Structural Biology 2018
The EuroSciCon on Structural Biology is going to be held during March15-16, 2018 at Barcelona, Spain. The Structural biology conference focuses on the topics Analytical Techniques, Computational Chemistry, Computational Methods and Biology, Molecular Modelling, Simulation & Molecular Graphics, Molecular Engineering, Molecular Design Software, 3D Protein Structure Predictions, Structural Bio-informatics, Drug Designing, Biomarkers & Proteomics, Databases, Chemical Biology, Biophysics, Genome Informatics and Cancer Immunotherapy.
By bringing together interdisciplinary researchers working in a variety of applicational areas, this Euro Structural Biology would lay a platform for all the Academicians, Scientists, Young Researchers, Industrial Members to interact and intend their advanced scientific researches with global eminent scientists and accelerate progress in this area.
Theme: Clustered Science Technologies for emerging & advancements in Structural Biology
This conference would be a great opportunity for the global scientists with great mark of vision in the field of Scientific advancing Technologies.
Importance & Scope:
Structural Biology a diversified interrelated science used to predict three-dimensional structures of proteins of unknown structure and to design new proteins using new computational techniques
The work continues to increase our understanding of the diverse roles molecules play in biology and to spur advances in medicine. The structural Biology is also used in the Pharmaceutical Industries to increase our understanding of biological processes and lay the foundation for advances in drug designing, disease diagnosis, treatment and prevention. This gives an expansion of the pharmaceutical industries boosting the growth for Animal & Human Health Care.
Structural Biology emphasizes the 3D study of complete and coherent picture of biological phenomena at the molecular and atomic levels such as proteins, nucleic acids, and viruses using X-ray crystallography, nuclear magnetic resonance, cryo-electron microscopy and computational methods to determine how structure informs on the function and mechanism of these biological macromolecules.
Biomolecules are too tiny to view microscopically even with the most advanced microscopes. The methodologies used by the scientists involve the development and application of advanced methodologies measuring vast numbers of identical molecules at the same time.
Euro Structural Biology deals with Analytical Techniques, Computational Chemistry, Computational Methods & Biology, Molecular Mechanism, Multiscale Modeling Simulation & Molecular Graphics, Molecular Engineering, Molecular Design Software, 3D Protein Structure Predictions, Structural Bioinformatics, Drug Designing & Proteomics, Chemical Biology, Biophysics and Genome Informatics.
Directors/Managers & Business Delegates, Founders, Director of Laboratories, Universities, Industries, Investigators, Post-Doctoral Fellows, Research and Diagnostic Laboratories, Clinical Fellows, Research Scholars, Students, Technology Experts, Biomedical Research companies.
Rise in the number of clinical trials, toxicological studies, and health awareness for nutritional products, rapid growth of structural biology analytical instruments, software and solutions, and use of structural biology as a base for drug designing will propel the growth of pharmaceuticals market.
Reasons to Attend the Conference:
Solicit the new strategies of business sessions on structural biology and the drug designing which has an enormous & explicit growth in pharmaceutical industries. As the conference focuses on the Analytical techniques of structural elucidations through NMR, X-ray crystallography, cryo-EM, drug designing by computational methods and techniques, bioinformatics; Multiscale Modeling, Simulation & Molecular Graphics; Thus, providing the networking for industrial entrepreneurs dealing with the analytical instruments and the software useful in these industries.
Conference provides the Educational opportunities to the students, Networking with peers, grow your professional network, Expand Your Resources, build your knowledge, new ideas and approaches that make more effective and efficient at work and fun on a single platform. A good conference forces you to grow and challenge yourself.
Major Structural Biology Related Associations around the Globe:
- The American Society for Cell Biology
- American Crystallographic Association
- The British Society for Immunology (BSI)
- New England Structural Biology Association
- International Society for Computational Biology
- Bioinformatics society of India
- Max Planck Society, Germany
- German Society for Cell Biology
- Australian Society for Biochemistry and Molecular Biology
- Australian Society for Biophysics
- American Society for Mass Spectrometry
- European Crystallographic Association
- Iran Society for Cell Biology
- Chinese Society for Cell Biology
- Australia and New Zealand Society for Cell and Developmental Biology
- Asian Pacific Organization for Cell Biology
- Ukrainian Society of Cell Biology
- Sociedad de Biología Cellular de Chile
- The Korean Society for Molecular and Cellular Biology
- Indian Society of Cell Biology
- The Philippine Society for Cell Biology
- UP Cell Biological Society
- French Societies for Cell Biology
- The Brazilian Society for Cell Biology
- Swiss Society for Cell Biology
Major Structural Biology Related Research Units Globally:
- MIT department of Biology
- Structural Biology NMR Facility - University of Minnesota
- European Molecular Biology laboratory
- RIKEN Advanced Institute for Computational Science, Tokyo
- Cambridge Institute for Medical Research, University of Cambridge
- Max Planck Society, Germany
- UCLA, Chemistry & Biochemistry
- Department of Anatomy and Structural Biology, Einstein College
- Department of Structural and Cellular Biology - Tulane University
- Structural Biology — Penn State University
- Chemical and Structural Biology – The Rockfeller University
Top Universities in Structural Biological Studies:
- Harvard University
- Massachusetts Institute of Technology
- University of California--Berkeley
- Stanford University
- University of Oxford
- University of Cambridge
- University of California--San Diego
- Johns Hopkins University
- Cornell University
Biomolecules are too small to view even by the advanced microscopes. Structure probing biochemical techniques determine these biomolecular structures in vast numbers of the same identical molecules at once. Scientists use them to study the "native states" of biomolecules. Few of the best methods determining the structures include X-ray crystallography, Cryo-Electron Microscopy and Nuclear Magnetic Resonance.
