Results 181 to 190 of about 2,598,515 (356)

Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics

Environmental and Molecular Mutagenesis, EarlyView.
Abstract As a part of the International Workshop on Genotoxicity Testing (IWGT) in 2022, a workgroup was formed to evaluate the level of validation and regulatory acceptance of transcriptomic biomarkers that identify genotoxic substances. Several such biomarkers have been developed using various molecular techniques and computational approaches. Within
Matthew J. Meier, Florian Caiment, J. Christopher Corton, Roland Frötschl, Yurika Fujita, Danyel Jennen, Roman Mezencev, Carole Yauk   +7 more
wiley   +1 more source

Consensus findings of an International Workshops on Genotoxicity Testing workshop on using transcriptomic biomarkers to predict genotoxicity

Environmental and Molecular Mutagenesis, EarlyView.
Abstract Gene expression biomarkers have the potential to identify genotoxic and non‐genotoxic carcinogens, providing opportunities for integrated testing and reducing animal use. In August 2022, an International Workshops on Genotoxicity Testing (IWGT) workshop was held to critically review current methods to identify genotoxicants using ...
Roland Froetschl, J. Christopher Corton, Henghong Li, Jiri Aubrecht, Scott S. Auerbach, Florian Caiment, Tatyana Y. Doktorova, Yurika Fujita, Danyel Jennen, Naoki Koyama, Matthew J. Meier, Roman Mezencev, Leslie Recio, Takayoshi Suzuki, Carole L. Yauk   +14 more
wiley   +1 more source

Review of Transcriptomic Biomarkers That Predict In Vitro Genotoxicity in Human Cell Lines

Environmental and Molecular Mutagenesis, EarlyView.
ABSTRACT The current genotoxicity testing paradigm provides little mechanistic information, has poor specificity in predicting carcinogenicity in humans, and is not suited to assessing a large number of chemicals. Genomic technologies enable the characterization of genome‐wide transcriptional changes in response to chemical treatments that can inform ...
Heng‐Hong Li, Jiri Aubrecht, Tatyana Y. Doktorova, Danyel Jennen, J. Christopher Corton, Roland Froetschl, Roman Mezencev, Carole L. Yauk   +7 more
wiley   +1 more source

Identifying key events in AOPs for embryonic disruption using computational toxicology [PDF]

, 2014
Thomas B. Knudsen
openalex   +1 more source

Comparing Transcriptomic Responses to Chemicals Across Six Species Using the EcoToxChip RNASeq Database

Environmental Toxicology and Chemistry, EarlyView.
Abstract The EcoToxChip project includes RNA‐sequencing data from experiments involving model (Japanese quail, fathead minnow, African clawed frog) and ecological (double‐crested cormorant, rainbow trout, northern leopard frog) species at multiple life stages (whole embryo and adult) exposed to eight chemicals of environmental concern known to perturb ...
Krittika Mittal, Jessica Ewald, Doug Crump, Jessica Head, Markus Hecker, Natacha Hogan, Jianguo Xia, Niladri Basu   +7 more
wiley   +1 more source

Toxicological Analysis by Computational Assessment Tools of Herbal Medicine Compounds Urushiol II and Bhilawanol-B from Semecarpus Anacardium

, 2022
K. Jyothi Prasad, Sivakumar. Vulava, Vijaya Chandra Reddy Konda, Hardip Sandhu   +3 more
openalex   +2 more sources

Nanoinformatics 2010 Program [PDF]

, 2010
Baker, Nathan A, Chaka, Anne, Cohen, Yoram, Colvin, Vicki, Fritts, Martin, Geraci, Charles L., Hoover, Mark D, Ku, Sharon, Kulinowski, Kristen M, Lippell, Phil, Luo, James, McLennan, Michael, Morse, Jeffrey, Ostraat, Michele L, Rajan, Krishna, Reznik-Zellen, Rebecca, Schad, Peter, Tuominen, Mark T.   +17 more
core  

NNI Nanoinformatics Conference 2023: Movement Toward a Common Infrastructure for Federal nanoEHS Data Computational Toxicology: Short Communication. [PDF]

Comput Toxicol
Mortensen HM, Amos JD, Exner TE, Flores K, Harper S, Jarabek AM, Klaessig F, Lobaskin V, Lynch I, Marcum CS, Martens M, Brough B, Spadola Q, Bjorkland R.   +13 more
europepmc   +1 more source

Emerging Target Discovery Strategies Drive the Decoding of Therapeutic Power of Natural Products and Further Drug Development: A Case Study of Celastrol

Exploration, EarlyView.
Using celastrol as a case study, this review summarizes various target discovery strategies for natural products, including chemical proteomics, protein microarray, degradation‐based protein profiling, proteome‐wide label‐free approaches, network pharmacology, target‐based drug screening, and indirect strategies.
Yanbei Tu, Guiyu Dai, Yanyan Chen, Lihua Tan, Hanqing Liu, Meiwan Chen   +5 more
wiley   +1 more source

Assessing Hazard Potential of Select Chemicals using Computational Toxicology Models

, 2023
Renu Nayar
openalex   +1 more source