Publications

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*Denotes cofirst authorship

2024

Gorelik M.G., Yakhnin H., Pannuri A., Walker A.C., Pourciau C., Czyz D., Babitzke P., Romeo T. (2024) Multitier regulation of the E. coli extreme acid stress response by CsrA, Journal of Bacteriology doi: https://doi.org/10.1128/jb.00354-23

Nominated as Editor’s pick

Featured on This Week in Microbiology

Gorelik M.G., Gorelik A.J., Fishbein S.R.S, Fehlmann T., Deepak P., Bogdan R., Dantas G., Jain U., SPARC IBD Investigators. (2024) Improving Differentiation of Crohn’s Disease and Ulcerative Colitis Proteomes through Protein-Wide Association Study Feature Selection in Machine Learning. medRxiv doi: https://doi.org/10.1101/2024.11.13.24316854

*Rebeck O.N., *Wallace M.J., *Prusa J., Ning J., Evbuomwan E.M., Rengarajan S., Habmina-Griffin L., Kwak S., Zarah D., Tung J., Liao J., Mahmud B., Fishbein S.R.S, Tovar E.S.R., Mehta R., Wang B., Gorelik M.G., Helmink B.A., Dantas G. (2024) A yeast-based oral therapeutic delivers immune checkpoint inhibitors to reduce intestinal tumor burden. Cell Chemical Biology https://doi:10.1016/j.chembiol.2024.10.013

2023

*Gorelik A.J., *Gorelik M.G., Ridout K.K., Nimarko A., Peisch V., Kuramkote S.R., Low M., Pan T., Singh S., Nrusimha A., Singh M. (2023) Evaluating efficiency and accuracy of deep-learning-based approaches on study selection for psychiatry systematic reviews. Nature Mental Health doi: https://doi.org/10.1038/s44220-023-00109-w

Selected for presentation at the Artificial Intelligence for Mental Health Seminar Series at Oxford

Pourciau C., Yakhnin H., Pannuri A., Gorelik M.G., Romeo T., Babitzke P. (2023) CsrA Coordinates the Expression of Ribosome Hibernation and Anti-s Factor Proteins, mBio doi: https://doi.org/10.1128/mbio.02585-23

2022

de Crécy-lagard V., Amorin de Hegedus R., Arighi C., Babor J., Bateman A., Blaby I., Blaby-Haas C., Bridge A.J., Burley S.K., Cleveland S., Colwell L.J., Conesa A., Dallago C., Danchin A., de Waard A., Deutschbauer A., Dias R., Ding Y., Fang G., Friedberg I., Gerlt J., Goldford J., Gorelik M.G., Gyori B.M., Henry C., Hutinet G., Jaroch M., Karp P.D., Kondratova L., Lu Z., Marchler-Bauer A., Martin M., McWhite C., Moghe G.D., Monaghan P., Morgat A., Mungall C.J., Natale D.A., Nelson W.C., O’Donoghue S., Orengo C., O’Toole K.H., Radivojac P., Reed C., Roberts R.J., Rodionov D., Rodionova I.A., Rudolf J.D., Saleh L., Sheynkman G., Thibaud-Nissen F., Thomas P.D., Uetz P., Vallenet D., Carter E.W., Weigele P.R., Wood V., Wood-Charlson E.M., Xu J. (2022) A roadmap for the functional annotation of protein families: a community perspective, Database, doi: https://doi.org/10.1093/database/baac062

2021

Nimarko A.F., Gorelik A.J., Carta K.E., Gorelik M.G., Singh M.K. (2021) Neural Correlates of Reward Processing Distinguish Healthy Youth at Familial Risk for Bipolar Disorder from Youth at Familial Risk for Major Depressive Disorder, Translational Psychiatry doi: https://doi.org/10.1038/s41398-022-01800-9

2020

Pourciau C., Lai Y., Gorelik M.G., Babitzke P., Romeo T. “Diverse Mechanisms and Circuitry for Global Regulation by the RNA-Binding Protein CsrA.” Frontiers in Microbiology 11 (2020). https://doi.org/10.3389/fmicb.2020.601352

*Gorelik Aaron J., *Gorelik M. G., Kathryn K. Ridout, Akua F. Nimarko, Virginia Peisch, Shamanth R. Kuramkote, Michelle Low, et al. “Applying Machine Learning to Increase Efficiency and Accuracy of Meta-Analytic Review.” Bioarxiv, 2020. https://doi.org/10.1101/2020.10.06.314245