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Diwakar Shukla

Associate Professor

Additional Campus Affiliations

Associate Professor, Chemical and Biomolecular Engineering
Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Associate Professor, Beckman Institute for Advanced Science and Technology
Associate Professor, National Center for Supercomputing Applications (NCSA)
Associate Professor, Bioengineering
Affiliate, Carl R. Woese Institute for Genomic Biology

Recent Publications

Chen, J., Dean, T. J., & Shukla, D. (2024). Contribution of Signaling Partner Association to Strigolactone Receptor Selectivity. Journal of Physical Chemistry B, 128(3), 698-705. https://doi.org/10.1021/acs.jpcb.3c06940

Lindley, S. E., Lu, Y., & Shukla, D. (2024). The Experimentalist’s Guide to Machine Learning for Small Molecule Design. ACS Applied Bio Materials, 7(2), 657-684. https://doi.org/10.1021/acsabm.3c00054

Nguyen, A. T. P., Weigle, A. T., & Shukla, D. (2024). Functional regulation of aquaporin dynamics by lipid bilayer composition. Nature communications, 15(1), Article 1848. https://doi.org/10.1038/s41467-024-46027-y

Torres-Rodriguez, M. D., Lee, S. G., Roy Choudhury, S., Paul, R., Selvam, B., Shukla, D., Jez, J. M., & Pandey, S. (2024). Structure-function analysis of plant G-protein regulatory mechanisms identifies key Gα-RGS protein interactions. Journal of Biological Chemistry, 300(5), Article 107252. https://doi.org/10.1016/j.jbc.2024.107252

Yin, S., Mi, X., & Shukla, D. (2024). Leveraging machine learning models for peptide–protein interaction prediction. RSC Chemical Biology, 5(5), 401-417. https://doi.org/10.1039/D3CB00208J

View all publications on Illinois Experts