<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE QMRF SYSTEM "/WEB-INF/xslt/qmrf.dtd">
<QMRF author="European Chemicals Bureau" contact="Joint Research Centre, European Commission" date="July 2007" email="qsardb@jrc.it" name="(Q)SAR Model Reporting Format" schema_version="0.9" url="http://ecb.jrc.ec.europa.eu/qsar/" version="1.2">
<QMRF_chapters>
<QSAR_identifier chapter="1" help="" name="QSAR identifier">
<QSAR_title chapter="1.1" help="" name="QSAR identifier (title)">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    QSAR for acute toxicity to fathead minnow
  &lt;/body&gt;
&lt;/html&gt;
</QSAR_title>
<QSAR_models chapter="1.2" help="" name="Other related models">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</QSAR_models>
<QSAR_software chapter="1.3" help="" name="Software coding the model">






<software_ref idref="firstsoftware" catalog="software_catalog"/>
</QSAR_software>
</QSAR_identifier>
<QSAR_General_information chapter="2" help="" name="General information">
<qmrf_date chapter="2.1" help="" name="Date of QMRF">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    03.09.2009
  &lt;/body&gt;
&lt;/html&gt;
</qmrf_date>
<qmrf_authors chapter="2.2" help="" name="QMRF author(s) and contact details">


































































<author_ref idref="firstauthor" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_3" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_4" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_5" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_6" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_7" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_8" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_9" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_10" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_11" catalog="authors_catalog"/>
<author_ref idref="authors_catalog_13" catalog="authors_catalog"/>
</qmrf_authors>
<qmrf_date_revision chapter="2.3" help="" name="Date of QMRF update(s)">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</qmrf_date_revision>
<qmrf_revision chapter="2.4" help="" name="QMRF update(s)">&lt;html&gt;&#13;
  &lt;head&gt;&#13;
    &#13;
  &lt;/head&gt;&#13;
  &lt;body&gt;&#13;
  &lt;/body&gt;&#13;
&lt;/html&gt;&#13;
</qmrf_revision>
<model_authors chapter="2.5" help="" name="Model developer(s) and contact details">






<author_ref idref="modelauthor" catalog="authors_catalog"/>
</model_authors>
<model_date chapter="2.6" help="" name="Date of model development and/or publication">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    03.09.2009
  &lt;/body&gt;
&lt;/html&gt;
</model_date>
<references chapter="2.7" help="" name="Reference(s) to main scientific papers and/or software package">











<publication_ref idref="publications_catalog_2" number="" catalog="publications_catalog"/>
<publication_ref idref="publications_catalog_3" number="" catalog="publications_catalog"/>
</references>
<info_availability chapter="2.8" help="" name="Availability of information about the model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Model is proprietary, but the training and test sets are available. 
    Algorithm is available.
  &lt;/body&gt;
&lt;/html&gt;
</info_availability>
<related_models chapter="2.9" help="" name="Availability of another QMRF for exactly the same model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    None to date
  &lt;/body&gt;
&lt;/html&gt;
</related_models>
</QSAR_General_information>
<QSAR_Endpoint chapter="3" help="" name="Defining the endpoint - OECD Principle 1">
<model_species chapter="3.1" help="" name="Species">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Fathead Minnow
  &lt;/body&gt;
&lt;/html&gt;
</model_species>
<model_endpoint chapter="3.2" help="" name="Endpoint">





<endpoint_ref idref="endpoints_catalog_1" catalog="endpoints_catalog"/>
</model_endpoint>
<endpoint_comments chapter="3.3" help="" name="Comment on endpoint">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    EU test method C.1. Acute toxicity for fish (Fathead minnow)
  &lt;/body&gt;
&lt;/html&gt;
</endpoint_comments>
<endpoint_units chapter="3.4" help="" name="Endpoint units">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    mg/MolWeight
  &lt;/body&gt;
&lt;/html&gt;
</endpoint_units>
<endpoint_variable chapter="3.5" help="" name="Dependent variable">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    log(LC50) - logarithm of the median lethal concentration (LC50). The LC50 
    is the concentration that will kill 50% of the subjects after some 
    specified exposure time.
