Suchergebnisse - "Toxicity data"

Updates to the Toxicity Values Database, ToxValDB

Autoren: Chelsea Weitekamp

Schlagwörter: Toxicology (incl. clinical toxicology), ToxValDB, in vivo toxicity data, CompTox Chemicals Dashboard, exposure guideline values

Relation: https://figshare.com/articles/presentation/Updates_to_the_Toxicity_Values_Database_ToxValDB/28540724

Verfügbarkeit: https://doi.org/10.23645/epacomptox.28540724.v1
https://figshare.com/articles/presentation/Updates_to_the_Toxicity_Values_Database_ToxValDB/28540724

An Integral Activity-Based Protein Profiling Method for Higher Throughput Determination of Protein Target Sensitivity to Small Molecules

Autoren: Chathuri J. Kombala Agne Sveistyte Tong Zhang et al.

Schlagwörter: Biochemistry, Genetics, Biotechnology, Immunology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, unique proteins affected, tandem mass tag, pooled competition sample, ms analyses 3, lc – ms, higher throughput workflows, higher throughput determination, discrete paraoxon concentrations, small molecules activity, protein target sensitivity, 8 coc concentrations, screen diverse chemicals, pooled samples across, based protein profiling, approach highly appealing, concentrations may, relative sensitivity, integral activity, coc ), wide range, toxicity data, strategy reduced, results showed, optimized conditions

Verfügbarkeit: https://doi.org/10.1021/acschembio.5c00412.s001
https://figshare.com/articles/journal_contribution/An_Integral_Activity-Based_Protein_Profiling_Method_for_Higher_Throughput_Determination_of_Protein_Target_Sensitivity_to_Small_Molecules/29921783

Update on EPA NAMs Work Plan Implementation

Autoren: Alison Harrill

Schlagwörter: Toxicology (incl. clinical toxicology), bioactivity assessment, new approach methods, non-targeted analysis, Toxicity data, value of information

Relation: https://figshare.com/articles/presentation/Update_on_EPA_NAMs_Work_Plan_Implementation/25869109

Verfügbarkeit: https://doi.org/10.23645/epacomptox.25869109.v1
https://figshare.com/articles/presentation/Update_on_EPA_NAMs_Work_Plan_Implementation/25869109

Human biomonitoring and toxicokinetics as key building blocks for next generation risk assessment

Autoren: Reale, Elena Jeddi, Maryam Zare Paini, Alicia et al.

Quelle: ISSN:0160-4120 ; ISSN:1873-6750 ; Environment International, vol. 184, Art.No. ARTN 108474.

Schlagwörter: Science & Technology, Life Sciences & Biomedicine, Environmental Sciences, Environmental Sciences & Ecology, PBPK, Adverse outcome pathway, Chemical risk assessment, Biomarkers of exposure and effect, IN-VITRO, URINE SAMPLES, TOXICITY DATA, EXPOSURE, EQUIVALENTS, BIOMARKERS, CHEMICALS, PHTHALATE, METABOLITES, GLYPHOSATE, Animals, Humans, Toxicokinetics, Models, Biological, Biological Monitoring, Risk Assessment, Adverse Outcome Pathways

Dateibeschreibung: application/pdf

Relation: https://lirias.kuleuven.be/handle/20.500.12942/749606; https://doi.org/10.1016/j.envint.2024.108474; https://pubmed.ncbi.nlm.nih.gov/38350256

Verfügbarkeit: https://lirias.kuleuven.be/handle/20.500.12942/749606
https://hdl.handle.net/20.500.12942/749606
https://lirias.kuleuven.be/retrieve/9d23f25a-3fdd-41de-afc4-ec34316c0a63
https://doi.org/10.1016/j.envint.2024.108474
https://pubmed.ncbi.nlm.nih.gov/38350256

Contamination of Urban Stormwater Pond Sediments: A Study of 259 Legacy and Contemporary Organic Substances

Autoren: Kelsey Flanagan Godecke-Tobias Blecken Heléne Österlund et al.

