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Elife|July 8, 2020
A mechanistic model and therapeutic interventions for COVID-19 involving a RAS-mediated bradykinin stormMichael R Garvin, Christiane Alvarez, J Izaak Miller, et al.Computational and Structural Biotechnology Journal|December 1, 2021
A k-mer based approach for classifying viruses without taxonomy identifies viral associations in human autism and plant microbiomesBenjamin J Garcia, Ramanuja Simha, Michael Garvin, et al.Frontiers in Genetics|September 10, 2025
Drought adaptation index (DAI) based on BLUP as a selection approach for drought-resilient switchgrass germplasmShiva Om Makaju, Hari Bahadur Chhetri, Chanaka Roshan Abeyratne, et al.Environmental Microbiology Reports|April 11, 2019
Scavenging organic nitrogen and remodelling lipid metabolism are key survival strategies adopted by the endophytic fungi, Serendipita vermifera and Serendipita bescii to alleviate nitrogen and phosphorous starvation in vitroPrasun Ray, Paul E Abraham, Yingqing Guo, et al.Journal of Experimental Botany|July 7, 2026
Single-cell and spatial omics in plants: from cellular atlases to regulatory mechanismsMiaomiao Li, Gabriela Madrid, Mallory Morgan, et al.Internet Interventions|August 17, 2021
A systematic review of the engagement with social media-delivered interventions for improving health outcomes among sexual and gender minoritiesCésar G Escobar-Viera, Eleanna M Melcher, Rebekah S Miller, et al.Journal of Neurodevelopmental Disorders|July 1, 2014
Neural synchrony examined with magnetoencephalography (MEG) during eye gaze processing in autism spectrum disorders: preliminary findingsRenée Lajiness-O'Neill, Annette E Richard, John E Moran, et al.The Journal of the Association of Nurses in AIDS Care : JANAC|September 11, 2025
Dreams Interrupted: A Secondary Data Analysis Unraveling Predictors and Correlates of Insomnia Symptoms and Sleep Distress Among Ghanian Men Who Have Sex With Men Living With HIVUzoji Nwanaji-Enwerem, Guangyu Tony Tong, Abdul Cadri, et al.The Journal of Chemical Physics|December 2, 2021
OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracyAnders S Christensen, Sai Krishna Sirumalla, Zhuoran Qiao, et al.The Journal of Physical Chemistry. A|June 17, 2022
Fast Near Ab Initio Potential Energy Surfaces Using Machine LearningFenris Lu, Lixue Cheng, Ryan J DiRisio, et al.Pageof 20