  &lt;/body&gt;
&lt;/html&gt;
</endpoint_variable>
<endpoint_protocol chapter="3.6" help="" name="Experimental protocol">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Acute toxicity to fish was determined using the EU Test Method C.1. The 
    acute toxicity for fish is a method for investigating the discernible 
    adverse effects induced in an organism within a short time (days) of 
    exposure to a substance. Acute toxicity is expressed as the median lethal 
    concentration (LC50), that is the concentration in water which kills 50% 
    of a test batch of fish within 96h. The concentrations of the test 
    substance are given in millimoles per litre (mmol/L). The EPA Fathead 
    Minnow Acute Toxicity database was generated by the U.S. EPA 
    Mid-Continental Ecology Division (MED) for the purpose of developing an 
    expert system to predict acute toxicity from chemical structure based on 
    mode of action considerations. Hence, an important and unusual 
    characteristic of this toxicity database is that the 617 tested industrial 
    organic chemicals were expressly chosen to serve as a useful training set 
    for development of predictive quantitative structure-activity 
    relationships (QSARs). A second valuable aspect of this database, from a 
    QSAR modeling perspective, is the inclusion of general mode-of-action 
    (MOA) classifications of acute toxicity response for individual chemicals 
    derived from study results. Each chemical was classified into one of eight 
    modes of action: base-line narcosis or narcosis I, polar narcosis or 
    narcosis II, ester narcosis or narcosis III, oxidative phosphorylation 
    uncoupling, respiratory inhibition, electrophile/proelectrophile 
    reactivity, AChE inhibition, or several mechanisms of CNS seizure 
    responses. A detailed description of the biological and chemical test 
    protocols used for these exposures has been published [Brooke LT et al. 
    (1984), Geiger DL et al. (1985)]. Briefly, all tests were conducted using 
    Lake Superior water at 25 &amp;#177; 10C. Aqueous toxicant concentrations were 
    measured in all tests with quality assurance criteria requiring 80% 
    agreement between duplicate samples and 90 to 110% spike recovery. 
    Flow-through exposures were conducted using cycling proportional, modified 
    Benoit, or electronic diluters. Tests conducted on the Benoit and 
    electronic diluters did not have replicate tank exposures. Median lethal 
    concentrations (LC50s) were calculated using the Trimmed Spearman&amp;#8211;Karber 
    Method, with 95% confidence intervals being calculated when possible. 
    Information can be obtained from the EPA Fathead Minnow Acute Toxicity 
    Database (1) and references (2-4) are listed in Section 9.
  &lt;/body&gt;
&lt;/html&gt;
</endpoint_protocol>
<endpoint_data_quality chapter="3.7" help="" name="Endpoint data quality and variability">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Statistics: max value: 2.96, min value: -6.38, standard deviation: 1.40, 
    skewness: -0.14
  &lt;/body&gt;
&lt;/html&gt;
</endpoint_data_quality>
</QSAR_Endpoint>
<QSAR_Algorithm chapter="4" help="" name="Defining the algorithm - OECD Principle 2">
<algorithm_type chapter="4.1" help="" name="Type of model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    QSAR 
  &lt;/body&gt;
&lt;/html&gt;
</algorithm_type>
<algorithm_explicit chapter="4.2" help="" name="Explicit algorithm">
<algorithm_ref idref="algorithms_catalog_1" catalog="algorithms_catalog"/>
<equation>&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Log(LC50) = 0.97 - 3.48*Average bond order (AM1) -0.32* Highest total 
    interaction (AM1) -2.21E-003* LPSA Low polarity (AM1) part of SASA -0.16* 
    count of H-acceptor sites (AM1) (all) -0.64* logP
  &lt;/body&gt;
&lt;/html&gt;
</equation>
</algorithm_explicit>
<algorithms_descriptors chapter="4.3" help="" name="Descriptors in the model">


























<descriptor_ref idref="descriptors_catalog_1" catalog="descriptors_catalog"/>
<descriptor_ref idref="descriptors_catalog_2" catalog="descriptors_catalog"/>
<descriptor_ref idref="descriptors_catalog_3" catalog="descriptors_catalog"/>
<descriptor_ref idref="descriptors_catalog_4" catalog="descriptors_catalog"/>
<descriptor_ref idref="descriptors_catalog_5" catalog="descriptors_catalog"/>
</algorithms_descriptors>
<descriptors_selection chapter="4.4" help="" name="Descriptor selection">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Initial pool of ~1000 descriptors. Stepwise descriptor selection based on 
    a set of statistical selection rules:
1-parameter equations: Fisher criterion and R&lt;sup&gt;2&lt;/sup&gt; over threshold, 
    variance and t-test value over threshold, intercorrelation with another 
    descriptor not over threshold;
2 parameter equations: intercorrelation coefficient bellow threshold, 
    significant correlation with endpoint in terms of correlation coefficient 
    and t-test.
