Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability

Biowin3, the survey ultimate biodegradation model, Biowin5, the Ministry of International Trade and Industry (MITI) linear model, and Biowin6, the MITI nonlinear model, were used to predict the biodegradability of premanufacture notice substances and a set of pharmaceuticals. The test battery approa...

Full description

Saved in:
Bibliographic Details
Published in:Environmental toxicology and chemistry 2004-04, Vol.23 (4), p.911-911
Main Authors: Boethling, Robert S, Lynch, David G, Jaworska, Joanna S, Tunkel, Jay L, Thom, Gary C, Webb, Simon
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 911
container_issue 4
container_start_page 911
container_title Environmental toxicology and chemistry
container_volume 23
creator Boethling, Robert S
Lynch, David G
Jaworska, Joanna S
Tunkel, Jay L
Thom, Gary C
Webb, Simon
description Biowin3, the survey ultimate biodegradation model, Biowin5, the Ministry of International Trade and Industry (MITI) linear model, and Biowin6, the MITI nonlinear model, were used to predict the biodegradability of premanufacture notice substances and a set of pharmaceuticals. The test battery approaches were explored by applying Bayes' theorem to calculate joint posterior probabilities of readily biodegradable/non-readily biodegradable. Performance statistics were calculated for the model being considered and then combined with prior probability in Bayes' formula to generate posterior probabilities. Results showed that the Biowin models provided good accuracy in predicting ready biodegradability. Two-model batteries consisting of Biowin3 and Biowin5 or 6 exhibited enhanced predictive power compared to the individual models.
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_14698083</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>14698083</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_146980833</originalsourceid><addsrcrecordid>eNqNi70KwjAYADMoWH_eIZMotJBaaZu1orgoInUusfkskZjUfCnSt1fBB3C6G-4GJGBZwqJsleYjMka8MxannPOAHC-oTEMLZV_KUOxacIvysAxpIXrAkAojP-o9OAVIvaUnB1LVnp5ByP77SWickOKqtPL9lAxvQiPMfpyQ-W5bbvZR6-yzA_TVQ2ENWgsDtsMqXqc8Z3mS_B2-AV8oP9E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>14698083</pqid></control><display><type>article</type><title>Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Boethling, Robert S ; Lynch, David G ; Jaworska, Joanna S ; Tunkel, Jay L ; Thom, Gary C ; Webb, Simon</creator><creatorcontrib>Boethling, Robert S ; Lynch, David G ; Jaworska, Joanna S ; Tunkel, Jay L ; Thom, Gary C ; Webb, Simon</creatorcontrib><description>Biowin3, the survey ultimate biodegradation model, Biowin5, the Ministry of International Trade and Industry (MITI) linear model, and Biowin6, the MITI nonlinear model, were used to predict the biodegradability of premanufacture notice substances and a set of pharmaceuticals. The test battery approaches were explored by applying Bayes' theorem to calculate joint posterior probabilities of readily biodegradable/non-readily biodegradable. Performance statistics were calculated for the model being considered and then combined with prior probability in Bayes' formula to generate posterior probabilities. Results showed that the Biowin models provided good accuracy in predicting ready biodegradability. Two-model batteries consisting of Biowin3 and Biowin5 or 6 exhibited enhanced predictive power compared to the individual models.</description><identifier>ISSN: 0730-7268</identifier><language>eng</language><ispartof>Environmental toxicology and chemistry, 2004-04, Vol.23 (4), p.911-911</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781</link.rule.ids></links><search><creatorcontrib>Boethling, Robert S</creatorcontrib><creatorcontrib>Lynch, David G</creatorcontrib><creatorcontrib>Jaworska, Joanna S</creatorcontrib><creatorcontrib>Tunkel, Jay L</creatorcontrib><creatorcontrib>Thom, Gary C</creatorcontrib><creatorcontrib>Webb, Simon</creatorcontrib><title>Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability</title><title>Environmental toxicology and chemistry</title><description>Biowin3, the survey ultimate biodegradation model, Biowin5, the Ministry of International Trade and Industry (MITI) linear model, and Biowin6, the MITI nonlinear