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Bio Informatics

Molecular Phylogeny

Molecular phylogeny uses the structure and function of molecules and how they change over time to infer these evolutionary relationships.

Biostatistics

Using the tools of statistics, biostatisticians help answer pressing research questions in medicine, biology and public health

QSAR/Docking

QSAR attempts to establish a correlation between various molecular properties of a set of molecules with their experimentally known biological activity.

Chemo informatics:

The application of computer-aided methods to chemical problems, such as structural databases, spectra interpretation, predicting chemical properties and molecular shapes.

About Bioinformatics

In the present scenario, the demand for accurate, faster and qualitative research increased, this led to the advent of bioinformatics. Bioinformatics as a tool where errors made can be corrected to open newer approaches in R&D fields. With the advent of Bioinformatics, we can develop and carry out research in various areas like drug designing, nanotechnology, biology, agro chemicals, environmental biotechnology, etc. The recent rise in organism specific genome projects coming up from scientist desks, bioinformatics becomes the foundation to start these projects. On a global perspective in order to receive faster results bioinformatics is a necessary tool to embark on a career in life sciences division is bioinformatics.

TOPICS COVERED

1. Basic Bioinformatics
2. Advanced Bioinformatics
3. Professional Bioinformatics

Module I
• History of Bioinformatics
• Origin of bioinformatics introduction to PDB
• Scope of Bioinformatics
• Origin of Tools: Sequence data bases and File Formats

Module II
• Application of Bioinformatics: Gene Prediction & Functional Analysis
• Sequence Comparison: EXPASy, EMBOSS
• Structure File Formats: Repeat detection
• General Introduction to Molecular Biology
• Introduction to Visualization Software tools: RasMol, SPDBV, JMol and VMD
• Bioinformatics Dogma: Thermal analysis
• Minor Project Concerning the concepts learnt

Module III
• Molecular Phylogeny Prediction: Molecular evolutionary genetic Analysis
• EST and Gene Discovery
• Genome Analysis
• Comparative modeling: Homology Modeling
• Fold recognition: Threading
• Model Evaluation: Structure Refinement
• Structure Validation: RMSD plot

Module IV
• Introduction to Molecular Dynamics
• Basics of molecular modelling using CHARM
• Primer Designing: Three Primer designing tools along with concepts of behind tools
• Concepts of Biostatistics, biophysics and biochemistry to help in dealing with databases/tools
• Minor and major project work in desired topic

Module V
• Reconstruction of Metabolic Pathway
• Pathway Databases: KEGG and other
• Molecular simulations: GROMACS, NAMD
• \Monte Carlo Simulation
• Docking of Small Molecules and binding site analysis: Autodock, Hyper Chem

Module VI
• Introduction to QSAR/QSPR studies
• Geometry Optimization: Descriptor Database
• Force Fields and descriptors: Primer Designing
• Basics of Bio PERL and Python
• Antibody engineering: Designing and modeling antibodies
• HTML concepts: HTML
• Concepts on designing a bioinformatics database
• Major project work.

Module VII
• Introduction to computational chemistry
• Applications in computational chemistry
• Brief outline of molecular mechanics
• Molecular Orbital Theory
• Semi-empirical approximations
• Introduction to ab initio methods
• Basics of density functional theory
• basis sets and Z-matrix
• Focus on Gaussian; Research in Computational Chemistry
• Prediction of structural and electronic properties of molecules
• computation of potential energy surfaces and transition states
• Calculation of spectral properties
• Project work.

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