1. Mass spectrometry
2. Macromolecular crystallography Proteolysis
3. Nuclear magnetic resonance spectroscopy of proteins (NMR)
4. Electron paramagnetic resonance (EPR)
5. Cryo-electron microscopy (cryo-EM)
6. Multiangle light scattering
7. Small angle scattering
8. Ultrafast laser spectroscopy
9. Dual-polarization interferometry and circular dichroism
Computational chemistry simulates chemical structures and reactions numerically, based on the fundamental laws of physics. Chemists apply this existing computer programs and methodologies to specifically solve chemical questions. Major areas may be distinguished within computational chemistry.
1. Electronic structure determinations
2. Geometry optimizations
3. Frequency calculations
4. Transition structures
5. Protein calculations
6. Electron and charge distributions
7. Potential energy surfaces
8. Rate constants for chemical reactions
9.Thermodynamic calculations- heat of reactions, energy of activation.
Computer programs predict atomic, molecular properties and reaction paths for chemical reactions of biomolecules. Structural genomics emphasizes high throughput of every protein encoded by the genome determining protein structures. These methods help in scrutinizing the protein structures which are cost effective and time conservative.
1. Molecular mechanics
2. Electronic structure theory
3. De novo methods
4. Ab initio modeling
5. Sequence-based modeling
Molecular modelling exhibits all the hypothetical methods and computational procedures used to mimic the behavior of macromolecules. In conventional monoscale modeling and simulation approaches, the scope and validity of a biological model is restricted to a specific time and space scale.
Molecular simulation requires the use of the efficient computers in stimulating the interactions among the atoms to study the material properties, these simulations based on the methods help in the quantum mechanical results ranging from atoms to clusters of molecules based on the time from milliseconds or longer. Molecular Graphics helps in characterizing the global and local properties of molecules, processes and chemical reactions.
The techniques are applied in various emerging fields like drug designing in labs, computational chemistry, materials science and computational biology for studying macromolecular systems ranging from small to large biological systems. The techniques are performed using the computers for modelling, research studies, properties of atoms and molecular interactions.
1. Drug design
2. Materials Science
3. Protein folding
4. Enzyme catalysis
5. Protein stability
6. Conformational changes associated with biomolecular function
7. Molecular recognition of proteins, DNA and membrane complexes
Molecular Engineering is integrated by nature, encompassing aspects of clustered science technologies. Being a dynamic and evolving field based on molecular principles molecular engineering uses high performance computing in huge vastly using computers in simulation, great tools and instruments to make and analyze the interactions of molecules and the surfaces of materials at the molecular and Nano-scale.
1. Computational and Theoretical Approaches
3. Molecular Catalysis
4. Surface Science
5. Synthetic Biology
The limitations of technology have led to serendipitous methods for rendering the naive molecules and atoms in depiction with good visibility. The aspects related to constructing molecular models has always pushed the limits of display technology, and has seen several cycles of integration and separation of compute-host and display.
1. Molecular graphics
2. Interactive molecular drawing and conformational editing
3. Building polymeric molecules, crystals, and solvated systems
4. Geometry optimization
5. Molecular Dynamics
The approach generally summarizes the usage of software tools for protein structure predictions, as a key for understanding and manipulating of its biochemical and cellular functions. This major aspect is based on computational aspects used in Bioinformatics and chemistry. Computational prediction methods, as ab initio fragment assembly, advanced fold recognition, composite approaches, and molecular docking are applied to extend the study of protein structures.
1. Homology modeling
2. Secondary structure prediction
3. Transmembrane helix and signal peptide prediction
Analysis and prediction of 3D-structures of macromolecules such as proteins, RNA, and DNA by computational methods has brought biological insights and global prospective. Structural bioinformatics tools have been developed, evaluated, applied to answer specific questions concerning a broad range of topics. Structural bioinformatics databases offer enormous possibilities for gathering analysis of available information about biomacromolecules and in broadening the possibility of analysis.
