BioDiscovery Group Lifesciences is offering internship of 30, 45 & 60 Days in following topics. These internships are offered ONLINE and ONSITE (at our Bengaluru Office, Karnataka, India) throughout the year. The category/area of internships are:
- Chemoinformatics Approaches for Drug Discovery Technology and Molecular Simulations.
- Immunoinformatics Approaches for Vaccine Design.
- Computer Aided Herbal Drug Discovery for Edible Vaccines.
- Next Generation Sequencing.
- Molecular Biology and Genetic Engineering.
- Homology Modelling.
The subtopics under
each category are as follows:
Chemoinformatics Approaches for Drug Discovery Technology and Molecular Simulations
- In-silico generation of ligands by ChemSketch
- Pharmacophore Detection.
- Modification of Ligand.
- Conversion of Mol files to Pdb files by Open Babel
- Homology Modelling
- Protein optimization & Energy Minimization by SPDBV
- Molecular Docking by MGL Tools | Creation of Grid Parameter & Dock Parameter files by AutoDock Software
- Running the Docking Algorithm by Cygwin
- Selection of potent inhibitors on the basis of binding energies(delta G) and Lipinski's Rule of 5
- Creating docking complex
- Structure Analysis- Protein & ligand complex H-bond interaction by UCSF Chimera
- Drug Optimisation
- Making a protein structure file.
- Solvating the protein in a water box- parameter generation for the protein or the small molecule
- Adding ions to the solvated protein.
- NAMD configuration file.
- Minimization and equilibration.
- Simulations parameters and running the simulations.
- Analysis of the simulations.
Immunoinformatics Approaches for Vaccine Design
- Introduction to Immunoinformatics
- Role of Immunoinformatics in advance medicine field.
- Practical overview
- Immunome browser
- Antigenic protein retrieval
- Functional analysis
- Introduction to computational vaccine design.
- Types of vaccine design and application.
- Practical overview.
- Case study
- Retrieval of sequence
- Antigenicity prediction
- Allergy prediction
- Functional analysis
- Protein structure analysis
- Antigen active site
- Population coverage
- Visualization of antibody
Computer Aided Herbal Drug Discovery for Edible Vaccines
- Introduction to CADD
- Applications of CADD
- Bibliographic Search
- Plant Databases
- Plant Genomics
- Plant Proteomics
- Pharmacophore Identification
- Modification of Lead Molecule
- Protein Structure Retrieval
- Molecular Modelling
- Molecular Docking
- Comparison of Results- Rule Of 5 & QSAR
Next Generation Sequencing
- Basic Terminologies
- Introduction to file types in NGS
- Database and file formats in NGS
- NCBI Genomics Library
- NCBI Resources Used In Next Generation Sequencing
- Blasting into SRA
- Preprocessing of raw reads: quality control (FastQC), adapter clipping, quality trimming
- Mapping output (SAM/BAM format)
- Retrieving sequence from SRA (NCBI toolkit)
- Raw sequence files (FASTQ format)
- Finding NGS data from PUBMED SRA link
- DNA and RNA-seq NGS read alignment
- Visualization of mapped reads
- Germline variant calling
- Somatic variant calling and de novo mutation
- Variant Filtering and annotation
- Variant association and prioritization
- Big Data Analysis and visualization
Molecular Biology and Genetic Engineering
- Introduction to molecular biology and genetic engineering.
- Application of molecular biology and genetic engineering in bioinformatics.
- Promotor analysis in genome.
- Structural annotation.
- Functional annotation
- Active site prediction
- Single nucleotide polymorphism.
- Homology modeling.
- Model validation.
- Visualization of model
The term "homology modelling", also known as comparative modelling or template-based modelling. It refers to modelling a protein 3D structure using a known experimental structure of a homologous protein (the template). Structural information is always of great assistance in the study of protein function, dynamics, interactions with ligands and other proteins. The "low-resolution" structure provided by homology modelling contains sufficient information about the spatial arrangement of important residues in the protein and may guide the design of new experiments, for example site-directed mutagenesis. Even within the pharmaceutical industry homology modelling can be valuable in structure-based drug discovery and drug design.
- Basic Modelling
- Advanced Modelling
- Iterative Modelling
- Difficult Modelling