Quelle: Environ Sci Technol

Schlagwörter: polybrominated diphenyl ethers, Geologic Sediments, Chemical Sciences not elsewhere classified, Urban Stormwater Pond Sediments, polychlorinated biphenyls, water quality, 01 natural sciences, Inorganic Chemistry, perfluorinated substances, contamination, Swedish municipalities, Environmental Sciences not elsewhere classified, 92 substances, 32 samples, threshold values, 11. Sustainability, Cities, Polycyclic Aromatic Hydrocarbons, Ponds, 0105 earth and related environmental sciences, toxicity data, Ecology, 259 Legacy, 6. Clean water, treatment capacity, 13. Climate action, 52 substances, 17 stormwater sedimentation facilities, aliphatic hydrocarbons, Contemporary Organic Substances Sto, Water Pollutants, Chemical, Biotechnology, Biological Sciences not elsewhere classified, Environmental Monitoring

Zugangs-URL: https://pubs.acs.org/doi/pdf/10.1021/acs.est.0c07782
https://pubmed.ncbi.nlm.nih.gov/33606502
https://pubs.acs.org/doi/10.1021/acs.est.0c07782
https://europepmc.org/article/MED/33606502
https://ui.adsabs.harvard.edu/abs/2021EnST...55.3009F/abstract
https://www.scilit.net/article/7d319ceb1c92132b54e55f1d0626403e?action=show-references

Enabling High-Throughput Searches for Multiple Chemical Data Using the U.S.-EPA CompTox Chemicals Dashboard

Autoren: Charles N. Lowe Antony J. Williams

Quelle: Journal of Chemical Information and Modeling. 61:565-570

Schlagwörter: 0301 basic medicine, Chemical Sciences not elsewhere classified, Environmental Protection Agency, Databases, Factual, Information Systems not elsewhere classified, Quantitative Structure-Activity Relationship, Biochemistry, sourced, Inorganic Chemistry, 03 medical and health sciences, Sociology, Space Science, Environmental Sciences not elsewhere classified, Genetics, United States Environmental Protection Agency, Pharmacology, 0303 health sciences, Enabling High-Throughput Searches, Multiple Chemical Data, Ecology, QSAR, U.S.-EPA CompTox Chemicals Dashboard, United States, vivo toxicity data, 3. Good health, chemical information, Chemical Abstract Service registry, CompTox Chemicals Dashboard, batch search feature, Developmental Biology, Biological Sciences not elsewhere classified

Zugangs-URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630643
https://pubmed.ncbi.nlm.nih.gov/33481596
https://dblp.uni-trier.de/db/journals/jcisd/jcisd61.html#LoweW21
https://pubs.acs.org/doi/10.1021/acs.jcim.0c01273
https://www.ncbi.nlm.nih.gov/pubmed/33481596
https://doi.org/10.1021/acs.jcim.0c01273

Integrating Physiologically Based Pharmacokinetic Modeling-Based Forward Dosimetry and in Vitro Bioassays to Improve the Risk Assessment of Organophosphate Esters on Human Health

Autoren: Xiaolei Wang (139592) Xiaoli Zhao (118708) Di Shi (6061718) et al.

Schlagwörter: Biochemistry, Medicine, Microbiology, Pharmacology, Biotechnology, Science Policy, Mental Health, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, total exposure level, main exposure pathway, 94 × 10, 68 × 10, 22 × 10, 18 × 10, vitro toxicity data, predicted median levels, based forward dosimetry, human pbpk models, opes inducing bioactivities, 5 ± 8, using organophosphate esters, health risk assessment, risk assessment, organophosphate esters, human health, vitro bioassays, opes based, ope levels

Relation: https://figshare.com/articles/journal_contribution/Integrating_Physiologically_Based_Pharmacokinetic_Modeling-Based_Forward_Dosimetry_and_in_Vitro_Bioassays_to_Improve_the_Risk_Assessment_of_Organophosphate_Esters_on_Human_Health/21803447

Verfügbarkeit: https://doi.org/10.1021/acs.est.2c04576.s001

Acute Toxicity Assessment and Prediction Models of Four Heavy Metals

Autoren: Xin Zheng Chao Wei Juntao Fan et al.

Quelle: Toxics, Vol 11, Iss 4, p 346 (2023)

Schlagwörter: water quality criteria, native species, species sensitivity distribution, warm-water fish, toxicity data, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/2305-6304/11/4/346; https://doaj.org/toc/2305-6304; https://doaj.org/article/186da1ad5b5d4a44bb8201fcab9617ed

Verfügbarkeit: https://doi.org/10.3390/toxics11040346
https://doaj.org/article/186da1ad5b5d4a44bb8201fcab9617ed

Evaluation of Relevancy, Reliability, and Quality of Toxicity Data in the ECOTOX Knowledgebase

Autoren: Dale Hoff Jennifer H. Olker Brian Kinziger et al.

