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Some OCHEM models (e.g. models aggregated using Bagging method), require significant amount of calculations. |
Way 1: "Request until done"
To post predict a prediction task for a molecule, run the following request (as example):
https://ochem.eu/modelservice/getPrediction.do?modelId=YOUR_1&mol=c1ccccc1
It will predict mutagenicity of benzene (c1ccccc1 is MOLECULE) using the AMES model https://ochem.eu/model/1 (1 is MODEL_ID)
In general your request should have form https://ochem.eu/modelservice/getPrediction.do?modelId=MODEL_ID&mol=YOUR_MOLECULEModel id MOLECULE where MODEL_ID is the public model identifier or "model identity" (GUID) provided by OCHEM administration. If you plan to use predictions systematically, it is recommended to request a model identity (GUID).The molecule and MOLECULE is the analyzed molecule.
The MOLECULE can be in SMILES or SD format. For both the formats, multiple molecules can be posted using $$$$ separator.
It is much more efficient to predict molecules in batches rather than posting separate tasks for each molecule.
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Please, repeat the request at the periodic intervals (every 5-10 seconds) until the prediction result is returned in the following format:
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{ "taskId": "0", // Array of predictions (for each input molecule) "predictions": [{ "moleculeID": "1002136505", // Array of predictions for a given molecule. Normally, contains only one prediction. // Can contain multiple predictions for multi-models "predictions": [{ "unit": "-log(mmol/L)", // Name of the predicted class for classification models. Same as "value" for regression models. "predictedValueString": "2.713999986648559671", "value": "2.713999986648559671", // Prediction value (round it as you find necessary) "dm": "0.861100018024444686", // The "distance to model" used for the accuracy estimation "insideAD" : true, // is this molecule inside the model's applicability domain? "property": "log(IGC50-1)", // The predicted property "accuracy": "0.706520302834443670", // The prediction accuracy (RMSE) "realValue": "0.0" }], "depictionID": "1000651576" }], "metaserverTaskId": "0", "status": "success", "modelDescriptionUrl": "http://ochem.eu/model/3" } |
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{
"taskId": "0",
// Array of predictions (for each input molecule)
"predictions": [{
"moleculeID": "1002136505",
// Array of predictions for a given molecule. Normally, contains only one prediction.
// Can contain multiple predictions for multi-models
"predictions": [{
"unit": "-log(mmol/L)",
// Name of the predicted class for classification models. Same as "value" for regression models.
"predictedValueString": "2.713999986648559671",
"value": "2.713999986648559671", // Prediction value (round it as you find necessary)
"dm": "0.861100018024444686", // The "distance to model" used for the accuracy estimation
"property": "log(IGC50-1)", // The predicted property
"accuracy": "0.706520302834443670", // The prediction accuracy (RMSE)
"realValue": "0.0"
}],
"depictionID": "1000651576"
}],
"metaserverTaskId": "0",
"status": "success",
"modelDescriptionUrl": "http://ochem.eu/model/3"
} |