Instructor: Dr. Jitesh
Validity Period: Lifetime
The field of Life Sciences/Pharma is continuously evolving with new tools and techniques coming into the picture. In recent years Bioinformatics/Drug discovery has seen exponential growth and has become an essential part of every Biological project. Therefore, having an understanding of various Bioinformatics tools, techniques and methods has also become pretty important to every person working in the Life Sciences/Pharma domain. With this view in mind, we have developed an industry driven Bioinformatics project program in partnership with GeneSpectrum Life Sciences.
Duration Of The Project
The duration of the program is 3 months. Depending upon the candidate's interest the project duration can be customized.
Choose any one synopsis for your project basesd on Bioinformatics/Durg design & discovery/Molecular docking.
Kindly choose any 1 topic from the list given below.
1) Development, Integration and Application of Computational Tools for the Prospection of Targets and Compounds with Therapeutic Potential
2)Molecular docking in modern drug discovery: principle and Application
3)Molecular Docking and Structure-Based Drug Design Strategies
4)In silico drug discovery on computational Grids for finding novel drugs against neglected diseases
5. Computational study of phytocompounds against various diseases
6. Molecular Docking and Simulation of ayurvedic plant constituents for anti-cancer / anti-inflammatory activity
7. QSAR modelling of anti-bacterial activity of plant extracts
8. Design of novel analogs of medicinal compounds for treatment of common diseases with higher specificity
9- Virtual screening & Drug discovery in covid-19
10- Structural Bioinformatics
11- Data generation through BLAST tool in Bioinformatics
12- Genetic engineering using crispr technology
13- Identification of novel compound from plants and its effect against deadly disease
The eligibility for the training cum project program is graduation in any life science discipline with B.Sc, M.Sc., B.Tech, B.Pharm, M.Tech, M.Phil, M. Pharm etc. Highly interested participants in pursuing a degree can also apply.
Mode of the course
The program will be online. The candidates enrolling for the course will be guided by the instructors from learntoupgrade. There will be a 2 hours class evryday via online personal training/meeting over Zoom or similar platforms where instructors will provide the guidance and further project work for the whole week which candidates need to submit on weekend. Candidates can post their questions on the course forum to get answers from the instructors between 10 AM to 6 PM.
Certificates: All Candidates will get the project certificate certified by Learntoupgrade & GeneSpectrum approved by NSDC, recognised by DBT India ministry of science & technology
A project report up to 50 Pages will also be provided.
1) All sessions will be Live interacted with the industry expert
2) All live classes recording access for lifetime
3) Study material
4) Internship Report
5) You get a DBT recognized certificates
6) Learn thesis writing
7) Flexible timings
8) Weekly one free webinar along with the certificate
10) Demonstration through the lab videos.
11) A free webinar of "How to write a research paper and publish it"
12) Data generation
13) Project report preparation
14) Offer letter & recommendation letter
Recording access of all classes will be provided with the lifetime access.
|project report (41 pages)||Preview|
|Topic1: In-Silico Drug Target Identification|
|Title 2: Computational drug designing approach to design specific inhibitors for COVID-19 targets|
|Title 3: Novel inhibitor design for the treatment of tropical diseases using computational approach|
|Title 4: ANALYSIS OF TARGET MOLECULE FOR DISEASE & IDENTIFYING DRUG CANDIDATE BY USING IN SILICO TOOLS|
|Title 5: Molecular Docking and Simulation of ayurvedic plant constituents for anti-cancer / anti-inflammatory activity|
|Title 6: QSAR modelling of anti-bacterial activity of plant extracts|
|Title7 : Design of novel analogs of medicinal compounds for treatment of common diseases with higher specificity|
|Title 8: In silico drug discovery on computational Grids for finding novel drugs against neglected diseases|
After successful purchase, this item would be added to your courses.
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