WEBVTT 1 00:00:01.920 --> 00:00:06.140 Welcome to the Integrated Chemical Environment, also known as ICE. 2 00:00:06.170 --> 00:00:08.080 This video will show you how to build 3 00:00:08.110 --> 00:00:14.300 a query in the ICE In Vitro to In Vivo Extrapolation or IVIVE tool. 4 00:00:14.330 --> 00:00:16.340 To run the IVIVE tool, 5 00:00:16.370 --> 00:00:20.540 you must specify both the chemicals and the in vitro assay data. 6 00:00:20.570 --> 00:00:22.900 Before we review those inputs, though, 7 00:00:22.920 --> 00:00:26.020 we're going to look at the modeling options. 8 00:00:26.050 --> 00:00:28.220 You will need to specify an in vitro 9 00:00:28.240 --> 00:00:34.420 endpoint species, type of pharmacokinetic model, and dosing parameters. 10 00:00:34.450 --> 00:00:38.060 Default settings are provided and are shown here. 11 00:00:38.090 --> 00:00:40.140 For the in vitro endpoint, 12 00:00:40.170 --> 00:00:44.620 you can choose between the default option, which is the half-maximal activity 13 00:00:44.650 --> 00:00:51.380 concentration, or AC50, or the activity concentration at cutoff, or ACC. 14 00:00:51.410 --> 00:00:54.540 You must choose a species to use for modeling. 15 00:00:54.570 --> 00:00:59.140 Currently, selections are limited to rat and human, with human as the default 16 00:00:59.170 --> 00:01:03.100 option. For certain pharmacokinetic parameters, 17 00:01:03.130 --> 00:01:05.180 if rat values are not available, 18 00:01:05.210 --> 00:01:10.570 human values are substituted with proper allometric scaling. 19 00:01:10.600 --> 00:01:16.100 Next, we select the source of the ADME data used in pharmacokinetic modeling. 20 00:01:16.130 --> 00:01:18.770 Specifically, these are the hepatocyte 21 00:01:18.800 --> 00:01:23.850 intrinsic clearance rate and fraction of chemical unbound in plasma. 22 00:01:23.880 --> 00:01:26.420 We have three options here: 23 00:01:26.450 --> 00:01:31.490 the Default option uses available experimentally measured values, 24 00:01:31.520 --> 00:01:37.290 with in silico predictions used when experimental data are not available. 25 00:01:37.320 --> 00:01:41.680 The second option, Measured, only uses experimentally measured 26 00:01:41.710 --> 00:01:45.490 values, which may result in fewer predictions. 27 00:01:45.520 --> 00:01:51.930 Lastly, the in silico option uses only in silico predictions as inputs. 28 00:01:51.960 --> 00:01:53.100 These are generated 29 00:01:53.130 --> 00:01:59.440 by the OPEn structure-activity/property Relationship App, or OPERA. 30 00:02:00.040 --> 00:02:03.040 The IVIVE tool allows you to select one 31 00:02:03.070 --> 00:02:07.570 of four pharmacokinetic models for calculating an EAD. 32 00:02:07.600 --> 00:02:10.580 These include: a one-compartment, 33 00:02:10.610 --> 00:02:17.540 population-based pharmacokinetic model, a three-compartment pharmacokinetic model, 34 00:02:17.570 --> 00:02:23.060 a multi-compartment PBPK model for oral and injection exposure routes, 35 00:02:23.090 --> 00:02:28.660 a multi compartment PBPK model for the inhalation exposure route. 36 00:02:28.690 --> 00:02:35.500 The three compartment and multi-compartment models are from the EPA's httk R package. 37 00:02:35.530 --> 00:02:38.610 The one-compartment model bases its EAD 38 00:02:38.640 --> 00:02:44.860 predictions on simulations of steady-state plasma concentration, or Css. 39 00:02:44.890 --> 00:02:49.740 The three-compartment and multi-compartment models based their EAD predictions 40 00:02:49.770 --> 00:02:55.480 on simulations of maximum plasma concentration, or Cmax. 41 00:02:56.920 --> 00:02:58.700 Depending on model type, 42 00:02:58.730 --> 00:03:01.060 you can specify parameters for the model 43 00:03:01.090 --> 00:03:07.500 like exposure route, exposure interval, exposure length, and simulation length. 44 00:03:07.530 --> 00:03:14.280 Additional model information can be found in the downloadable user guide. 45 00:03:15.440 --> 00:03:17.780 The input fields for chemicals 46 00:03:17.810 --> 00:03:23.220 and in vitro assay data are located below the modeling options. 47 00:03:23.250 --> 00:03:29.020 Select chemicals for your query in the "Chemical Input" field on the left. 48 00:03:29.050 --> 00:03:31.700 You can choose an ICE Chemical Quick List 49 00:03:31.730 --> 00:03:34.460 by clicking on the "Select Chemicals" button. 