Schlagwörter: Toxicology (incl. clinical toxicology), Bioavailability and ecotoxicology, Database systems, ECOTOX Knowledgebase, Data Quality, Systematic Review, Toxicity Data

Relation: https://figshare.com/articles/poster/Evaluation_of_Relevancy_Reliability_and_Quality_of_Toxicity_Data_in_the_ECOTOX_Knowledgebase/28999793

Verfügbarkeit: https://doi.org/10.23645/epacomptox.28999793.v1
https://figshare.com/articles/poster/Evaluation_of_Relevancy_Reliability_and_Quality_of_Toxicity_Data_in_the_ECOTOX_Knowledgebase/28999793

Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data

Autoren: Morger, Andrea de Lomana, Marina Garcia Norinder, Ulf et al.

Quelle: Sci Rep
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)

Schlagwörter: 0301 basic medicine, Science, Molecular Conformation, 301207 Pharmazeutische Chemie, Article, Machine Learning, 03 medical and health sciences, 106005 Bioinformatik, 301211 Toxicology, Bioinformatics (Computational Biology), 0303 health sciences, RECEPTOR, Drug discovery, PDBBIND DATABASE, CONFORMAL PREDICTION, data drifts, Computational biology and bioinformatics, Machine learning (ML) models, 301211 Toxikologie, Calibration, Bioinformatik (beräkningsbiologi), Medicine, Biological Assay, chemical toxicity data, 106005 Bioinformatics, 301207 Pharmaceutical chemistry

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.researchsquare.com/article/rs-945085/latest.pdf
https://www.researchsquare.com/article/rs-945085/v1.pdf?c=1634247131000
https://pubmed.ncbi.nlm.nih.gov/35508546
https://doaj.org/article/9640412f156b4083ba647cd502b86051
https://ucrisportal.univie.ac.at/de/publications/8915bd71-c2b5-4c5f-87a9-f3e77d163171
https://doi.org/10.1038/s41598-022-09309-3
https://www.researchsquare.com/article/rs-945085/v1
https://phaidra.univie.ac.at/o:1666670
https://hdl.handle.net/11353/10.1666670
https://doi.org/10.1038/s41598-022-09309-3
https://refubium.fu-berlin.de/handle/fub188/42633
https://doi.org/10.17169/refubium-42357
https://doi.org/10.1038/s41598-022-09309-3
https://discovery-pp.ucl.ac.uk/id/eprint/10149273/
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-475196

Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data

Autoren: Morger, Andrea Garcia de Lomana, Marina Norinder, Ulf et al.

Schlagwörter: chemical toxicity data, data drifts, Machine learning (ML) models, ddc:610

Dateibeschreibung: application/pdf

Verfügbarkeit: https://refubium.fu-berlin.de/handle/fub188/42633
https://doi.org/10.17169/refubium-42357
https://doi.org/10.1038/s41598-022-09309-3

The US EPA Sequence Alignment to Predict Across Species Susceptibility Tool for Species Extrapolation

Autoren: Carlie LaLone

Schlagwörter: Toxicology (incl. clinical toxicology), SeqAPASS, data visualization species extrapolation, adverse outcome pathway, toxicity data, Toxicology

Relation: https://figshare.com/articles/presentation/The_US_EPA_Sequence_Alignment_to_Predict_Across_Species_Susceptibility_Tool_for_Species_Extrapolation/11628039

Verfügbarkeit: https://doi.org/10.23645/epacomptox.11628039.v1
https://figshare.com/articles/presentation/The_US_EPA_Sequence_Alignment_to_Predict_Across_Species_Susceptibility_Tool_for_Species_Extrapolation/11628039

US EPA Research Area 3 Overview: Human health and aquatic life criteria

Autoren: Ann Grimm Adam Biales Russell Erickson

Schlagwörter: Toxicology (incl. clinical toxicology), aquatic life, human health, water quality, toxicity data, Toxicology

Relation: https://figshare.com/articles/presentation/US_EPA_Research_Area_3_Overview_Human_health_and_aquatic_life_criteria/13058363

Verfügbarkeit: https://doi.org/10.23645/epacomptox.13058363.v1
https://figshare.com/articles/presentation/US_EPA_Research_Area_3_Overview_Human_health_and_aquatic_life_criteria/13058363

Where are we now? Celebrating the 10th Incremental Release of the CompTox Chemicals Dashboard

Autoren: Antony Williams

Schlagwörter: Toxicology (incl. clinical toxicology), toxicity data, cheminformatics, predicted data, physchem data, CompTox Chemicals Dashboard, Toxicology

Relation: https://figshare.com/articles/presentation/Where_are_we_now_Celebrating_the_10th_Incremental_Release_of_the_CompTox_Chemicals_Dashboard/13266725