1. Protein Data Banks & Structural Classification
2. Molecular Modelling
3. Protein Structure Predictions
Drug designing involves the use of 3D information about biomolecules obtained from analytical techniques which is more traceable when there is a high-resolution structure of a target protein bound to a potent ligand. Molecular mechanics or molecular dynamics is most often used to estimate the strength of the intermolecular interactions between the molecule and its biological target. Computational methods have geared up in the discovery of huge number of iterations providing the novel structures.
Biomarkers includes tools and technologies that aids in dynamic and powerful approach to understand the spectrum of neurological diseases in knowing the prediction, cause, diagnosis, progression, regression, or outcome of treatment of a disease.
1. Ligand-based drug design
2. Structure-based drug design
Bioinformatics being a computer-based discipline in science, emphasizes on the databases and software developmental tools. The biological phenomena are studied based on the biomolecules their interactions extending to the complete metabolism of the organism and in understanding the evolution of life. This facilitates in elucidating the intrinsic cellular studies, genetic factors, genetic diseases, medications and correlation with the other evolutionary species. The databases realm within them the data source of every biomolecule thus making it easily accessed, managed and updated to the researchers.
1. Sequence databases
2. Structures databases
3. Functional databases
4. Species-specific data
Experimental and computational approaches are required to integrate and interpret the data properly to gain molecular understanding of fundamental biological mechanisms and to design small-molecule probes that can perturb biological pathways in informative and potentially therapeutic ways.
Developing and applying experimental and computational approaches to elucidate molecular structure, design novel molecules, and study complex biological processes.
1. Chemical probes
2. Single molecule techniques
3. Structure-based drug discovery and design
4. Structure and mechanism of macromolecular complexes
Advancements in the scientific technologies paved the way in anticipating 3D structures and in quantifying dynamics of basic cellular components to atomic level. The cellular and molecular biology extremely use cutting-edge tools of biophysics like protein- and RNA-based assemblies, enzymes, receptors, ion channels, transport proteins, protein-ligand complexes, quantitative analyses of chaperones.
1. Cellular Biophysics
2. Molecular Biophysics
Genome Informatics plays a major role in computational biology in the development of tools for DNA sequence information and analysis, gene mapping, genetic variation, complex trait mapping, predict protein sequence and structure. Next Generation sequencing results in large amounts of long or short DNA reads requiring assembly process to generate the complete genome sequence. De novo genome assembler programs have been written to detect overlaps between reads, to assemble overlaps into contigs, and then combine contigs into scaffolds obtaining a draft genome sequence.
There is scope in the development and maintenance of databases of genomic and genetic data which include new tools for annotating complex genomes to expand their utility.
Treatments that help in stimulating the immune system in fighting cancer-serves the new approaches in cancer therapeutics. New research is constantly looking for novel and more refined ways for managing cancer or treating by effective drugs. Major strategies aim at exploiting the therapeutic potential of tumor-specific antibodies and cellular immune effector mechanisms.
The combinational studies of structural biology and Molecular modelling focuses on the drug designing.
Cancer research studies has laid a good strategy in studying the biomolecules leading advancements I cancer immune therapies.
- Monoclonal antibodies
- Cancer Vaccines
- Non-Specific Immunotherapies
- Antibiotic resistance
- Oncogenic drug targets
- Molecular chaperones as cancer drug targets
- Drug discovery
Viruses show different morphologies in their shapes and sizes. These are smaller in structures than the bacteria. Though these are simpler as an individual, when formed in group they are exceptionally diverse both in replication strategies and structures. Many viruses are important human pathogens.
- X-ray crystallography
- Solution NMR spectroscopy
- Cryo-electron tomography
Market of Structural Biology:
The drug discovery sector is anticipated to grow at a lucrative CAGR owing to continual introduction of software modifications with focus on enhanced drug designing aimed to accelerate the process in identifying novel therapeutic agents.
According to the study by Grand View Research, Inc., the structural biology & molecular modeling techniques market has accounted for USD 2.52 billion in 2015. This is expected to grow at a CAGR of 18.2% in the coming years.
The market is especially driven by an increase in the predominantly by chronic diseases with acquired drug resistance that elucidates the requirement of new and advanced therapeutics for mankind. This pave the way in huge clinical urgency to embody structural biology & molecular modeling techniques for the developments in new and advanced generation of drugs.
The increasing demand for molecular modeling techniques is essentially attributable to the significance in cost reduction enabling. This is as the prediction software identifies possible adverse reactions and showcases the drug efficacy and toxicity in the pre-clinical stages, thereby decreasing the chances of drug failure in the later stages. Thus, the factors aid as the important reasons responsible for the widened market demand.
Global structural biology & molecular modeling techniques market share:
Structural biology & molecular modeling techniques market, by tools, 2014 – 2025: