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Scientific Program
21st International Conference on Structural Biology, will be organized around the theme “”
Structural Biology 2022 is comprised of 18 tracks and 6 sessions designed to offer comprehensive sessions that address current issues in Structural Biology 2022.
Submit your abstract to any of the mentioned tracks. All related abstracts are accepted.
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Enzymes play an important role in signalling the cellular and metabolic pathways. Research works are happening to spot , how the enzymes function at molecular and atomic level by combining the fashionable and structural biology.
- Track 1-1Protein engineering
- Track 1-2Protein prenylation techniques
- Track 1-3Calorimetric methods
- Track 1-4Chemical analysis
Structural biology is one among the progressing fields. within the course of your time many developments are happening . Huge numbers of solved structures have exaggerated rapidly. the sector of drug design and drug discovery has been advanced. Functional annotations are another field where progressions are rapidly evolving. Alterations so as to enhance the effectiveness of prevailing tools also can be noted. Remarkable advances are made within the areas of technical imaging and advancement of hybrid methods to know the structure and performance of proteins.
- Track 2-1Advances in Drug Design
- Track 2-2Advances in Tool Development
- Track 2-3Advances in Imaging Technologies
A database is an organised collection of knowledge . As a results of enormous research which is being wiped out Structural biology massive data has been produced. so as to assemble the info during a catalogued manner, bioinformatics databases are used. Various databases are created to store biological data, like sequence databases, structure databases, signalling pathway databases, etc.
A database may be a structured collection of knowledge . within the field of structural biology enormous research is being done and as a result massive data is being produced. so as to pile the info in an organized manner, bioinformatics databases are used. Various databases are created to store biological data, like sequence databases, structure databases, signalling pathway databases, etc. within the field of structural biology, the mainly used databases are Protein Data Bank (PDB), microscopy Data Bank, Protein Structure Classification Database (CATH) and Structural Classification of Protein (SCOP).
- Track 3-1Classification of structural database
- Track 3-2Classification of protein structure
- Track 3-3Protein structure classification database
- Track 3-4Protein data bank
- Track 3-5Electron microscopy data bank
Molecular techniques are utilized in biology, biochemistry and genetics for the analysis of DNA, RNA and protein. Molecular cloning is that the widely used molecular technique. the various methods in biology are Haemocytometer cell counter, restriction endonuclease digestion, DNA ligation, transfection, western blot, plasmid purification, electroporation, heat shock method and ELISA.
- Track 4-1DNA sequencing
- Track 4-2Gene delivery
- Track 4-3Microarrays‎
The main aim of integrating structural biology data into cancer research is to style and find out novel and effective drugs to cure the disease. Structural biology combined with molecular modelling mainly aims at drug designing. Consequently, variety of Structural Biologists are conducting cancer research, to speed-up the method of understanding the mechanism of biomolecules so as to enhance the newer cancer therapies.
Major a part of research is being administered within the area of cancer. the most aim is to style and find out novel and effective drugs to cure the disease. Structural biology combined with molecular modelling mainly aims at drug designing. Subsequently, numerous team leaders in Structural biology perform cancer research to accelerate the exploitation of molecular understanding of biomolecules within the advancement of novel cancer therapies.
- Track 5-1Cancer Systems Biology
- Track 5-2Cancer Heterogeneity
- Track 5-3Epidemiology
- Track 5-4Statistical and Mechanistic Modelling of Signalling Networks
The main focus of a structural biologist is protein structure determination and drug design. Protein plays a crucial role in physical body . Living things wouldn't exist without proteins. The proteins are usually involved altogether sorts 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 during the body. Some proteins are involved in biochemical reactions within 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 within the field include viruses, pathogens, membrane proteins and signalling pathways. Novel progressions are being wiped out the arenas of nano-patterning and multi-scale modelling of cell signalling proteins.
- Track 6-1Macromolecular designing
- Track 6-2Membrane proteins
- Track 6-3Pathogens and viruses
- Track 6-4Nano patterning
Structural bioinformatics is an exceptionally cost-effective solution for protein structure determination. Purely computational prediction methods, like initially fragment assembly, advanced fold recognition, composite approaches, and molecular docking are regularly applied today to increase our understanding of protein structures. However, predicted structures aren't given an equivalent reliance as their experimental complements. Hybrid approaches are a way to beat these limitations; by incorporating limited experimental measurements, reliable structures are often computed, and unlikely predictions eliminated. Hybrid approaches cash in of knowledge derived from a good range of various biophysical and biochemical methods. These methods are of growing interest in current researches of structural biology.
- Track 7-1Genome Mapping
- Track 7-2Translational Medicine
- Track 7-3Protein Modelling
- Track 7-4Epigenomic data analysis
- Track 7-5Computational Neuroscience
- Track 7-6Mathematical Techniques
This is a price effective approach for determining the protein structure. The computational prediction methods, like initiating fragment assembly, advanced fold recognition, composite approaches, and molecular docking are regularly applied in recent times to expand our understanding of protein structures. Hybrid approach may be a channel to beat these disadvantages, by incorporating limited experimental measurements, reliable structures are often computed, and unlikely predictions are eliminated. the present researches are showing great interest during this method of approach.
