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(http://www.niehs.nih.gov//portfolio/index.cfm?do=portfolio.grantdetail&&grant_number=R13ES035636&format=word)
| Principal Investigator: Trakselis, Michael A | |
|---|---|
| Institute Receiving Award | Baylor University |
| Location | Waco, TX |
| Grant Number | R13ES035636 |
| Funding Organization | National Institute of Environmental Health Sciences |
| Award Funding Period | 16 Jun 2023 to 31 May 2024 |
| DESCRIPTION (provided by applicant): | Project Summary/Abstract The goal of this application is to obtain support for the American Chemical Society Division of Chemical Toxicology (TOXI) at the 266th 2023 National Meeting program, which will be held August 13-17, 2023, in San Francisco, CA. The mission of the Division of Chemical Toxicology is to improve human health and public welfare by promoting the understanding of chemical mechanisms that govern disease processes and the toxicity of drugs, environmental agents, and endogenous chemicals. Our goals include providing a forum for communicating research in the field of chemical toxicology, encouraging research in chemical mechanisms of toxicity, and facilitating connections between academia, industry, and policy in scientific areas of mutual interest. We are also committed to developing the leadership and professional development skills of scientists at all levels. Thus, the requested funds will be used to support travel awards and expenses for graduate students, postdoctoral scholars, and junior faculty. The overall TOXI program is organized around the theme of “Toxicological Predictions, Markers, and Outcomes Affecting Human Health” and complements the National Meeting theme of Harnessing the Power of Data. The program includes five thematic symposia, which will feature invited oral presentations by a diverse group of established and emerging investigators with a range of perspectives on each topic. The five thematic symposia are: (1) “Application of Augmented Artificial Intelligence in Toxicology Metabolism Prediction”, co-promoted by the Divisions of Chemical Information (CINF) and Medicinal Chemistry (MEDI), will explore the role of augmented AI in predicting toxic metabolites; (2) “Toxicity & Drug-Drug Interactions Resulting from Inhibition of Transporters”, co-promoted with MEDI, will examine the impact of inhibiting transporters to regulate drug efficacies; (3) “Advanced in vitro Models for Chemical Toxicity,” co-promoted with MEDI, focuses on recent progress in development of organ-on-chip systems on testing chemical toxicity; (4) “Linking Toxicology and Human Health Through the Exposome”, copromoted with the Divisions of Biological Chemistry (BIOL) and Environmental Chemistry (ENVR), describes recent advances in measuring lifetime of chemical exposures and disparities in vulnerable populations; and (5) “Endogenous Metabolites in Aging and Disease”, copromoted with BIOL, focuses on the chemistry and biology that underly cellular responses to misregulated formation of endogenous metabolites. The scientific program is clearly aligned with the mission of NIEHS. |
| Science Code(s)/Area of Science(s) |
Primary: 72 - Predictive Toxicology/Assay Development Secondary: 03 - Carcinogenesis/Cell Transformation |
| Publications | See publications associated with this Grant. |
| Program Officer | Lingamanaidu Ravichandran |