model, were used to predict the biodegradability of premanufacture notice substances and a set of pharmaceuticals. The test battery approaches were explored by applying Bayes' theorem to calculate joint posterior probabilities of readily biodegradable/non-readily biodegradable. Performance statistics were calculated for the model being considered and then combined with prior probability in Bayes' formula to generate posterior probabilities. Results showed that the Biowin models provided good accuracy in predicting ready biodegradability. Two-model batteries consisting of Biowin3 and Biowin5 or 6 exhibited enhanced predictive power compared to the individual models.</description><issn>0730-7268</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqNi70KwjAYADMoWH_eIZMotJBaaZu1orgoInUusfkskZjUfCnSt1fBB3C6G-4GJGBZwqJsleYjMka8MxannPOAHC-oTEMLZV_KUOxacIvysAxpIXrAkAojP-o9OAVIvaUnB1LVnp5ByP77SWickOKqtPL9lAxvQiPMfpyQ-W5bbvZR6-yzA_TVQ2ENWgsDtsMqXqc8Z3mS_B2-AV8oP9E</recordid><startdate>20040401</startdate><enddate>20040401</enddate><creator>Boethling, Robert S</creator><creator>Lynch, David G</creator><creator>Jaworska, Joanna S</creator><creator>Tunkel, Jay L</creator><creator>Thom, Gary C</creator><creator>Webb, Simon</creator><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20040401</creationdate><title>Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability</title><author>Boethling, Robert S ; Lynch, David G ; Jaworska, Joanna S ; Tunkel, Jay L ; Thom, Gary C ; Webb, Simon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_146980833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boethling, Robert S</creatorcontrib><creatorcontrib>Lynch, David G</creatorcontrib><creatorcontrib>Jaworska, Joanna S</creatorcontrib><creatorcontrib>Tunkel, Jay L</creatorcontrib><creatorcontrib>Thom, Gary C</creatorcontrib><creatorcontrib>Webb, Simon</creatorcontrib><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Environmental toxicology and chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boethling, Robert S</au><au>Lynch, David G</au><au>Jaworska, Joanna S</au><au>Tunkel, Jay L</au><au>Thom, Gary C</au><au>Webb, Simon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability</atitle><jtitle>Environmental toxicology and chemistry</jtitle><date>2004-04-01</date><risdate>2004</risdate><volume>23</volume><issue>4</issue><spage>911</spage><epage>911</epage><pages>911-911</pages><issn>0730-7268</issn><abstract>Biowin3, the survey ultimate biodegradation model, Biowin5, the Ministry of International Trade and Industry (MITI) linear model, and Biowin6, the MITI nonlinear model, were used to predict the biodegradability of premanufacture notice substances and a set of pharmaceuticals. The test battery approaches were explored by applying Bayes' theorem to calculate joint posterior probabilities of readily biodegradable/non-readily biodegradable. Performance statistics were calculated for the model being considered and then combined with prior probability in Bayes' formula to generate posterior probabilities. Results showed that the Biowin models provided good accuracy in predicting ready biodegradability. Two-model batteries consisting of Biowin3 and Biowin5 or 6 exhibited enhanced predictive power compared to the individual models.</abstract></addata></record>
fulltext fulltext
identifier ISSN: 0730-7268
ispartof Environmental toxicology and chemistry, 2004-04, Vol.23 (4), p.911-911
issn 0730-7268
language eng
recordid cdi_proquest_miscellaneous_14698083
source Wiley-Blackwell Read & Publish Collection
title Using Biowin super(TM), Bayes, and Batteries to Predict Ready Biodegradability
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T04%3A44%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Biowin%20super(TM),%20Bayes,%20and%20Batteries%20to%20Predict%20Ready%20Biodegradability&rft.jtitle=Environmental%20toxicology%20and%20chemistry&rft.au=Boethling,%20Robert%20S&rft.date=2004-04-01&rft.volume=23&rft.issue=4&rft.spage=911&rft.epage=911&rft.pages=911-911&rft.issn=0730-7268&rft_id=info:doi/&rft_dat=%3Cproquest%3E14698083%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_miscellaneous_146980833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=14698083&rft_id=info:pmid/&rfr_iscdi=true