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14th International Conference on Structural Biology, will be organized around the theme “Navigating the Future Advancements in Structural Biology”

Structural Biology 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 2018

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Structural biology is defined as a branch of molecular biology which deals with biophysics and biochemistry regarding the molecular structure of biological macromolecules. It also provides information about their structural alterations and how it affects their function. This process of determination of structures of proteins, nucleic acids may take years as the shape, size and assemblies of these molecules may be altering the function. Biologists show great interest as they deal with the determination of the function of macromolecules. This process of determination of structures of proteins, nucleic acids may take years as the shape, size and assemblies of these molecules may be altering the function.

  • Track 1-1Biochemistry
  • Track 1-2Biophysics
  • Track 1-3Alternations in Protein Structure
  • Track 1-4Biological system
  • Track 1-5Dimensions in Structure determination
  • Track 1-6Structural modifications in nucleic acids
  • Track 1-7Proteomics
  • Track 1-8Call-map proteomics
  • Track 1-9Structure-based drug design
  • Track 1-10Expression proteomics

Biomolecules are too small to observe in detail, even with the most advanced light microscopes. These may include macro and micro molecules along with natural products. These may be endogenous and exogenous in nature. Structural biologists generally use these methods to determine the structures of identical molecules in a huge quantity at a time. Scientists use these methods to study the “real states” of the biomolecules. Some of the best methods include X-ray crystallography, Cryo-Electron Microscopy and Nuclear Magnetic Resonance.

  • Track 2-1X-ray crystallography
  • Track 2-2Cryo-Electron Microscopy
  • Track 2-3Nuclear Magnetic Resonances
  • Track 2-4Powder diffractometry
  • Track 2-5Mass spectroscopy
  • Track 2-6Dual polarisation interferometry
  • Track 2-7Multi-angle light scattering Technique
  • Track 2-8Ultra-fast laser spectroscopy

Computational approaches include most of the aspects of bio-informatics and are considered as a boon for structural biology. The method of molecular structure determination by experimental way is time-consuming and costly. To overcome these constraints, computational approaches like ab-initio modelling, homology modelling, advanced fold recognition and threading method are used.

  • Track 3-1Homology modeling
  • Track 3-2Ab-initio method
  • Track 3-3Threading
  • Track 3-4Discoveries through computational approaches

This is a cost effective approach for determining the protein structure. The computational prediction methods, such as initiating fragment assembly, advanced fold recognition, composite approaches, and molecular docking are regularly applied in recent times to expand our understanding of protein structures. Nevertheless, predicted structures are not given the same credits as their experimental counterparts.  Hybrid approach is a channel to overcome these disadvantages, by incorporating limited experimental measurements, reliable structures can be computed and unlikely predictions are eliminated. The current researches are showing great interest in this method of approach.

  • Track 4-1Hybrid of experimental methods
  • Track 4-2Hybrid of computational methods
  • Track 4-3Hybrid approaches in complementing high-resolution structural biology
  • Track 4-4Determining protein complex structures
  • Track 4-5Bottom-up integration of atomic detail crystallography
  • Track 4-6NMR structures

Sequence analysis can be explained as a process of exposing DNA, RNA or peptide sequence to a wide range of analytical methods in order to understand its structure, function and evolution. The methods include sequence alignment, biological databases. The sequences are being compared to that of the known functions, harmoniously to understand the biology of the organism which gives the new sequence. Synergistic use of three-dimensional structures and deep sequencing is done to realize the effect of personalized medicine.

  • Track 5-1Profile comparision
  • Track 5-2Sequence assembly
  • Track 5-3Gene prediction
  • Track 5-4Protein Structure Prediction
  • Track 5-5Membrane protein structure and function analysis using complementary methods
  • Track 5-6Deep sequencing for protein structure determination
  • Track 5-7Synergistic use of 3D structures and deep sequencing to realize personalized medicine
  • Track 5-8Deep sequencing for cancer studies
  • Track 5-9Deep sequencing of HIV

Enzymes play a crucial role in signalling the cellular and metabolic pathways. Research works are going on to identify, how the enzymes function at molecular and atomic level by combining the modern biochemistry and structural biology.

  • Track 6-1Protein engineering
  • Track 6-2Protein prenylation techniques
  • Track 6-3Steady state kinetics
  • Track 6-4Calorimetric methods
  • Track 6-5Chemical analysis

A database is an organised collection of data. As a result of  enormous research which is being done in Structural biology massive data has been produced. In order to assemble the data in an catalogued manner, bioinformatics databases are used. Various databases have been created to store biological data, such as sequence databases, structure databases, signalling pathway databases.

  • Track 7-1Protein data bank
  • Track 7-2Electron microscopy data bank
  • Track 7-3Protein structure classification database
  • Track 7-4Classification of structural database
  • Track 7-5Classification of protein structure

Generally cells communicate by the release of chemical signals. They are often secreted from the cell and released into the extracellular space. Regulation of gene expression comprises a comprehensive range of mechanisms that are used by cells to regulate the production of specific gene products, and is familiarly termed as gene regulation. Sophisticated programs of gene expression are extensively observed in biology, for example to trigger developmental pathways, adapt to new food sources, or respond to environmental stimuli. Eventually the gene expressions can be adjusted, starting from transcription, initiation to post translation modification of a protein.

