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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

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

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

Bansal, P. D., Dutta, S., & Shukla, D. (2023). Activation mechanism of the human Smoothened receptor. Biophysical journal, 122(7), 1400-1413. https://doi.org/10.1016/j.bpj.2023.03.007

Chan, M. C., Chan, K. K., Procko, E., & Shukla, D. (2023). Machine Learning Guided Design of High-Affinity ACE2 Decoys for SARS-CoV-2 Neutralization. Journal of Physical Chemistry B, 127(9), 1995-2001. https://doi.org/10.1021/acs.jpcb.3c00469

Chan, M. C., & Shukla, D. (2023). The Effects of N-Linked Glycosylation on SLC6 Transporters. Journal of Chemical Information and Modeling, 63(9), 2748-2758. https://doi.org/10.1021/acs.jcim.2c00940

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