Stepwise trial of additional descriptors not significantly correlated to any 
    already in the model.
  &lt;/body&gt;
&lt;/html&gt;
</descriptors_selection>
<descriptors_generation chapter="4.5" help="" name="Algorithm and descriptor generation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    1D, 2D, and 3D theoretical calculations quantum chemical descriptors 
    derived from MMFFs(vacuum) conformational search and AM1 calculation. 
    Model developed by using multilinear regression.
  &lt;/body&gt;
&lt;/html&gt;
</descriptors_generation>
<descriptors_generation_software chapter="4.6" help="" name="Software name and version for descriptor generation" options="">






<software_ref idref="software_catalog_2" catalog="software_catalog"/>
</descriptors_generation_software>
<descriptors_chemicals_ratio chapter="4.7" help="" name="Descriptors/Chemicals ratio">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    84.6 (423 chemicals / 5 descriptors)
  &lt;/body&gt;
&lt;/html&gt;
</descriptors_chemicals_ratio>
</QSAR_Algorithm>
<QSAR_Applicability_domain chapter="5" help="" name="Defining the applicability domain - OECD Principle 3">
<app_domain_description chapter="5.1" help="" name="Description of the applicability domain of the model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Applicability domain based on training set: 
By chemical identity: diverse set of organic compounds: amines, nitro 
    derivatives, nitriles, halogenated compounds, alcohols, phenols, organic 
    acids, aromatic compounds.
By descriptor value range: the model is suitable for compounds that have the 
    descriptors in the following range: Average bond order (AM1) (min: 0, max: 
    2.09), Highest total interaction(AM1)(min: -18.19, max: 0 ), LPSA Low 
    polarity (AM1) part of SASA (min: 0 , max: 713.28 ), count of H-acceptor 
    sites (AM1) (all)(min: 0 , max: 10 ), logP(min: -2.38 , max: 9.80).
  &lt;/body&gt;
&lt;/html&gt;
</app_domain_description>
<app_domain_method chapter="5.2" help="" name="Method used to assess the applicability domain">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    Presence of functional groups in structures. 
Range of descriptor values in training set with &amp;#177;30% confidence.
Descriptor values must fall between maximal and minimal descriptor values of 
    training set &amp;#177; 30%.
