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12 thInternational Conference on STRUCTURAL AND MOLECULAR BIOLOGY, will be organized around the theme “A spectrum of innovative approaches and solutions to Structural Biology”
Structural Biology 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 Structural Biology Congress 2018
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Structural bioinformatics is a structural biology studies which characterizes biomolecules and their arrangement at the molecular and atomic level. Structural bioinformatics is related to the prediction and analysis of the three dimensional structure of macromolecules such as protein, DNA, RNA. It deals with the generalization of overall folds, interactions, local motifs, structure and functional relationship and molecular folding of experimentally solved structures and computationally predicted structures. It provides an invaluable structural context for conservation and mechanistic analysis leading to functional insight. Lots of structural data is becoming valuable and available and structural proteomics is the process of the high-throughput characterization of the three-dimensional structures of biological macromolecules.
Proteomics is basically a large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. This is mainly achieved using different technologies such as X-ray crystallography and NMR spectroscopy.
- Track 1-1Algorithms
- Track 1-2Software
- Track 1-3Databases
- Track 1-4Tools
Single-molecule studies may be contrasted with measurements on an ensemble or bulk collection of molecules, where the individual behavior of molecules cannot be distinguished and only average characteristics can be measured. To study the individual biomolecules, biophysical methods have been developed. Thus it enables the biologist to monitor all the biological process and helps in understanding the underlying mechanism. Further, removal of ensemble average and fluctuations catalytic properties can be elucidated. Advancements like applying force on the biomolecules helps to obtain important information like how proteins couples function to structure. Thus with a clearer understanding of the individual components that comprise integrated living systems, researchers are better able to grasp the many complex interactions between gene products or molecules that cause disease.
- Track 2-1Single Molecule Biophysics
- Track 2-2Folding
- Track 2-3Channels and Transporters
- Track 2-4Enzyme Catalysis
Molecular modeling is a scientific field of simulation of molecular systems. It represents the molecular structure numerically and simulating its behavior with the equations of quantum physics. Basically, it provides a tool to visualize 3D structure and to analyze the properties and behavior of the molecules on atomic level. It is widely used in drug designing to identify new lead compounds.
- Track 3-1Molecular Mechanics
- Track 3-2Molecular Docking
- Track 3-3Monte Carlo Simulations
- Track 3-4Single Molecule Biophysics and Structural Biology
- Track 3-5Quantum Mechanical and Semi-Empirical Calculations
The arrangement of chemical bonds between atoms in a molecule specifically which atoms are chemically bonded to what other atoms with what kind of chemical bond, together with any information on the geometric shape of the molecule needed to uniquely identify the type of molecule. Also, various functions in the biological system depend on the structure of proteins. The dynamics of protein can be scrutinized mainly by determining the structure and function. Protein-protein interaction, protein interaction with other molecules, catalysis of enzymes and folding and misfolding that are associated with the diseases can be studied through structure determination. It is a procedure by which three dimensional atomic co coordinates are solved by analytical techniques. In crystallography, it refers to elaboration of three dimensional positional coordinates. The most common techniques used in structure determination are X-ray crystallography, NMR spectroscopy, electron microscopy and molecular modeling. Very often scientists use them to study the "native states" of biomolecules.
- Track 4-1X-ray Crystallography
- Track 4-2Nuclear Magnetic Resonance
- Track 4-3Cryo-electron Microscopy
- Track 4-4Mass Spectroscopy
- Track 4-5Single Particle Analysis
- Track 4-6Structural Genomics
- Track 4-7Structural Pathology
- Track 4-8Structural Bacteriology
Computational Biology includes most of the aspects bioinformatics. It is the science of using biological data to develop algorithms or models to understand among various biological systems and relationships. There are approximately more than 3.3 million sequences without structure. This gap in the structural knowledge can be bridged by computation. Computational biology has become an important part of developing emerging technologies for the field of biology. Identification of suitable template of the related protein family plays a major role. The most common approaches in computational biology are ab-initio modeling, homology modeling and threading method. Among these approaches, genetic algorithm is found to be a promising co-operative computational method to solve the structure problem in reasonable time.
- Track 5-1Structural Bioinformatics and Computational Biology
- Track 5-2Homolgy Modeling
- Track 5-3Ab-initio Method
- Track 5-4Threading
Structural molecular biology illuminates the biochemical structures of all living systems at the atomic and molecular level. It also helps to understand the interaction between these components at a macroscopic level. This understanding helps in various fields like biotechnology, forensics and drug discovery.
Structural molecular biology comprehends the areas of science devoted to a detailed understanding of the fundamental molecular and biochemical components of living systems and of how these components interact in an organism.
- Track 6-1Protein Behaviour
- Track 6-2Macromolecular Interaction
- Track 6-3Chemical Biology
- Track 6-4Protein Function
Viruses are small self-replicating organisms. Even though individually viruses are simple, as a group they are exceptionally diverse in both replication strategies and structures. To study the life cycle of human virus, we use various technologies like X-ray crystallography, cryo-electron microscopy. We investigate macromolecular interactions associated with virus cell entry, genome replication, assembly, and maturation. Viruses are very simple enough that we can aspire to understand their biology at a molecular level. Our efforts are directed towards using structural information for the development of anti-viral drugs and vaccines.