Verfügbarkeit: https://doi.org/10.23645/epacomptox.13266725.v1
https://figshare.com/articles/presentation/Where_are_we_now_Celebrating_the_10th_Incremental_Release_of_the_CompTox_Chemicals_Dashboard/13266725

Current Research in Toxicology

Schlagwörter: toxicology, systems toxicology, computational models, synthetic biology, mechanistic toxicity data, apical effects, Toxicology. Poisons, RA1190-1270

Dateibeschreibung: electronic resource

Relation: https://www.elsevier.com/journals/current-research-in-toxicology/2666-027x/guide-for-authors; https://www.journals.elsevier.com/current-research-in-toxicology/; https://www.elsevier.com/authors/open-access/choice#waivers; https://www.journals.elsevier.com/current-research-in-toxicology

Zugangs-URL: https://doaj.org/toc/2666-027X

Contamination of Urban Stormwater Pond Sediments: A Study of 259 Legacy and Contemporary Organic Substances

Autoren: Kelsey Flanagan (10170536) Godecke-Tobias Blecken (10170539) Heléne Österlund (10170542) et al.

Schlagwörter: Biotechnology, Ecology, Inorganic Chemistry, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, contamination, 17 stormwater sedimentation facilities, treatment capacity, 92 substances, perfluorinated substances, polybrominated diphenyl ethers, aliphatic hydrocarbons, Swedish municipalities, 32 samples, toxicity data, Contemporary Organic Substances Sto., Urban Stormwater Pond Sediments, water quality, threshold values, 52 substances, 259 Legacy, polychlorinated biphenyls

Relation: https://figshare.com/articles/journal_contribution/Contamination_of_Urban_Stormwater_Pond_Sediments_A_Study_of_259_Legacy_and_Contemporary_Organic_Substances/14066492

Verfügbarkeit: https://doi.org/10.1021/acs.est.0c07782.s001

Enabling High-Throughput Searches for Multiple Chemical Data Using the U.S.-EPA CompTox Chemicals Dashboard

Autoren: Charles N. Lowe (10024763) Antony J. Williams (132578)

Schlagwörter: Biochemistry, Genetics, Pharmacology, Ecology, Sociology, Developmental Biology, Inorganic Chemistry, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, sourced, CompTox Chemicals Dashboard, chemical information, vivo toxicity data, Chemical Abstract Service registry ., U.S.-EPA CompTox Chemicals Dashboard, batch search feature, Enabling High-Throughput Searches, Environmental Protection Agency, Multiple Chemical Data, QSAR

Relation: https://figshare.com/articles/journal_contribution/Enabling_High-Throughput_Searches_for_Multiple_Chemical_Data_Using_the_U_S_-EPA_CompTox_Chemicals_Dashboard/13632239

Verfügbarkeit: https://doi.org/10.1021/acs.jcim.0c01273.s002

Current Research in Toxicology

Schlagwörter: toxicology, systems toxicology, computational models, synthetic biology, mechanistic toxicity data, apical effects, Toxicology. Poisons, RA1190-1270

Relation: https://www.elsevier.com/authors/open-access/choice#waivers; https://www.journals.elsevier.com/current-research-in-toxicology; https://www.elsevier.com/journals/current-research-in-toxicology/2666-027x/guide-for-authors; https://www.journals.elsevier.com/current-research-in-toxicology/

Verfügbarkeit: https://doaj.org/toc/2666-027X

Development of artificial intelligence-based in-silico toxicity models : data quality analysis and model performance enhancement through data generation

Autoren: Malazizi, Ladan Neagu, Daniel C. Graves-Morris, Peter R.

Weitere Verfasser: Malazizi, Ladan Neagu, Daniel C. Graves-Morris, Peter R.

Schlagwörter: 615.9, Predictive toxicology, Toxicity data, Pesticides, Artificial intelligence, Data quality, Data generation, Model performance, QSAR, Classification algorithm, Clustering, Imbalanced dataset, Endpoints

Zugangs-URL: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553896

A Chemical Category-Based Approach for Selecting and Screening PFAS for Toxicity and Toxicokinetic Testing

Autoren: Russell Thomas

Schlagwörter: Toxicology (incl. clinical toxicology), PFAS, high throughput toxicokinetics, toxicity data, new approach methods, Toxicology

Verfügbarkeit: https://doi.org/10.23645/epacomptox.9742535.v1
https://figshare.com/articles/presentation/A_Chemical_Category-Based_Approach_for_Selecting_and_Screening_PFAS_for_Toxicity_and_Toxicokinetic_Testing/9742535