General Lab Information

Kriti Chopra

Research Staff 3 Computational, High Performance, Computational Science Initiative

Kriti Chopra

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

  • 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
Kriti Chopra

Brookhaven National Laboratory

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

Kriti's Links