  &lt;/body&gt;
&lt;/html&gt;
</app_domain_method>
<app_domain_software chapter="5.3" help="" name="Software name and version for applicability domain assessment">






<software_ref idref="software_catalog_3" catalog="software_catalog"/>
</app_domain_software>
<applicability_limits chapter="5.4" help="" name="Limits of applicability">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</applicability_limits>
</QSAR_Applicability_domain>
<QSAR_Robustness chapter="6" help="" name="Internal validation - OECD Principle 4">
<training_set_availability answer="Yes" chapter="6.1" help="" name="Availability of the training set"/>
<training_set_data cas="Yes" chapter="6.2" chemname="Yes" formula="No" help="" inchi="No" mol="Yes" name="Available information for the training set" smiles="No"/>
<training_set_descriptors answer="All" chapter="6.3" help="" name="Data for each descriptor variable for the training set"/>
<dependent_var_availability answer="All" chapter="6.4" help="" name="Data for the dependent variable for the training set"/>
<other_info chapter="6.5" help="" name="Other information about the training set">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    423 data points: 312 negative values; 111 positive values
  &lt;/body&gt;
&lt;/html&gt;
</other_info>
<preprocessing chapter="6.6" help="" name="Pre-processing of data before modelling">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</preprocessing>
<goodness_of_fit chapter="6.7" help="" name="Statistics for goodness-of-fit">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    R&lt;sup&gt;2&lt;/sup&gt; = 0. 76 (Correlation coefficient);
s =   0.47 (Standard error of the estimate);
F = 269.30 (Fisher function);
  &lt;/body&gt;
&lt;/html&gt;
</goodness_of_fit>
<loo chapter="6.8" help="" name="Robustness - Statistics obtained by leave-one-out cross-validation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    R&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;cv&lt;/sub&gt; =   0.75 LOO;
  &lt;/body&gt;
&lt;/html&gt;
</loo>
<lmo chapter="6.9" help="" name="Robustness - Statistics obtained by leave-many-out cross-validation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    R&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;cv&lt;/sub&gt; = 0.76 LMO;
  &lt;/body&gt;
&lt;/html&gt;
</lmo>
<yscrambling chapter="6.10" help="" name="Robustness - Statistics obtained by Y-scrambling">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</yscrambling>
<bootstrap chapter="6.11" help="" name="Robustness - Statistics obtained by bootstrap">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</bootstrap>
<other_statistics chapter="6.12" help="" name="Robustness - Statistics obtained by other methods">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    ABC analysis (2:1 training : prediction) on sorted data divided into 3 
    subsets (A;B;C). .Training set formed with 2/3 of the compounds (set A+B, 
    A+C, B+C) and validation set consisted of 1/3 of the compounds (C, B, A) 
    average R&lt;sup&gt;2&lt;/sup&gt; (fitting) = 0.76 average R&lt;sup&gt;2&lt;/sup&gt; (prediction) 
    = 0.76
  &lt;/body&gt;
&lt;/html&gt;
</other_statistics>
</QSAR_Robustness>
<QSAR_Predictivity chapter="7" help="" name="External validation - OECD Principle 4">
<validation_set_availability answer="Yes" chapter="7.1" help="" name="Availability of the external validation set"/>
<validation_set_data cas="Yes" chapter="7.2" chemname="Yes" formula="No" help="" inchi="No" mol="Yes" name="Available information for the external validation set" smiles="No"/>
<validation_set_descriptors answer="All" chapter="7.3" help="" name="Data for each descriptor variable for the external validation set"/>
<validation_dependent_var_availability answer="All" chapter="7.4" help="" name="Data for the dependent variable for the external validation set"/>
<validation_other_info chapter="7.5" help="" name="Other information about the external validation set">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    46 data points: 34 negative values; 12 positive values
  &lt;/body&gt;
&lt;/html&gt;
</validation_other_info>
<experimental_design chapter="7.6" help="" name="Experimental design of test set">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    The full experimental dataset was sorted according to increasing values of 
    log(LC50) and each tenth compound was assigned to the test set.
  &lt;/body&gt;
&lt;/html&gt;
</experimental_design>
<validation_predictivity chapter="7.7" help="" name="Predictivity - Statistics obtained by external validation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    R&lt;sup&gt;2&lt;/sup&gt;= 0.70
  &lt;/body&gt;
&lt;/html&gt;
</validation_predictivity>
<validation_assessment chapter="7.8" help="" name="Predictivity - Assessment of the external validation set">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    The descriptors for the test set are in the limits of applicability domain.
  &lt;/body&gt;
&lt;/html&gt;
</validation_assessment>
<validation_comments chapter="7.9" help="" name="Comments on the external validation of the model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</validation_comments>
</QSAR_Predictivity>
<QSAR_Interpretation chapter="8" help="" name="Providing a mechanistic interpretation - OECD Principle 5">
<mechanistic_basis chapter="8.1" help="" name="Mechanistic basis of the model">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    The acute toxicity to Fathead Minnow increases with the solubility of the 
    compound in octanol (logP), this being a measure of the organic compound 
    penetration in the animal tissue. The acute toxicity to Fathead Minnow 
    also increases with increasing values of descriptor Count of H-acceptor 
    sites (AM1) (all). The presence of H acceptor sites makes possible the 
    binding of the molecule to the fish tissue and in this way increased 
    toxicity. The toxicity is further increased with the limited polarity of 
    the molecule (reflected by the descriptor LPSA Low polarity (AM1) part of 
    SASA). The increased unsaturation (reflected by descriptor Average bond 
    order (AM1)) and increased 2-center interaction (electrons and nuclei) in 
    the molecule (reflected by the descriptor Highest total interaction (AM1)) 
    have as result an increased acute toxicity.  
