STRUCTURAL IMPLICATIONS OF THE ICPEMC METHOD FOR QUANTIFYING GENOTOXICITY DATA

被引:4
|
作者
ROSENKRANZ, HS [1 ]
KLOPMAN, G [1 ]
机构
[1] CASE WESTERN RESERVE UNIV,DEPT CHEM,CLEVELAND,OH 44106
来源
MUTATION RESEARCH | 1994年 / 305卷 / 01期
关键词
ICPEMC METHOD; GENOTOXICITY DATA; QUANTIFYING; STRUCTURAL IMPLICATIONS; WEIGHT-OF-EVIDENCE SCHEME;
D O I
10.1016/0027-5107(94)90128-7
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Committee 1 of ICPEMC (International Commission for Protection against Environmental Mutagens and Carcinogens) devised a weight-of-evidence scheme for ranking chemicals with respect to their probability of inducing genetic effects. The score is based upon a hierarchical scheme which combines the results of many assays and assigns relative levels of relevance depending upon the phylogenic level of the assay, the nature of the genetic endpoint and the dose of chemical required. Analysis of the ICPEMC data base of quantitative genotoxicity scores by CASE and MULTICASE, two structure-activity relational expert systems, revealed that the ICPEMC quantitative classification ''made sense'' structurally, i.e. there was internal consistency with respect to the structural determinants associated with the qualitative as well as the quantitative classifications. Analysis of subsets of in vitro and in vivo genotoxicity results revealed that there was almost a complete overlap among the structural determinants associated with the qualitative classifications [i.e. likelihood of having a positive or negative score] of chemicals but that there were significant differences among the determinants related to the quantitative in vitro and in vivo scores (i.e. potency). Overall, the analyses suggest that there is a continuum in the structural bases of genetic effects which span phyla.
引用
收藏
页码:99 / 116
页数:18
相关论文
共 50 条
  • [21] Quantifying Implications of Deposit Aging from Crude Refinery Preheat Train Data
    Ishiyama, Edward Masato
    Falkeman, Erik
    Wilson, D. Ian
    Pugh, Simon John
    HEAT TRANSFER ENGINEERING, 2020, 41 (02) : 115 - 126
  • [22] EVALUATION OF THE GENOTOXICITY DATA ON CAFFEINE
    DAMBROSIO, SM
    REGULATORY TOXICOLOGY AND PHARMACOLOGY, 1994, 19 (03) : 243 - 281
  • [23] Aspartame: A review of genotoxicity data
    Kirkland, David
    Gatehouse, David
    FOOD AND CHEMICAL TOXICOLOGY, 2015, 84 : 161 - 168
  • [24] Method and analysis for the upscaling of structural data
    Carmichael, Thomas
    Ailleres, Laurent
    JOURNAL OF STRUCTURAL GEOLOGY, 2016, 83 : 121 - 133
  • [25] An alternative method to calculate cloud radiative forcing: Implications for quantifying cloud feedbacks
    Vavrus, S
    GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (01)
  • [26] Leveraging existing human performance data for quantifying the IDHEAS HRA method
    Liao, H.
    Groth, K.
    Stevens-Adams, S.
    Xing, J.
    SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, 2014, : 563 - 569
  • [27] Fractal Dimension: A Novel Method of Quantifying Vascular Structural Changes in Pulmonary Hypertension
    Moledina, Shahin
    de Bruyn, Annemijn
    Schievano, Silvia
    Haworth, Sheila G.
    Schulze-Neick, Ingram
    Taylor, Andrew M.
    Muthurangu, Vivek
    CIRCULATION, 2009, 120 (18) : S1177 - S1177
  • [28] sampbias, a method for quantifying geographic sampling biases in species distribution data
    Zizka, Alexander
    Antonelli, Alexandre
    Silvestro, Daniele
    ECOGRAPHY, 2021, 44 (01) : 25 - 32
  • [29] Quantifying technical efficiency of paratransit systems by data envelopment analysis method
    Fu, Liping
    Yang, Jingtao
    Casello, Jeff
    TRANSPORTATION RESEARCH RECORD, 2007, (2034) : 115 - 122
  • [30] A METHOD FOR COMPARING AND COMBINING SHORT-TERM GENOTOXICITY TEST DATA - RESULTS AND INTERPRETATION
    MENDELSOHN, ML
    MOORE, DH
    LOHMAN, PHM
    MUTATION RESEARCH, 1992, 266 (01): : 43 - 60