- Track 7-1X-ray Crystallography
- Track 7-2Solution NMR Spectroscopy
- Track 7-3Cryo-electron Tomography
Structural bioinformatics is a highly cost efficient solution for accelerated determination of the three dimensional structures of proteins. Purely computational prediction methods, such as advanced fold recognition, composite approaches, ab initio fragment assembly, and molecular docking are routinely applied today. Hybrid method combines information from a varied set of experimental and computational sources. Hybrid approaches helps to overcome these limitations by incorporating limited experimental measurements, reliable structural models can be computed and unlikely predictions eliminated. Hybrid approaches take advantage of data derived from a range of very different biochemical and biophysical methods.
- Track 8-1Hybrid of Experimental Methods
- Track 8-2Hybrid of Computational Methods
- Track 8-3Hybrid of Experimental and Computational Methods
Sequencing is widely used to study how different organisms are related and how they are evolved. It is also used to study genomes and the proteins that they encode. With this sequencing information, changes in genes, disease association and drug targets are identified. It is widely used in medicinal field as a form of genetic testing. Vast amount of data is available as DNA sequencing is done on large scale. By August 2005, hundred billion bases were collected which represented 165,000 different organisms. As this data is numerous, need for new methods to analyze the sequences was critical. Thus Bioinformatics plays a major role in collecting, storing and analyzing these data with different tools.
- Track 9-1Next Generation Sequencing (NGS)
- Track 9-2Deep Sequencing for Protein Structure Determination
- Track 9-3Sequencing for Cancer Studies
- Track 9-4Advances in Sequencing
Drug designing is an inventive process of finding new medication based on the target knowledge. A drug is commonly a small compound which produces a therapeutic effect. There are different methods of drug designing. Designing a drug based on the three dimensional structure and computational techniques are known as structure based drug design and computer aided drug design respectively. There are various stages involved in computer aided drug design such as hit identification, hit to lead optimization and lead optimization. In structure based drug design, the structure is obtained either through x-ray crystallography or NMR spectroscopy. Ligand-based drug design depends on the knowledge of molecules that bind to the biological target of our interest. Correlation between calculated and theoretical can be derived and this QSAR relationship is used to derive analogs.
- Track 10-1Structure Based Drug Design
- Track 10-2Ligand Based Drug Design
- Track 10-3Drug Interactions
- Track 10-4Virtural Screening and Drug Design
- Track 10-5Computation Biology for Drug Target Identification and Validation
- Track 10-6Nanomedicine
Cells consist of proteins called receptors which bind to signaling molecule. They in turn initiate a physiological response and also it governs the cellular activities and coordination. It controls gene expression which is vital for cells to function properly. Also, cell signaling network helps to understand how it responds to the environment.
- Track 11-1Analysis of Gene Expression
- Track 11-2Protein Structure and Cell Signaling
- Track 11-3Ion Channel and Enzyme Linked Protein Receptors
- Track 11-4GPCR-s Structure and Function
- Track 11-5Computational studies of GPCRs
- Track 11-6GPCR Drug Discovery
- Track 11-7Targeting Signaling Networks
- Track 11-8Signaling networks and Cancer
The main purpose of structural biologist is to determine the structure of the protein and also drug designing such as identification of hits, leads and candidate drugs. Protein plays vital role in all biochemical reactions that occurs in the body. They acts as carriers and also provides strength and structure. Determining structure of a protein has always been tedious. Innovative ideas are being progressed in different fields of structural biology.
- Track 12-1Macromolecular Machinery
- Track 12-2Membrane Proteins
- Track 12-3Pathogens and Viruses
- Track 12-4Nanopatterning
- Track 12-5Multisclae Modeling for Signaling Proteins
Structural biology is the oldest of all biological disciplines and is still an expanding field. The main goal of structural biology is to achieve a complete understanding about the cellular structure in relation to the molecular mechanisms involved in the cellular processes. New insights are currently emerging into the macromolecular structures which involves in the signal transduction. It encompasses a full range of relationship from tissues to molecules. Structural biology has a very broad range and is highly diversified.
- Track 13-1Technological Advances in Existing Methods
- Track 13-2New and Potentially Disruptive Technologies
- Track 13-3Advances in Structure Determination
- Track 13-4Advances in Drug Design
- Track 13-5Advances in Tool Development
- Track 13-6Advances in imaging Technologies
One of the major areas of interest is cancer research. Cancer is defined as the abnormal growth of cells. There are numerous types of cancer that affects people of all age. Structural biology combines with molecular biology in order to design novel drugs mainly to cure cancer. The biologists carry out research in order to understand the biomolecules, identify different drug targets and improvise cancer therapies
- Track 14-1Antibiotic Resistance
- Track 14-2Structural Biology of Oncogenic Drug Targetes
- Track 14-3Molecular Chaperones as Cancer Drug Targets
- Track 14-4Towards Drug Discovery
- Track 14-5Cancer Diagnostic Market
The main aim of structural biology is to understand the biomolecules at the atomic level. There arise complexities in protein structure prediction, function prediction, misfoldings and understanding the dynamics and interactions. As they are solved on large scale, a gap forms between the structure data and the sequence data. Bridging this gap is one of the important tasks. Some of the complex areas are signaling proteins, protein folding and intrinsically disordered proteins.
- Track 15-1Targeting Intrinsically Disordered Proteins
- Track 15-2Catching the Complexity of Dynamic Nanomachines
- Track 15-3Bridging the Gap between Sequence Data and Structure Data
- Track 15-4Networks of Signaling
- Track 15-5Protein Folding Dynamics