- Track 15-4Neural Tissue engineering
Bioinstrumentation deals with the use of bioelectronics instruments for the recording or transmission of physiological information. Biomedical devices are the linking of biology, sensors, interface electronics, microcontrollers, and computer programming, including biology, optics, mechanics, and electronics, chemistry, and computer science. Bioinstrumentation engineers will design, frame, test, and manufacture the advanced medical instruments and implantable devices into a single, more productive unit.
- Track 16-1Recent advances in patient treatment and care
- Track 16-2Recent Advances in spectroscopy
- Track 16-3Green techniques for medicinal chemistry
- Track 16-4High-throughput screening and Laboratory automation
- Track 16-5Computational molecular systems
Synthetic biology is a branch of biology and engineering. The subject combines various disciplines from within these domains, such as biotechnology, genetic engineering, molecular biology, molecular engineering, systems biology, biophysics, electrical engineering, computer engineering, control engineering and evolutionary biology. Synthetic biology applies these disciplines to build artificial biological systems for research, engineering and medical applications.
- Track 17-1Synthetic genomics
- Track 17-2Gene Signaling
- Track 17-3Genome Design
- Track 17-4Bioprocessing Engineering
- Track 17-5Synthetic Protein
- Track 17-6Synthetic Circuits
- Track 17-7Biomaterials (or) Synthetic Materials
Metabolic engineering is a powerful methodology aimed at intelligently designing new biological pathways, systems, and ultimately phenotypes through the use of recombinant DNA technology. Built largely on the theoretical and computational analysis of chemical systems, the field has evolved to incorporate a growing number of genome scale experimental tools. This combination of rigorous analysis and quantitative molecular biology methods has endowed metabolic engineering with an effective synergism that crosses traditional disciplinary bounds. As such, there are a growing number of applications for the effective employment of metabolic engineering, ranging from the initial industrial fermentation applications to more recent medical diagnosis applications. In this review we highlight many of the contributions metabolic engineering has provided through its history, as well as give an overview of new tools and applications that promise to have a large impact on the field's future.
- Track 18-1Industrial Applications of Metabolic Engineering
- Track 18-2Metabolic Engineering: Methods and Application
- Track 18-3Metabolic Engineering of Industrial Microorganisms
- Track 18-4Metabolic Engineering for Cell Culture and Medical Applications
- Track 18-5Metabolic Engineering for Fuels and Chemicals
- Track 18-6Computational Tools and Methods for Metabolic Engineering
- Track 18-7Design and Assembly of Metabolic Pathways
Systems biology is the computational and mathematical modeling of complex biological systems. It 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
- Track 19-1Computational Biology
- Track 19-2Neural Networking