The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.
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.
- Track 1-1Mass spectrometry
- Track 1-2Macromolecular crystallography Proteolysis
- Track 1-3Nuclear magnetic resonance spectroscopy of proteins (NMR)
- Track 1-4Electron paramagnetic resonance (EPR)
- Track 1-5Cryo-electron microscopy (cryo-EM)
- Track 1-6Multiangle light scattering
- Track 1-7Small angle scattering
- Track 1-8Ultrafast laser spectroscopy
- Track 1-9Dual-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.
- Track 2-1Geometry optimizations
- Track 2-2Electronic structure determinations
- Track 2-3Frequency calculations
- Track 2-4Transition structures
- Track 2-5Protein calculations
- Track 2-6Electron and charge distributions
- Track 2-7Potential energy surfaces
- Track 2-8Rate constants for chemical reactions
- Track 2-9Thermodynamic 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.
- Track 3-1Molecular mechanics
- Track 3-2Electronic structure theory
- Track 3-3De novo methods
- Track 3-4Ab initio modeling
- Track 3-5Sequence-based modeling
- Track 3-6Threading
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.
- Track 4-1Drug design
- Track 4-2Materials Science
- Track 4-3Protein folding
- Track 4-4Enzyme catalysis
- Track 4-5Protein stability
- Track 4-6Conformational changes associated with biomolecular function
- Track 4-7Molecular 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.
- Track 5-1Computational and Theoretical Approaches
- Track 5-2Microscopy
- Track 5-3Molecular Characterization
- Track 5-4Spectroscopy
- Track 5-5Surface Science
- Track 5-6Synthetic Biology
- Track 5-7Nanotechnology
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.
- Track 6-1Molecular graphics
- Track 6-2Interactive molecular drawing and conformational editing
- Track 6-3Building polymeric molecules, crystals, and solvated systems
- Track 6-4Geometry optimization
- Track 6-5Molecular 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.
- Track 7-1Homology modeling
- Track 7-2Secondary structure prediction
- Track 7-3Transmembrane 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.
- Track 8-1Protein Data Banks & Structural Classification
- Track 8-2Molecular Modelling
- Track 8-3Protein 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.
- Track 9-1Ligand-based drug design
- Track 9-2Structure-based drug design
- Track 9-3Biomarkers
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.
- Track 10-1Sequence databases
- Track 10-2Structures databases
- Track 10-3Functional databases
- Track 10-4Species-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.
- Track 11-1Chemical probes
- Track 11-2Single molecule techniques
- Track 11-3Structure-based drug discovery and design
- Track 11-4Structure 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.
- Track 12-1Cellular Biophysics
- Track 12-2Molecular 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.
- Track 13-1Sequencing
- Track 13-2Assembly
- Track 13-3Annotation
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.
- Track 14-1Monoclonal antibodies
- Track 14-2Cancer Vaccines
- Track 14-3Non-Specific Immunotherapies
- Track 14-4Antibiotic resistance
- Track 14-5Oncogenic drug targets
- Track 14-6Molecular chaperones as cancer drug targets
- Track 14-7Cancer diagnostics market
- Track 14-8Drug discovery