Predictive models in ecotoxicology: Bridging the gap between scientific progress and regulatory applicability—Remarks and research needs
暂无分享,去创建一个
Marco Vighi | Alpar Barsi | Andreas Focks | Francesca Grisoni | A. Focks | M. Vighi | F. Grisoni | A. Barsi
[1] Paola Gramatica,et al. Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient , 2011, J. Chem. Inf. Model..
[2] Roberto Todeschini,et al. QSAR models for bioconcentration: is the increase in the complexity justified by more accurate predictions? , 2015, Chemosphere.
[3] Valery E. Forbes,et al. Population-level consequences of spatially heterogeneous exposure to heavy metals in soil: An individual-based model of springtails , 2013 .
[4] David A. Winkler,et al. Understanding the Roles of the "Two QSARs" , 2016, J. Chem. Inf. Model..
[5] Philippe Veber,et al. Fit Reduced GUTS Models Online: From Theory to Practice. , 2018, Integrated environmental assessment and management.
[6] Roberto Todeschini,et al. Beware of Unreliable Q2! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR Models , 2016, J. Chem. Inf. Model..
[7] Pernille Thorbek,et al. Incorporating toxicokinetics into an individual-based model for more realistic pesticide exposure estimates: A case study of the wood mouse , 2014 .
[8] Marco Vighi,et al. Acceptable‐by‐design QSARs to predict the dietary biomagnification of organic chemicals in fish , 2018, Integrated environmental assessment and management.
[9] Marco Vighi,et al. Predictive Models in Ecotoxicology: Bridging the Gap Between Scientific Progress and Regulatory Applicability. , 2018, Integrated environmental assessment and management.
[10] Andreas Focks,et al. Integrating chemical fate and population-level effect models for pesticides at landscape scale: New options for risk assessment , 2014 .
[11] Alexander Tropsha,et al. Trust, But Verify: On the Importance of Chemical Structure Curation in Cheminformatics and QSAR Modeling Research , 2010, J. Chem. Inf. Model..
[12] Davide Ballabio,et al. Structural alerts for the identification of bioaccumulative compounds , 2018, Integrated environmental assessment and management.
[13] Uko Maran,et al. QSAR DataBank repository: open and linked qualitative and quantitative structure–activity relationship models , 2015, Journal of Cheminformatics.
[14] C. Hansch. Quantitative approach to biochemical structure-activity relationships , 1969 .
[15] K. Roy,et al. Be aware of error measures. Further studies on validation of predictive QSAR models , 2016 .
[16] Cheryl A Murphy,et al. Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment , 2018, Integrated environmental assessment and management.
[17] Volker Grimm,et al. Dynamic Energy Budget theory meets individual‐based modelling: a generic and accessible implementation , 2012 .
[18] Francisco Torrens,et al. Prediction of Aquatic Toxicity of Benzene Derivatives to Tetrahymena pyriformis According to OECD Principles. , 2016, Current pharmaceutical design.
[19] Roberto Todeschini,et al. Comments on the Definition of the Q2 Parameter for QSAR Validation , 2009, J. Chem. Inf. Model..
[20] Lulu Zhang,et al. Toxicokinetics and toxicodynamics of lead in the soil invertebrate Enchytraeus crypticus. , 2017, Environmental pollution.
[21] Ralph Kühne,et al. PBT assessment under REACH: Screening for low aquatic bioaccumulation with QSAR classifications based on physicochemical properties to replace BCF in vivo testing on fish. , 2018, The Science of the total environment.
[22] Thomas G. Preuss,et al. Demographic Toxicokinetic-Toxicodynamic Modeling of Lethal Effects. , 2016, Environmental science & technology.
[23] Marco Vighi,et al. Ecotoxicology: The Challenges for the 21st Century , 2013 .
[24] Shilpi Chauhan,et al. Use of the Monte Carlo Method for OECD Principles‐Guided QSAR Modeling of SIRT1 Inhibitors , 2017, Archiv der Pharmazie.
[25] Ralph Kühne,et al. External Validation and Prediction Employing the Predictive Squared Correlation Coefficient Test Set Activity Mean vs Training Set Activity Mean , 2008, J. Chem. Inf. Model..
[26] Steve Norman,et al. Modelling effects of time-variable exposure to the pyrethroid beta-cyfluthrin on rainbow trout early life stages , 2018, Environmental Sciences Europe.
[27] A M Richard,et al. An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling$ , 2016, SAR and QSAR in environmental research.
[28] Paul C Thomas,et al. How in silico and QSAR approaches can increase confidence in environmental hazard and risk assessment , 2018, Integrated environmental assessment and management.
[29] Ruili Huang,et al. CERAPP: Collaborative Estrogen Receptor Activity Prediction Project , 2016, Environmental health perspectives.
[30] D. Young,et al. Are the Chemical Structures in Your QSAR Correct , 2008 .
[31] Davide Ballabio,et al. Multivariate comparison of classification performance measures , 2017 .
[32] Roberto Todeschini,et al. On the Misleading Use of QF32 for QSAR Model Comparison , 2018, Molecular informatics.
[33] Elke I. Zimmer,et al. Simplified dynamic energy budget model for analysing ecotoxicity data. , 2012 .
[34] Albert A Koelmans,et al. Dynamics and recovery of a sediment-exposed Chironomus riparius population: A modelling approach. , 2016, Environmental pollution.
[35] S. H. Bennekou,et al. Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms , 2018, EFSA journal. European Food Safety Authority.
[36] José Paulo Sousa,et al. Towards a landscape scale management of pesticides: ERA using changes in modelled occupancy and abundance to assess long-term population impacts of pesticides. , 2015, The Science of the total environment.
[37] Helmut Segner,et al. Toward sustainable environmental quality: Priority research questions for Europe , 2018, Environmental toxicology and chemistry.
[38] R. Sibly,et al. An energy budget agent-based model of earthworm populations and its application to study the effects of pesticides , 2014, Ecological modelling.
[39] David A. Winkler,et al. Beware of R2: Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models , 2015, J. Chem. Inf. Model..
[40] Roman Ashauer,et al. How to Evaluate the Quality of Toxicokinetic—Toxicodynamic Models in the Context of Environmental Risk Assessment , 2018, Integrated environmental assessment and management.
[41] Roman Ashauer,et al. General unified threshold model of survival--a toxicokinetic-toxicodynamic framework for ecotoxicology. , 2011, Environmental science & technology.
[42] Thomas G Preuss,et al. Short-term to long-term extrapolation of lethal effects of an herbicide on the marine mysid shrimp Americamysis Bahia by use of the General Unified Threshold Model of Survival (GUTS). , 2019, Integrated environmental assessment and management.