Selected Grantee Publications
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- 3 results found
- R24
- Artificial Intelligence/Machine Learning
- Spectrometry
Proof-of-Concept Studies With a Computationally Designed Mpro Inhibitor as a Synergistic Combination Regimen Alternative to Paxlovid
Papini et al., PNAS. 2024.
As the spread and evolution of SARS-CoV-2 continues, it is important to continue to not only work to prevent transmission but to develop improved antiviral treatments as well. The SARS-CoV-2 main protease (Mpro) has been established as a prominent druggable target. In the current study, investigators evaluate Mpro61 as a lead compound, utilizing structural studies, in vitro pharmacological profiling to examine possible off-target effects and toxicity, cellular studies, and testing in a male and female mouse model for SARS-CoV-2 infection. Results indicate favorable pharmacological properties, efficacy, and drug synergy, as well as complete recovery from subsequent challenge by SARS-CoV-2, establishing Mpro61 as a promising potential preclinical candidate. Supported by ORIP (R24OD026440, S10OD021527), NIAID, and NIGMS.
The Monarch Initiative in 2024: An Analytic Platform Integrating Phenotypes, Genes and Diseases Across Species
Putman et al., Nucleic Acids Research. 2024.
https://pubmed.ncbi.nlm.nih.gov/38000386/
The Monarch Initiative aims to bridge the gap between the genetic variations, environmental determinants, and phenotypic outcomes critical for translational research. The Monarch app provides researchers access to curated data sets with information on genes, phenotypes, and diseases across species and advanced analysis tools for such diverse applications as variant prioritization, deep phenotyping, and patient profile matching. Researchers describe upgrades to the app, including scalable cloud-based infrastructure, simplified data ingestion and knowledge graph integration systems, enhanced data mapping and integration standards, and a new user interface with novel search and graph navigation features. A customized plugin for OpenAI’s ChatGPT allows the use of large language models to interrogate knowledge in the Monarch graph and increase the reliability of the responses of Monarch’s analytic tools. These upgrades will enhance clinical diagnosis and the understanding of disease mechanisms. Supported by ORIP (R24OD011883), NLM, and NHGRI.
A Multidimensional Metabolomics Workflow to Image Biodistribution and Evaluate Pharmacodynamics in Adult Zebrafish
Jackstadt et al., Disease Models & Mechanisms. 2022.
https://www.doi.org/10.1242/dmm.049550
The evaluation of tissue distribution and pharmacodynamic properties of a drug is essential but often expensive in clinical research. The investigators developed a multidimensional metabolomics platform to evaluate drug activity that integrates mass spectrometry–based imaging, absolute drug quantitation, in vivo isotope tracing, and global metabolome analysis in zebrafish. They validated this platform by evaluating whole-body distribution of the anti-rheumatic agent hydroxychloroquine sulfate and its impact on the systemic metabolism of adult zebrafish. This work suggests that the multidimensional metabolomics platform is a cost-effective method for evaluating on- and off-target effects of drugs. Supported by ORIP (R24OD024624) and NIEHS.