  • Track 8-1Protein crystallography
  • Track 8-2Adrenergic receptor
  • Track 8-3GPCR
  • Track 8-4Protein structure
  • Track 8-5G-protein-coupled receptor

Molecular modelling  constitutes all the hypothetical methods and computational procedures used to mimic the behaviour of macromolecules. These techniques are used in diverse fields of drug design, computational chemistry, materials science and computational biology for studying macromolecular systems ranging from small to large biological systems. In order to simulate the interactions between the atoms, for further understanding of the properties, molecular simulation uses powerful techniques. Such simulations involve methods that range from very detailed quantum mechanical calculations on atoms to coarse-grained classical dynamics of large groups of molecules on a timescale of milliseconds or longer.

 

  • Track 9-1Protein folding
  • Track 9-2Enzyme catalysis
  • Track 9-3Protein stability
  • Track 9-4Conformational changes associated with bio-molecular function
  • Track 9-5Molecular recognition of proteins
  • Track 9-6DNA and membrane complexes

Molecular dynamics (MD) deals with the study of physical movements of the atoms and molecules using computer simulation method, so it is referred to as one of the type of N-body simulation. The atoms and molecules are allowed to interact for a fixed period of time, giving a view of the dynamic evolution of the system. The trajectories of atoms and molecules are commonly determined by solving them numerically using Newton’s equations of motion for a group of collaborating particles. The forces between the particles and their potential energies are calculated using inter-atomic potentials or molecular mechanics force fields.

  • Track 10-1Hybrid QM/MM
  • Track 10-2Coarse-graining and reduced representations
  • Track 10-3Potentials in ab-initio methods
  • Track 10-4Steered molecular dynamics (SMD)

Drug design is an innovative process to asset new medication based on the knowledge of biological target. Drug is most commonly a small molecule that inhibits or activates the function of a biomolecule, which in turn outcomes in a therapeutic benefit to the patient. Drug design commonly but not essentially relies on computational techniques. This type of modelling is often mentioned to as computer-aided drug design. Drug design that depends on the knowledge of the 3D structure of the target is known as structure-based drug design. The main methods available for drug design are structure based drug design and ligand based drug design.

  • Track 11-1Drug targets
  • Track 11-2Ligand-based design
  • Track 11-3Structure-based design
  • Track 11-4Binding site identification
  • Track 11-5Scoring functions
  • Track 11-6Computer-aided drug design

The main focus of a structural biologist is protein structure determination and drug design. Protein plays an important role in human body. Living things would not exist without proteins. The proteins are usually involved in all forms of expressions of the living organism. Most of the proteins are evolved in providing structure to the cell while the others tend to bin and carry vital molecules all through the body. Some proteins are involved in biochemical reactions in the body which are termed as enzymes. Others are involved in muscle contractions and immunity. Structure determination of proteins has always been a challenging filed. The complex areas in the field include viruses, pathogens, membrane proteins and signalling pathways. Novel progressions are being done in the arenas of nano-patternig and multi-scale modelling of cell signalling proteins.

  • Track 12-1Membrane proteins
  • Track 12-2Pathogens and viruses
  • Track 12-3Nano patterning
  • Track 12-4Multi-scale modeling for signalling proteins
  • Track 12-5Macromolecular designing

The main aim of integrating structural biology data into cancer research is to design and discover novel and effective drugs to cure the diseases. Structural biology combined with molecular modelling mainly aims at drug designing. Consequently, a number of Structural Biologists are conducting cancer research, to speed-up the process of understanding the mechanism of biomolecules in order to improve the newer cancer therapies.

  • Track 13-1Role of proteosomes
  • Track 13-2Cop9 signalosome in protein degradation
  • Track 13-3Transcription regulation

Structural biology aims at understanding biomolecules at atomic level. All aspects in structural biology research seem to be complex. Research methods have proved to be successful in solving many of the complexities such as protein structure determination, functional annotations and drug designing. Though protein structures are solved on a large scale, the gap between available sequence data and structure data is enormous. Bridging this gap is one of the main challenges.

  • Track 14-1Nano-machinery
  • Track 14-2Network signalling
  • Track 14-3Protein folding

Structural biology is one of the progressing fields. In the course of time many developments have been taking place. Huge numbers of solved structures have exaggerated rapidly. The field of drug design and drug discovery has been advanced. Functional annotations are another field where progressions are rapidly evolving. Alterations in order to improve the effectiveness of prevailing tools can also be noted. Remarkable advances have been made in the areas of technical imaging and advancement of hybrid methods to understand the structure and function of proteins.

  • Track 15-1Structure determination
  • Track 15-2Technological Advances in Existing Methods
  • Track 15-3New and Potentially Disruptive Technologies
  • Track 15-4Advances in Drug Design
  • Track 15-5Advances in Tool Development
  • Track 15-6Advances in imaging Technologies