  &lt;/body&gt;
&lt;/html&gt;
</mechanistic_basis>
<mechanistic_basis_comments chapter="8.2" help="" name="A priori or a posteriori mechanistic interpretation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    A posteriori mechanistic interpretation
  &lt;/body&gt;
&lt;/html&gt;
</mechanistic_basis_comments>
<mechanistic_basis_info chapter="8.3" help="" name="Other information about the mechanistic interpretation">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
    The partition coefficient logP is the ratio of concentrations of a 
    compound in the two phases of a mixture of two miscible solvents at 
    equilibrium (usually water and octanol). 
The descriptor Count of H acceptor sites (AM1) is a measure of the ability of 
    the compound to form H bonds. 
The limited polarity of the molecule (LPSA Low polarity (AM1) part of SASA) is 
    an indication of mostly hydrophobic, but slightly polar compounds, and 
    increases the possibility of binding the molecule to the fish tissue. 
An increased unsaturation (Average bond order (AM1)) and an increased 2-center 
    interaction (Highest total interaction (AM1)), indicate strong (multiple) 
    bonds in the molecule, causing some reactivity, and as a result render the 
    molecule more toxic.
  &lt;/body&gt;
&lt;/html&gt;
</mechanistic_basis_info>
</QSAR_Interpretation>
<QSAR_Miscelaneous chapter="9" help="" name="Miscellaneous information">
<comments chapter="9.1" help="" name="Comments">&lt;html&gt;
  &lt;head&gt;
    
  &lt;/head&gt;
  &lt;body&gt;
  &lt;/body&gt;
&lt;/html&gt;
</comments>
<bibliography chapter="9.2" help="" name="Bibliography">













<publication_ref idref="publications_catalog_4" number="" catalog="publications_catalog"/>
<publication_ref idref="publications_catalog_5" number="" catalog="publications_catalog"/>
<publication_ref idref="publications_catalog_6" number="" catalog="publications_catalog"/>
<publication_ref idref="publications_catalog_7" number="" catalog="publications_catalog"/>
</bibliography>
<attachments chapter="9.3" name="Supporting information" help="">
<attachment_training_data>
<molecules description="Fathead_Minnow training 423" filetype="sdf" url="http://qsardb.jrc.it:80/qmrf/download_attachment.jsp?name=qmrf174_Fathead_Minnow training 423.sdf"/>
</attachment_training_data>
<attachment_validation_data>
<molecules description="Fathead_Minnow test 46" filetype="sdf" url="http://qsardb.jrc.it:80/qmrf/download_attachment.jsp?name=qmrf174_Fathead_Minnow test 46.sdf"/>
</attachment_validation_data>
</attachments>
</QSAR_Miscelaneous>
<QMRF_Summary chapter="10" help="" name="Summary (ECB Inventory)">
<QMRF_number chapter="10.1" help="" name="QMRF number"/>
<date_publication chapter="10.2" help="" name="Publication date"/>
<keywords chapter="10.3" name="Keywords" help=""> acute toxicity, fathead minnow, Molcode</keywords>
<summary_comments chapter="10.4" name="Comments" help=""/>
</QMRF_Summary>
</QMRF_chapters>
<Catalogs>
<software_catalog>
<software contact="Molcode Ltd., Turu 2, Tartu, 51014, Estonia" description="" id="firstsoftware" name="QSARModel 3.5.0" number="" url="http://www.molcode.com"/>
<software contact="Molcode Ltd, Turu 2, Tartu, 51014, Estonia" description="QSAR/QSPR package that will compute chemically meaningful descriptors and includes statistical tools for regression modeling" id="software_catalog_2" name="QSARModel 3.5.0" number="" url="http://www.molcode.com"/>
<software contact="Molcode Ltd, Turu 2, Tartu, 51014, Estonia" description="QSAR/QSPR package that will compute chemically meaningful descriptors and includes statistical tools for regression modeling" id="software_catalog_3" name="QSARModel 3.5.0" number="" url=" http://www.molcode.com"/>
</software_catalog>
<algorithms_catalog>
<algorithm definition="multilinear regression QSAR" description="" id="algorithms_catalog_1" publication_ref=""/>
</algorithms_catalog>
<descriptors_catalog>
