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Dr. Sabeeha Hasnain is an Assistant Professor in the Center for Life Sciences at Mahindra University, with a Ph.D. in Computational and Systems Biology from Jawaharlal Nehru University, where she developed analytical and coarse‑grained models to study protein diffusion in crowded cellular environments such as E. coli cytoplasm. She later worked as a postdoctoral fellow at The University of Texas at Austin on kinesin stepping dynamics, as a National Postdoctoral Fellow at Ashoka University, and as a scientist at Metflux Research, and her current research uses coarse‑grained/analytical models and neural networks to understand transcription factor–DNA search mechanisms and to predict drug–target affinity, backed by multiple journal papers and awards including international travel grants and UGC Maulana Azad and DBT fellowships.
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Sabeeha Hasnain
Assistant Professor
Sabeeha Hasnain is an Assistant Professor in the Center for Life Sciences at Mahindra University. She completed her Ph.D. in Computational and Systems Biology from Jawaharlal Nehru University in New Delhi, India. During her Ph.D., she worked on developing analytical and coarse-grained models to understand the diffusive motion of proteins inside an E. coli cell and in dilution.
After completing her Ph.D., she moved to The University of Texas at Austin for her postdoctoral research. During her postdoctoral research, she focused on understanding the stepping dynamics of kinesin in line with the experimental details, aiming to determine whether the experimental setup used in determining the stepping dynamics actually modified the properties of the motion.
Later, upon returning to India in 2020, she secured funding from SERB to conduct research as a National Postdoctoral Fellow at Ashoka University. She also gained industry experience working as a Scientist at Metflux Research, a healthcare industry company.
- Ph.D. (Computational and Systems Biology) School of Computational and Systems Biology, Jawaharlal Nehru University, New Delhi, India.
- M.Tech. (Computational and Systems Biology) School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
- M.Sc (Mathematics) Banaras Hindu University, Varanasi.
- B.Sc (Mathematics, Physics, Chemistry) Ewing Christian College, Allahabad University.
Hasnain, Sabeeha, Mauro L. Mugnai, and Dave Thirumalai. “Effects of gold nanoparticles on the stepping trajectories of kinesin.” The Journal of Physical Chemistry B 125.37 (2021): 10432-10444.
Hasnain, Sabeeha, Upendra Harbola, and Pradipta Bandyopadhyay. “A memory-based random walk model to understand diffusion in crowded heterogeneous environment.” International Journal of Modern Physics B 32.16 (2018): 1850193.
Hasnain, Sabeeha, and Pradipta Bandyopadhyay. “An analytical correlated random walk model and its application to understand subdiffusion in crowded environment.” The Journal of Chemical Physics 143.11 (2015): 114104.Hasnain, Sabeeha, et al. “A new coarse-grained model for E. coli cytoplasm: accurate calculation of the diffusion coefficient of proteins and observation of anomalous diffusion.” PLoS One 9.9 (2014): e106466.Hasnain, Sabeeha, Matthew P. Jacobson, and Pradipta Bandyopadhyay. “A comparative Brownian dynamics investigation between small linear and circular DNA: Scaling of diffusion coefficient with size and topology of DNA.” Chemical Physics Letters 591 (2014): 253-258.
Book Chapter
Pandey, Preeti, Sabeeha Hasnain, and Shandar Ahmad. “Protein-DNA interactions.” (2019): 142-154.
Conference Abstract
Hasnain, Sabeeha, et al. “A Computational Model for E. coli Cytoplasm: Diffusion and Hydrodynamics.” Biophysical Journal 108.2 (2015): 116a-117a.
- 2023 – Present Assistant Professor Center for Life Sciences Mahindra University.
- Scientist, Metflux Research Pvt. Ltd: (2022-2023 )
- National Postdoctoral fellow, Ashoka University.
Supervisor: Prof. Gautam Menon: (2021-2022 ) - 2017-2020 Postdoctoral Fellow, Department of Chemistry, The University of Texas at Austin, Austin, TX, USA. Supervisor: Prof. Devarajan (Dave) Thirumalai: (2017-2020)
- Our research centers on comprehending complex biological phenomena through the development and utilization of coarse-grained and analytical models. By employing an interdisciplinary approach, we aim to address biological challenges effectively.
- Furthermore, we have a specific interest in utilizing neural networks to gain insights into the search mechanism involved in the binding of transcription factors to DNA. Additionally, we are actively investigating the potential of these techniques to accurately predict drug-target affinity.
- Awards:
- International Travel award from Biophysical Society of USA to attend 59th Annual Biophysical Society meeting held at Baltimore, Maryland, USA (2015).
- UGC Maulana Azad fellowship JRF (2011-2013) and SRF (2013-2016) during Ph. D.
- International travel award from SERB India.
- DBT fellowship during M. Tech.
- Gate qualified (2009) in Mathematics.
