Probing Life in Motion: Advanced EPR Spectroscopy at the Interface of Biology, Chemistry, and Computation

By
Dr. Manas Seal
Published on
December 15, 2025
Department of Education, Kharagpur, Paschim Midnapur, West Bengal, India, PIN - 721302, India.
Areas of Expertise
Biophysics, EPR Spectroscopy, Bioinorganic Chemistry

My research is driven by the unique versatility of advanced Electron Paramagnetic Resonance (EPR) spectroscopy, which naturally bridges chemistry, physics, and biology. Despite major advances in AI-based structure prediction tools such as AlphaFold, understanding the structure and dynamics of disordered proteins remains highly challenging, and EPR is uniquely suited to probe such systems. Metalloproteins, which often contain EPR-active paramagnetic centers, play central roles in catalysis and electron transfer, making the characterization of their electronic structures in resting states and reactive intermediates essential. Over time, my vision has expanded beyond purified systems toward more complex biological environments, including native and in vivo contexts. Advances in EPR methodology and instrumentation have also broadened its applicability to other frontiers such as materials chemistry and nanobiotechnology.

For disordered proteins, a central unanswered question is how transient local interactions and conformational dynamics translate into long-range functional regulation within the crowded cellular environment. In metalloproteins, the challenge lies in trapping and accurately characterizing highly diverse reactive intermediates, whose electronic structures are sensitive to subtle changes in coordination environments. My group addresses these challenges using advanced EPR methodologies integrated with computational tools and complementary spectroscopic techniques such as NMR, FRET, and rapid freeze-quench methods to capture functionally relevant intermediates.

Biomolecular spectroscopy is evolving toward hybrid, integrative approaches that combine EPR with Cryo-EM, NMR, mass spectrometry, and AI-driven modeling. Long-range distance constraints from EPR/DEER (1.5–10 nm), particularly for flexible disordered regions, will be critical for validating structural reconstructions from Cryo-EM. New experimental protocols are also expected to bridge the gap between solution-based and in-cell spectroscopy. I am particularly excited to integrate Cryo-EM and AI-based computational modeling with EPR to study structure and function in their full biological context.

Major breakthroughs often emerge from interdisciplinary research. Collaborations with computational scientists specializing in AI, machine learning, and molecular dynamics can enable accurate prediction of functional conformational ensembles. Partnerships with materials scientists and nanotechnologists can further extend our work toward designing robust, enzyme-mimicking catalysts with industrial relevance.

Addressing such complex problems requires a strong interdisciplinary foundation that integrates spectroscopy, biochemistry, and computational tools. EPR should not be treated as an endpoint, but interpreted alongside complementary spectroscopic methods, Cryo-EM, and computational analysis to achieve a comprehensive molecular understanding. For young scientists entering this field, I encourage a problem-driven approach focused on real-world challenges, including uncovering molecular mechanisms of disease and designing efficient catalysts to address environmental problems.

Science Factors.

The Science of Mindfulness and Stress Relief

0
Stress has become so common that it is rarely questioned. Students call it academic pressure. Professionals call it workload. Families call it responsibility. It...

Microplastics in Our Wetlands: A Growing Environmental Concern

0
Wetlands are regarded as the most valuable ecosystems providing several important ecosystem services including creating a natural habitat for diverse species of plants and...

AI-Driven Smart Forming: Transforming the Future of Lightweight Manufacturing

0
How is modern manufacturing evolving from force-driven systems to intelligent systems? When we think about manufacturing, we often imagine massive machines, powerful presses, and the...

Can Artificial Intelligence Save Our Crops? Lessons from Smart Pest Detection

0
How can AI and thermal cameras help farmers detect hidden pest infestations before serious crop damage occurs? AI and thermal cameras can help farmers detect...

Shaping Climate-Resilient Crops Through Molecular Innovation

0
Your research journey spans India, Israel, and Italy. How have these experiences shaped your scientific philosophy? My academic journey began in India at Banaras Hindu...