Kriti Chopra
Research Staff 3 Computational, High Performance, Computational Science Initiative

Brookhaven National Laboratory
Computational Science Initiative
P.O. Box 5000
Upton, NY 11973-5000
Kriti is an Assistant Computational Scientist at Brookhaven National Laboratory (BNL), where she applies her computational biology and bioinformatics skills to study the structure, function, and evolution of proteins and their interactions. She has a PhD in Biotechnology from the National Centre for Cell Science, where she developed a novel hybrid pipeline for predicting the protein-protein interaction interfaces in eukaryotic complexes using co-evolution, machine learning, and network analysis.
Her research interest lies in exploring the applications of AI in personalized medicine and translational research, and to contribute to the advancement of computational biology and bioinformatics. She is passionate about solving complex biological problems using computational methods and data-driven approaches.
Education | Appointments | Publications
Education
Ph.D (Biotechnology) , 2014- 2020 : National Centre for Cell Science, Pune, India
M.Tech (Bioinformatics), 2011- 2013 : University of Hyderabad, Hyderabad, India
B.Tech (Biotechnology), 2007- 2011: Gautum Buddh Technical University, Uttar Pradesh, India
Professional Appointments
April, 2024- Present: Assistant Computational Scientist
March, 2022- March, 2024: Research Associate, CSI
Selected Publications
- Rolband LA*, Chopra K*, Danai L, et al (2024) Small-Angle X-ray Scattering (SAXS) Combined with SAXS-Driven Molecular Dynamics for Structural Analysis of Multistranded RNA Assemblies. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.4c12397[* equal contribution]
- Grosjean N, Yee EF, Kumaran D, et al (2024) A hemoprotein with a zinc-mirror heme site ties heme availability to carbon metabolism in cyanobacteria. Nature Communications 15:. https://doi.org/10.1038/s41467-024-47486-z
- Byrnes J, Chopra K, Rolband LA, et al (2023) Structural Characterization of Nucleic Acid Nanoparticles Using SAXS and SAXS-Driven MD. Methods in Molecular Biology 65–94. https://doi.org/10.1007/978-1-0716-3417-2_4
- Chopra K, Burdak B, Sharma K, et al (2020) CoRNeA: A Pipeline to Decrypt the Inter-Protein Interfaces from Amino Acid Sequence Information. Biomolecules 10:938. https://doi.org/10.3390/biom10060938
- Chopra K, Bawaria S, Chauhan R (2018) Evolutionary divergence of the nuclear pore complex from fungi to metazoans. Protein Science 28:571–586. https://doi.org/10.1002/pro.3558

Brookhaven National Laboratory
Computational Science Initiative
P.O. Box 5000
Upton, NY 11973-5000