- Track 8-1NMR structures
- Track 8-2Hybrid of experimental methods
- Track 8-3Hybrid of computational methods
- Track 8-4Hybrid approaches in complementing high-resolution structural biology
- Track 8-5Determining protein complex structures
- Track 8-6Bottom-up integration of atomic detail crystallography
Sequence analysis are often explained as a process of exposing DNA, RNA or peptide sequence to a good range of analytical methods so as to know its structure, function and evolution. The methods include sequence alignment and biological databases. Synergistic use of three-dimensional structures and deep sequencing is completed to understand the effect of personalized medicine. The usage of sequence analysis in structural biology will pave the thanks to new methods which may be utilized to work out the structure of molecules.
- Track 9-1Profile comparison
- Track 9-2Sequence assembly
- Track 9-3Gene prediction
- Track 9-4Deep sequencing for protein structure determination
- Track 9-5Complementary Methods
- Track 9-6Deep sequencing for cancer studies
- Track 9-7Deep sequencing of HIV
- Track 9-8Deep sequencing for cancer studies
- Track 9-9Deep sequencing for cancer studies
- Track 9-10Deep sequencing for cancer studies
- Track 9-11Deep sequencing for cancer studies
Structural Biology is that the branch of biology which embarks the importance of biophysics and biochemistry within the molecular structure of biological macromolecules. It also provides information about the effect of structural alterations of macromolecules on their function. This process of determination of structures of proteins, nucleic acids may take years because the shape, size and assemblies of those molecules could also be altering the function.
- Track 10-1Structural modifications in nucleic acids
- Track 10-2Biological system
- Track 10-3Biochemistry
- Track 10-4Alternations in Protein Structure
- Track 10-5 Gene Expression
- Track 10-6DNA and membrane complexes
- Track 10-7Computer-aided drug design
- Track 10-8Steady state kinetics
- Track 10-9Tumorigenesis
Signalling is that the process through which the cells communicate with one another. they're often secreted from the cell and released into the extracellular space. Regulation of organic phenomenon comprises a comprehensive range of mechanisms that are employed by cells to manage the assembly of specific gene products, and is familiarly termed as gene regulation. Sophisticated programs of organic phenomenon are extensively observed in biology, for instance to trigger developmental pathways, adapt to new food sources, or answer environmental stimuli.
- Track 11-1G-protein-coupled receptor
- Track 11-2Adrenergic receptor
- Track 11-3Protein crystallography
- Track 11-4Protein structure
A biomarker is an attribute which will be studied as an indicator of pathogenic and biological operation along side pharmacological retort to a therapeutic involvement. They indicate either normal or diseased activity within the body. Biomarkers are specific molecules, genes, gene products, hormones, cells or enzymes.
Drug designing is an ingenious process to seek out new medication centred on the knowledge of biological target. Drug is most ordinarily a little molecule that inhibits or activates the function of a biomolecule, which successively outcomes during a therapeutic benefit to the patient. Drug design commonly but not essentially relies on computational techniques. this sort of modelling is usually mentioned to as computer-aided drug design.
- Track 12-1Drug targets
- Track 12-2Ligand-based design
- Track 12-3Structure-based design
- Track 12-4Scoring functions
Molecular modelling involves the hypothetical and computational procedures which are
Molecular dynamics (MD) deals with the study of physical movements of the atoms and molecules using
- Track 13-1Potentials in ab-initio methods
- Track 13-2Hybrid QM/MM
- Track 13-3Protein folding
- Track 13-4Enzyme catalysis
- Track 13-5Protein stability
- Track 13-6Molecular recognition of proteins
Computational approaches are a boon for structural biology. These methods use the concepts of bioinformatics to work out the structure of macromolecules. generally , the structure of molecules is decided by experimental methods is both time intense and price effective. to beat these constraints, computational approaches like ab-initio modelling, homology modelling and threading method are used
- Track 14-1 Homology modelling
- Track 14-2Ab-initio method
- Track 14-3Threading
- Track 14-4Discoveries through computational approaches
Biomolecules are very small
- Track 15-1X-ray crystallography
- Track 15-2Nuclear Magnetic Resonances
- Track 15-3Cryo-Electron Microscopy
- Track 15-4Mass spectroscopy
- Track 15-5Dual polarization interferometry
- Track 15-6Multi-angle light scattering Technique
- Track 15-7Ultra-fast laser spectroscopy
Molecular Biology
- Track 16-1Genetics
- Track 16-2 Cell Biology
- Track 16-3 Developmental Biology
- Track 16-4 Gene Expression
Biochemistry
Biophysics
- Track 17-1 Systems Biology
- Track 17-2 Metabolomics
- Track 17-3 Biomolecules
- Track 17-4 Biophysical approaches to cell biology
- Track 17-5 Membrane Biophysics
- Track 17-6 Computational and theoretical Biophysics
Proteomics
- Track 18-1Chemical & single cell proteomics
- Track 18-2Molecular and cellular proteomics
- Track 18-3Expression proteomics
- Track 18-4Quantitative proteomics
- Track 18-5Post-translational modifications & signal transduction
- Track 18-6Cancer Genomics
- Track 18-7Clinical Genomics
- Track 18-8Comparative Genomics
- Track 18-9Functional Genomics