2024
Reátegui-Zirena EG, Lange SS, Jenkins A, Heintz MM, Franke K, Perry CS, Thompson C , et al. Acute health-based screening level derivation for cyanotoxins (microcystin, cylindrospermopsin and anatoxins). Abstract 7.05P-Th-197, Society of Environmental Toxicology and Chemistry, 45th Annual Meeting, Fort Worth, TX, October 2024.
View Abstract
Publication: Abstracts and Presentations
/ Topics: ecotoxicology , water
Covington TR, Borghoff SJ , Bacigalupi L, O’Neal S, Cook B, Nelms M, et al. Prediction of chemical suitability for screening in a high-throughput assay platform using an in silico mass balance model. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.
View Abstract
Publication: Abstracts and Presentations
/ Topics: modeling
Lea IA , Borghoff SJ, Chew R, Bell S, Edwards S, Vasko J, et al. Leveraging computational tools for enhanced human-in-the-loop systematic literature reviews. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.
View Abstract
Publication: Abstracts and Presentations
/ Topics: Systematic Review
Holt JR, Chew RF, Bunnage E, Lea I, Borghoff SJ, Sayer R, et al. Categorizing articles for environmental health systematic evidence mapping: A zero-shot machine learning approach using large language models. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.
View Abstract
Publication: Abstracts and Presentations
/ Topics: Health Economics and Outcomes Research (HEOR) , Systematic Review
Banerjee A, Kar S, Roy K, Patlewicz G , Charest N, Benfenati E, Cronin MTD. 2024. Molecular similarity in chemical informatics and predictive toxicity modeling: From quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learning. Crit Rev Toxicol 54(9):659-684; doi: 10.1080/10408444.2024.2386260 . PMID: 39225123.
View Abstract
Publication: Manuscripts
/ Topics: modeling
Hagan B, Patlewicz G , Shah I. Metabolic similarity in read-across prediction: A case study using graph convolutional networks to predict genotoxicity outcomes from metabolic networks. Abstract 62, American Society for Cellular and Computation Toxicology 13th Annual Meeting, Research Triangle Park, NC, October 2024.
Publication: Abstracts and Presentations
/ Topics: computational toxicology , read-across
Leary AJ, Patlewicz G , Shah I. An exploration of the use of hybrid fingerprints in generalized read-across and their impact on predictive performance for selected in vivo toxicity outcomes. Abstract 42, American Society for Cellular and Computation Toxicology 13th Annual Meeting, Research Triangle Park, NC, October 2024.
Publication: Abstracts and Presentations
/ Topics: computational toxicology , read-across
Rogers JD, Patlewicz G , Baker E, Bettmann A, Clippinger A, Paul Friedman K. High-throughput safety pharmacology screening to better understand data-poor chemicals. Abstract 57, American Society for Cellular and Computation Toxicology 13th Annual Meeting, Research Triangle Park, NC, October 2024.
Publication: Abstracts and Presentations
/ Topics: pharmacology
Perry CS , Verwiel AH, Covington TR, Proctor DM. 2024. PBPK modeling demonstrates that exposure time adjustment is unnecessary for setting an acute manganese inhalation exposure guideline. Regul Toxicol Pharmacol 153(Nov):105698; doi: 10.1016/j.yrtph.2024.105698 . PMID: 39251127.
View Abstract
Publication: Manuscripts
/ Topics: Air Quality , Manganese , modeling , PBPK/PBDE
Patlewicz G , Judson RS, Williams AJ, Butler T, Barone Jr. S, Carstens K, Cowden J, Dawson JD, et al. 2024. Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment. Comput Toxicol 131(Sep 1):100327; doi: 10.1016/j.comtox.2024.100327 . PMID: 40547594.
View Abstract