Advanced Spectroscopic Methods to Study Biomolecular Structure and Dynamics

Dr. Prakash Saudagar is an active researcher and a sterling classroom teacher, currently working as an Assistant Professor at the Department of Biochemistry, National Institute of Technology Warangal, India. He obtained his Ph.D. degree from the Indian Institute of Technology, Guwahati, India, in 2013. His research has immensely contributed to exploring potential drug target proteins and inhibitors. His research interests include molecular and biochemical parasitology, infectious disease, and protein biochemistry. He has a strong command over computational techniques and in-vitro techniques used to study proteins. He has published more than 40 research articles in reputed journals like the International Journal of Biological Molecules, FEBS, FEBS OpenBio, PLOS one, Scientific Reports, Biological Chemistry, Parasitology International, Molecular Simulation, etc., and book chapters in Elsevier and Springer to his name. He has been PI/Co-PI in research grants from SERB and DST. He has been awarded the B.S. Narasinga Rao award SBC, India (2011), Best presentation award, ICIDN, Nepal (2015), Young Faculty Award, VIF India (2016), and Young Scientist Award, Telangana Academy of Science (2018). He is an associate fellow of the Telangana Academy of Science (2018) and a life member of the Indian Science Congress and Society of Biological Chemists. He has guided several Ph.D. and M.Tech. students, postdoctoral fellows, project fellows, and trainees. He has many interdisciplinary collaborating partners in prestigious institutions in India and abroad. Professor Timir Tripathi is a Professor of Molecular Biology, School of Life Sciences, North-Eastern Hill University, Shillong, India. Earlier, he served as the Regional Director of Indira Gandhi National Open University. His previous role was Senior Assistant Professor and Principal Investigator at the Department of Biochemistry, NEHU, Shillong. He holds a Ph.D. from Jawaharlal Nehru University, New Delhi. His primary research focus is studying the conformational dynamics, interaction, and stabilization of the complexes formed by intrinsically disordered neuropathological protein aggregates, their properties of liquid-liquid phase separation, interaction, and roles in nucleocytoplasmic transport in neurodegenerative diseases. Professor Tripathi is an Associate Fellow of the Indian National Science Academy, New Delhi, and an elected member of the National Academy of Sciences, India, the Royal Society of Chemistry, and the Royal Society of Biology, UK

• 1. Fundamentals of spectroscopy for biomolecular structure and dynamics2. Fluorescence-based techniques to assess biomolecular structure and dynamics3. Structural analysis of biomacromolecules using circular dichroism spectroscopy4. Nuclear magnetic resonance spectroscopy for protein structure, folding, and dynamics5. Advanced NMR spectroscopy methods to study protein structure and dynamics6. Applications of infrared spectroscopy to study proteins7. Raman spectroscopy to study biomolecules, their structures, and dynamics8. Spectroscopic investigation of biomolecular dynamics using light scattering methods9. Protein footprinting by mass spectrometry: H/D exchange, specific amino acid labeling, and fast photochemical oxidation of proteins10. Small angle scattering techniques for biomolecular structure and dynamics11. Advances in X-ray crystallography methods to study structural dynamics of macromolecules12. Spectroscopic methods to study protein folding kinetics: methodology, data analysis, and interpretation13. Spectroscopic methods to study the thermodynamics of biomolecular interactions14. Spectroscopic methods to detect and analyze protein oligomerization, aggregation, and fibrillation15. Multimodal spectroscopic methods for the analysis of carbohydrates16. Integration of spectroscopic and computational data to analyze protein structure, function, folding, and dynamics17. Advance data handling tools for easy, fast, and accurate interpretation of spectroscopic data