Simulation of the Long-Term Toxicity Towards Bobwhite Quail (Colinus virginianus) by the Monte Carlo Method

被引：1
|
作者：
Iovine, Nadia [1 ]
Toropova, Alla P. [1 ]
Toropov, Andrey A. [1 ]
Roncaglioni, Alessandra [1 ]
Benfenati, Emilio [1 ]
机构：
[1] Ist Ric Farmacolog Mario Negri IRCCS, Dept Environm, Hlth Sci, Via Mario Negri 2, I-20156 Milan, Italy
来源：
JOURNAL OF XENOBIOTICS | 2025年 / 15卷 / 01期
关键词：
QSAR; NOEL; NOEC; Bobwhite quail; Monte Carlo method; CORAL software; QSAR; PESTICIDES; PREDICTION; BIRDS; MODEL;
D O I：
10.3390/jox15010003
中图分类号：
R99 [毒物学（毒理学）];
学科分类号：
100405 ;
摘要：
In this study, models for NOEL (No Observed Effect Level) and NOEC (No Observed Effect Concentration) related to long-term/reproduction toxicity of various organic pesticides are built up, evaluated, and compared with similar models proposed in the literature. The data have been obtained from the EFSA OpenFoodTox database, collecting only data for the Bobwhite quail (Colinus virginianus). Models have been developed using the CORAL-2023 program, which can be used to develop quantitative structure-property/activity relationships (QSPRs/QSARs) and the Monte Carlo method for the optimization of the model. The software provided a model which may be considered useful for the practice. The determination coefficient of the best models for the external validation set was 0.665.
引用
收藏
页数：15
相关论文
共 13 条
  • [1] Fipronil toxicity in northern bobwhite quail Colinus virginianus: Reduced feeding behaviour and sulfone metabolite formation
    Kitulagodage, Malsha
    Isanhart, John
    Buttemer, William A.
    Hooper, Michael J.
    Astheimer, Lee B.
    CHEMOSPHERE, 2011, 83 (04) : 524 - 530
  • [2] Improved building up a model of toxicity towards Pimephales promelas by the Monte Carlo method
    Toropova, Alla P.
    Toropov, Andrey A.
    Raskova, Maria
    Raska, Ivan
    ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY, 2016, 48 : 278 - 285
  • [3] Long-term probability of drought characteristics based on Monte Carlo simulation approach
    Montaseri, Majid
    Amirataee, Babak
    Yasi, Mehdi
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (01) : 544 - 557
  • [4] Short- versus long-term tests of indoor radon for risk assessment by Monte-Carlo method towards effective measurement strategy
    Tsapalov, Andrey
    Kovler, Konstantin
    INDOOR AIR, 2022, 32 (11)
  • [5] Long-term renewable energy technology valuation using system dynamics and Monte Carlo simulation: Photovoltaic technology case
    Jeon, Chanwoong
    Shin, Juneseuk
    ENERGY, 2014, 66 : 447 - 457
  • [6] Investigations of the long-term extreme buffeting response of long-span bridges using importance sampling Monte Carlo simulations
    Castellon, Dario Fernandez
    Fenerci, Aksel
    Oiseth, Ole
    Petersen, Oyvind Wiig
    ENGINEERING STRUCTURES, 2022, 273
  • [7] Option values of quantity flexibility in nuclear fuel long-term contracts: an application of the least squares Monte Carlo
    Park, Hojeong
    Jang, Heesun
    GEOSYSTEM ENGINEERING, 2020, 23 (02) : 86 - 91
  • [8] Optimal integrated sizing and operation of a CHP system with Monte Carlo risk analysis for long-term uncertainty in energy demands
    Urbanucci, Luca
    Testi, Daniele
    ENERGY CONVERSION AND MANAGEMENT, 2018, 157 : 307 - 316
  • [9] A study of long-term toxicity of multiple mixtures with hormetic effects by the characteristic parameter σ(k•ECx)2 and stepwise method
    Wang, Na
    Sun, Jiajing
    Ma, Xiaoyan
    Yang, Xinyue
    Wang, Xiaochang
    Zhang, Yujiao
    Zhou, Jinhong
    Wang, Jiaxuan
    Ge, Chengmin
    ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY, 2023, 100
  • [10] Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach
    Antunes, Jorge
    Aye, Goodness C.
    Gupta, Rangan
    Wanke, Peter
    Tan, Yong
    INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2024, 32 (01) : 53 - 83
12