29 Development of (Q)SARs for Dermal Irritation and Corrosion Assessment Using European Union New Chemicals Notification Data

Author QueriesBOOK: ROBERTSCHAPTER NUMBER: 29Q1 Reference ’Environmental Health Perspectives (2003)’ has been cited in text but notprovided in the list. Please supply reference details or delete the reference citationfrom the text.Q2 Author comment: Please remove first ‘e’ (may be crossed e in correction mode notvisible).Q3 May be I would prefer to put the third column to the right of the “Risk phrases”column(s). Same for the other tables.Q4 So there is no bromine or Iodine present in these six “exceptions”?.Q5 As it was this section sounded as if generally insufficient data were available for l.s.which somehow would have invalidated Table 4.Q6 Also, minor impurities (!5%) that are very volatile can have a very pronounce effecton the vapour pressure of the whole substance.Q7 Think we cannot give such exact figures for all future New Chemicals (or to quoteDonisDay“...thefuture’snotourstosee...”thereforeisuggesttouseamoretentativewording.Q8 Please check the edit of the sentence.Q9 Please update the reference 9.

[1]  J D Walker Chemical selection by the Interagency Testing Committee: use of computerized substructure searching to identify chemical groups for health effects, chemical fate and ecological effects testing. , 1991, The Science of the total environment.

[2]  Russell O. Potts,et al.  Predicting Skin Permeability , 1992, Pharmaceutical Research.

[3]  Michael Balls,et al.  A Prevalidation Study on In Vitro Skin Corrosivity Testing , 1995 .

[4]  I Gerner,et al.  Development of a Decision Support System for the Introduction of Alternative Methods into Local Irritancy/Corrosivity Testing Strategies. Creation of Fundamental Rules for a Decision Support System , 2000, Alternatives to laboratory animals : ATLA.

[5]  I Gerner,et al.  Development of a Decision Support System for the Introduction of Alternative Methods into Local Irritancy/Corrosivity Testing Strategies. Development of a Relational Database , 2000, Alternatives to laboratory animals : ATLA.

[6]  M. Barratt Appendix A: Quantitative Structure-activity Relationships for Skin Corrosivity , 1995 .

[7]  L. Birnbaum,et al.  Estimation of Octanol-Water Partition Coefficients and Correlation with Dermal Absorption for Several Polyhalogenated Aromatic Hydrocarbons, , 1993 .

[8]  Manuela Pavan,et al.  The Characterisation of (Quantitative) Structure-Activity Relationships: Preliminary Guidance , 2005 .

[9]  John D. Walker,et al.  Use of Physicochemical Property Limits to Develop Rules for Identifying Chemical Substances with no Skin Irritation or Corrosion Potential , 2004 .

[10]  John D. Walker,et al.  (Q)SARs for predicting skin irritation and corrosion: Mechanisms, transparency and applicability of predictions , 2004 .

[11]  M. Roberts,et al.  THE RELATIONSHIP BETWEEN STRUCTURE AND BARRIER FUNCTION OF SKIN , 1998 .

[12]  John D. Walker,et al.  The Skin Irritation Corrosion Rules Estimation Tool (SICRET) , 2005 .

[13]  John D. Walker,et al.  Use of structural alerts to develop rules for identifying chemical substances with skin irritation or skin corrosion potential , 2005 .

[14]  David W Roberts,et al.  Mechanistic applicability domains for nonanimal-based prediction of toxicological end points: general principles and application to reactive toxicity. , 2006, Chemical research in toxicology.