Prashant Emani, PhD
Associate Research Scientist
Research & Publications
Biography
Coauthors
Selected Publications
- The single-cell opioid responses in the context of HIV (SCORCH) consortiumAment S, Campbell R, Lobo M, Receveur J, Agrawal K, Borjabad A, Byrareddy S, Chang L, Clarke D, Emani P, Gabuzda D, Gaulton K, Giglio M, Giorgi F, Gok B, Guda C, Hadas E, Herb B, Hu W, Huttner A, Ishmam M, Jacobs M, Kelschenbach J, Kim D, Lee C, Liu S, Liu X, Madras B, Mahurkar A, Mash D, Mukamel E, Niu M, O’Connor R, Pagan C, Pang A, Pillai P, Repunte-Canonigo V, Ruzicka W, Stanley J, Tickle T, Tsai S, Wang A, Wills L, Wilson A, Wright S, Xu S, Yang J, Zand M, Zhang L, Zhang J, Akbarian S, Buch S, Cheng C, Corley M, Fox H, Gerstein M, Gummuluru S, Heiman M, Ho Y, Kellis M, Kenny P, Kluger Y, Milner T, Moore D, Morgello S, Ndhlovu L, Rana T, Sanna P, Satterlee J, Sestan N, Spector S, Spudich S, Tilgner H, Volsky D, White O, Williams D, Zeng H. The single-cell opioid responses in the context of HIV (SCORCH) consortium. Molecular Psychiatry 2024, 1-12. PMID: 38879719, DOI: 10.1038/s41380-024-02620-7.
- Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databasesEmani P, Geradi M, Gürsoy G, Grasty M, Miranker A, Gerstein M. Assessing and mitigating privacy risks of sparse, noisy genotypes by local alignment to haplotype databases. Genome Research 2023, 33: 2156-2173. PMID: 38097386, PMCID: PMC10760520, DOI: 10.1101/gr.278322.123.
- Binding peptide generation for MHC Class I proteins with deep reinforcement learningChen Z, Zhang B, Guo H, Emani P, Clancy T, Jiang C, Gerstein M, Ning X, Cheng C, Min M. Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinformatics 2023, 39: btad055. PMID: 36692135, PMCID: PMC9907221, DOI: 10.1093/bioinformatics/btad055.
- Insights from incorporating quantum computing into drug design workflowsLau B, Emani P, Chapman J, Yao L, Lam T, Merrill P, Warrell J, Gerstein M, Lam H. Insights from incorporating quantum computing into drug design workflows. Bioinformatics 2022, 39: btac789. PMID: 36477833, PMCID: PMC9825754, DOI: 10.1093/bioinformatics/btac789.
- Unifying Solution and Solid‐State NMR Studies of Nucleic Acid DynamicsPederson K, Echodu D, Emani P, Olsen G, Bardaro M, Shajani Z, Meints G, Miller P, Varani G, Drobny G. Unifying Solution and Solid‐State NMR Studies of Nucleic Acid Dynamics. 1996 DOI: 10.1002/9780470034590.emrstm1173.