50 00:03:34.490 --> 00:03:42.240 For this example, we will choose the ER In Vitro Agonist Chemical Quick List. 51 00:03:43.560 --> 00:03:49.420 You can also enter chemical Identifiers in the user Chemical Identifier box. 52 00:03:49.450 --> 00:03:55.060 You can do this by typing in one or more individual chemical identifiers. 53 00:03:55.090 --> 00:04:02.380 For this example, we can type in "50-28-2", 54 00:04:02.410 --> 00:04:06.180 the CASRN for the chemical estradiol. 55 00:04:06.210 --> 00:04:10.610 You can also paste in a list of chemical identifiers. 56 00:04:10.640 --> 00:04:12.340 You can use any combination 57 00:04:12.370 --> 00:04:22.740 of the following identifiers, CASRNs, DTXSIDs, SMILES, and InChiKeys. 58 00:04:22.770 --> 00:04:25.420 An example of these identifiers is 59 00:04:25.450 --> 00:04:31.600 provided in the information box located in the Chemical Input field. 60 00:04:32.520 --> 00:04:36.980 Add in vitro data to your query by using the "Data Input" field 61 00:04:37.010 --> 00:04:39.820 to the right of the "Chemical Input" field. 62 00:04:39.840 --> 00:04:45.700 Select assays from the ICE database by clicking the "Select Assays" button. 63 00:04:45.720 --> 00:04:52.420 A dialog box will open showing two tabs: "cHTS" and "Mode of Action". 64 00:04:52.450 --> 00:04:55.780 Click on the "cHTS" tab to view 65 00:04:55.800 --> 00:05:00.220 high-throughput assays organized into mechanistic target categories. 66 00:05:00.250 --> 00:05:06.540 Click on the "Mode of Action" tab to view assays organized by mode of action. 67 00:05:06.570 --> 00:05:10.020 Use the check boxes to select the assay category of interest 68 00:05:10.040 --> 00:05:14.460 under either tab. Assay selection is limited to the curated 69 00:05:14.480 --> 00:05:20.460 ToxCast and Tox21, or cHTS data available in ICE. 70 00:05:20.480 --> 00:05:24.240 For this example, under the "cHTS" tab, we 71 00:05:24.270 --> 00:05:28.980 will choose the assay category "Endocrine-related Processes". 72 00:05:29.010 --> 00:05:32.340 When you are finished selecting assays, click on "Finished". 73 00:05:32.360 --> 00:05:37.920 The assay categories you have selected will be displayed in the text box. 74 00:05:39.160 --> 00:05:42.220 You can also add your own in vitro 75 00:05:42.250 --> 00:05:47.980 and in vivo assay data to your query. To the right of the "Data Input" field. 76 00:05:48.010 --> 00:05:52.820 The "Upload Custom Data" fields allow you to upload your own data. 77 00:05:52.850 --> 00:05:58.020 The upper custom data field allows you to upload in vivo data that can be 78 00:05:58.040 --> 00:06:02.740 displayed in the results view to compare to your model predictions. 79 00:06:02.770 --> 00:06:05.560 The lower custom data field allows you 80 00:06:05.590 --> 00:06:10.060 to upload in vitro data to be used as input for the model. 81 00:06:10.090 --> 00:06:12.740 Note that only chemicals with parameter 82 00:06:12.770 --> 00:06:17.260 values available in ICE will be used for modeling. 83 00:06:17.290 --> 00:06:20.140 To download a text or an Excel template 84 00:06:20.170 --> 00:06:22.820 file for getting your data ready for uploading, 85 00:06:22.850 --> 00:06:27.700 click on the green information button beside the field heading, 86 00:06:27.730 --> 00:06:30.180 and then click on the appropriate link 87 00:06:30.210 --> 00:06:35.300 to download the template file that will work best for your data. 88 00:06:35.330 --> 00:06:39.860 To upload your file, you can use the "Upload" button or drag 89 00:06:39.890 --> 00:06:44.140 and drop your input file from a file explorer window. 90 00:06:44.170 --> 00:06:46.480 The in vivo data will not be displayed 91 00:06:46.510 --> 00:06:50.780 in input view but can be viewed in the Results view graphs. 92 00:06:50.800 --> 00:06:55.860 Data from an in vitro data file will be displayed in the Chemical Input and Data 93 00:06:55.890 --> 00:07:01.340 input fields in Input view, and will also be visible 94 00:07:01.360 --> 00:07:06.220 in the Results view outputs. Now that you have built your 95 00:07:06.250 --> 00:07:10.820 IVIVE query, click on "Run" at the top of the page to run it. 96 00:07:10.850 --> 00:07:13.540 The query may take a few moments to run. 97 00:07:13.570 --> 00:07:19.400 We'll review the query results and how to interpret them in a separate video. 98 00:07:19.560 --> 00:07:25.340 Thank you for watching our video on how to build an IVIVE query in ICE. 99 00:07:25.360 --> 00:07:27.260 For more detailed information about 100 00:07:27.290 --> 00:07:30.720 the IVIVE tool, go to "Help" and select "User Guides".