LMS Settings
Computational Design of Biosensors
An in-depth understanding of molecular modeling and drug design principles and techniques, which can be helpful in various fields, including pharmaceutical research and development, biotechnology, and academic research.
Exposure to cutting-edge computational tools and techniques that can predict the structures and functions of proteins and small molecules and evaluate their potential as drug candidates.
An opportunity to conduct original research that contributes to molecular modeling and drug design and develop the skills and knowledge needed to pursue a career in this field.
Computational design of biosensors refers to using computer simulations and modeling techniques to design and optimize the performance of biosensors. Biosensors are devices that use living cells or biomolecules to detect and measure specific environmental substances or conditions.
In the industrial setting, the computational design of biosensors can be used to optimize the sensitivity, selectivity, and stability of these devices, as well as to predict their performance under various operating conditions. This can help develop biosensors with improved accuracy and reliability, which are critical for applications such as environmental monitoring, food safety, and medical diagnosis.
In addition to its industrial applications, the computational design of biosensors also has significant benefits for researchers. By using computational techniques to design and optimize biosensors, researchers can better understand the underlying biological processes involved in their operation and identify new opportunities for improving their performance. This can help develop more effective biosensors for a wide range of applications.
| Module – 6 months | Modeling Biosensor/Chemosensor |
| Topics and Sofware | – Introduction to various crystal structure databases for materials
– Structure buildup using VESTA and XCrysden tools – Building model for analyte (for example, gas, drug, ligands) to be sensed – Probing the minimized structure of material-ligand complex – Conformational searching of ligand on Biosensor/Chemosensor material surface – Studying optimization methodologies for structure minimization – Studying physical/chemical properties (for example Adsorption energy) – Calculation of Density of States and other relevant properties -Analysis of results -Report writing
Tools Used: Quantum Espresso, Siesta Visualization Tools: VESTA, XCrysden tools Data Plotting: Gnuplot, Xmgrace |
Who can apply for Training?
B.Tech. in (Biotechnology/ Industrial Biotechnology/ Bioinformatics/Material Sciences/Computer Sciences)
M.Sc. in (Biotechnology/Microbiology/Chemistry/Biochemistry/Bioinformatics/Life sciences/Material Sciences)
M.Tech. in (Biotechnology/Bioinformatics/ Industrial Biotechnology/Computer Sciences)
B. Pharmacy/M.Pharmacy
Module - 1 (2 months)
Requirements
Who can apply for Training:
B.Tech. in (Biotechnology/ Industrial Biotechnology/ Bioinformatics/Material Sciences/Computer Sciences)
M.Sc. in (Biotechnology/Microbiology/Chemistry/Biochemistry/Bioinformatics/Life sciences/Material Sciences)
M.Tech. in (Biotechnology/Bioinformatics/ Industrial Biotechnology/Computer Sciences)
B.Pharmacy/M.Pharmacy
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