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Small Interfering RNA
siRNA Design Online Training
Duration: 45 Days | Mode: Online (Live + LMS)
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Dr. Rini Chaturvedi
Microbiology | DST INSPIRE Faculty | AIIMS, New Delhi | 13+ years experience
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About Dr. Rini Chaturvedi
Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.
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Ph.D.
Structural Parasitology, ICGEB, New Delhi University
Molecular Medicine, Structural Parasitology, Drug Discovery
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Student Success Stories
Hear from our students who transformed their careers with NanoSchool
Very efficient
Kashung Shangamla
Biological Sequence Analysis using R Programming
Excellent delivery of course material. Although, we would have benefited from more time to practice with the plethora of presented resources.
Kevin Muwonge
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication
The workshop was well-presented by an expert in the field, clearly.
Nkululeko Damoyi
In Silico Molecular Modeling and Docking in Drug Development
Some topics could be organized in different order. That occurred at the end of training in the last day when the mentor needed to remind one by one where is the ligand where is the target. It can be helpful to label components (files) like that and label days of training respectively.
Anna Ogrodowczyk
In Silico Molecular Modeling and Docking in Drug Development
Contents were excellent
Surya Narain Lal
Rich content and good delivery, with limited time to deliver all the necessary material and information.
Kevin Muwonge
Protein Structure Prediction and Validation in Structural Biology