<descriptor description="" id="descriptors_catalog_1" name="Average bond order (AM1)" publication_ref="" units=""/>
<descriptor description="" id="descriptors_catalog_2" name="Highest total interaction (AM1)" publication_ref="" units=""/>
<descriptor description="" id="descriptors_catalog_3" name="LPSA Low polarity (AM1) part of SASA" publication_ref="" units=""/>
<descriptor description="" id="descriptors_catalog_4" name="count of H-acceptor sites (AM1) (all)" publication_ref="" units=""/>
<descriptor description="" id="descriptors_catalog_5" name="logP" publication_ref="" units=""/>
</descriptors_catalog>
<endpoints_catalog>
<endpoint group="3.Ecotoxic effects" id="endpoints_catalog_1" name="3.3.Acute toxicity to fish (lethality)" subgroup="C.1. Acute toxicity for fish (Fathead minnow) "/>
</endpoints_catalog>
<publications_catalog>
<publication id="publications_catalog_2" title="Karelson M, Dobchev D, Tamm T, Tulp I, Jänes J, Tämm K, Lomaka A, Savchenko D, Karelson G (2008). Correlation of blood-brain penetration and human serum albumin binding with theoretical descriptors, ARKIVOC 16, 38-60." url=""/>
<publication id="publications_catalog_3" title="Karelson M, Karelson G,Tamm T, Tulp I, Jänes  J,Tämm  K, Lomaka  A, Savchenko D, Dobchev D (2009). QSAR study of pharmacological permeabilities, ARKIVOC 2, 218 - 238." url=""/>
<publication id="publications_catalog_4" title="EPAFHM: EPA Fathead Minnow Acute Toxicity Database" url="http://www.epa.gov/NCCT/dsstox/sdf_epafhm.html   "/>
<publication id="publications_catalog_5" title="Russom CL, Bradbury SP, Broderius SJ, Hammermeister DE &amp; Drummond RA (1997). Predicting modes of toxic action from chemical structure: acute toxicity in the Fathead Minnow (Pimephales Promelas). Environmental Toxicology and Chemistry 16 (5), 948–967." url=""/>
<publication id="publications_catalog_6" title="Brooke LT, Call DJ, Geiger DL and Northcott CE (1984). Acute Toxicities of Organic Chemicals to Fathead Minnows (Pimephales promelas), Vol. 1, Center for Lake Superior Environmental Studies, University of Wisconsin, Superior, WI, USA" url=""/>
<publication id="publications_catalog_7" title="Geiger DL, Northcott CE, Call DJ and Brooke LT (1985). Acute Toxicities of Organic Chemicals to Fathead Minnows (Pimephales promelas), Vol. 2., Center for Lake Superior Environmental Studies, University of Wisconsin, Superior, WI, USA.   " url=""/>
</publications_catalog>
<authors_catalog>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="firstauthor" name="Indrek Tulp" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia " email="models@molcode.com" id="modelauthor" name="Molcode model development team" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_3" name="Tarmo Tamm" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_4" name="Gunnar Karelson" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_5" name="Dimitar Dobchev" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_6" name="Dana Martin" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_7" name="Kaido Tämm" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_8" name="Deniss Savchenko" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_9" name="Jaak Jänes" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_10" name="Eneli Härk" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_11" name="Andres Kreegipuu" number="" url="http://www.molcode.com"/>
<author affiliation="Molcode Ltd. " contact="Turu 2, Tartu, 51014, Estonia" email="models@molcode.com" id="authors_catalog_13" name="Mati Karelson" number="" url="http://www.molcode.com"/>
</authors_catalog>
</Catalogs>
</QMRF>
<!--
	include_attachments
	Replaces <attachments/> in param.xml with attachments from database.
	expects:
	param.id - qmrf_documents.documents.idqmrf
	param.xml - the xml to be transformed
-->
<!--
	include_attachments
	Replaces <attachments/> in param.xml with attachments from database.
	expects:
	param.id - qmrf_documents.documents.idqmrf
	param.xml - the xml to be transformed
-->