Generative Models
Explore SoTA Deep-Learning models for exploring novel chemical space
Capturing the complexity of novel chemical spaces requires advanced AI solutions to assist in generating diverse yet relevant molecular structures. Pending AI makes available a suite of pre-trained generative models, each designed with specific capabilities to address various drug discovery challenges.
Models can be fine-tuned to adapt to unique chemical subspaces, enhancing iteration speed for Hit Identification in early Drug Discovery. Contact us to learn more about custom model training and fine-tuning.
See here for more information on our Generative AI capability.
Retrieve a list of models. Key-based pagination is supported. See query parameters for more details on how to retrieve the next or previous page of results.
OAuth2 authentication.
Authenticate using the Pending AI authorization server through an implicit OAuth2 flow. You will be redirected to a Pending AI login page to authenticate and authorize access to your account. After authorization, you will be redirected back to the original application with an access token. Ensure that the application is registered with Pending AI and/or that the correct redirect URI is configured. Contact Pending AI support for more information if the application is not registered.
Bearer token authentication.
Provide a valid Pending AI authentication token. Generating tokens can be done manually through the Pending AI CLI. Ensure you have an existing account or register now.
pendingai auth login
pendingai auth token
Limit the number of resources returned within the data field of the paged response. The field may contain fewer items than the specified limit when there are not enough items to return.
5Example: 5A key used to navigate pagination results. The given value must match an id for the specific resource object type. If provided, the paged response will contain resources from the next 'page', or those that were submitted before the matched resource (reverse chronological order).
id_32RD0TWLolsAdFKufk3p4eE1ttK^\w+$A key used to navigate pagination results. The given value must match an id for the specific resource object type. If provided, the paged response will contain resources from the previous 'page', or those that were submitted after the matched resource (reverse chronological order).
id_32RD0TWLolsAdFKufk3p4eE1ttK^\w+$Returns a list of models.
Validation Error
Response Validation Error
GET /generator/v1/models HTTP/1.1
Host: api.pending.ai
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*
{
"data": [
{
"description": "Model Description.",
"id": "id_32RD0TWLolsAdFKufk3p4eE1ttK",
"metadata": {
"parameters": 124000000,
"training_time": "2d"
},
"name": "Model Name",
"object": "object",
"summary": {
"accuracy": 0.95,
"loss": 0.05,
"sampling_time": "100ms"
},
"version": "v1.0.0/beta"
}
],
"has_more": true,
"object": "list"
}Retrieves a model and a detailed overview of its different features. Model information can optionally include metadata and summary statistics with other identifiable fields.
OAuth2 authentication.
Authenticate using the Pending AI authorization server through an implicit OAuth2 flow. You will be redirected to a Pending AI login page to authenticate and authorize access to your account. After authorization, you will be redirected back to the original application with an access token. Ensure that the application is registered with Pending AI and/or that the correct redirect URI is configured. Contact Pending AI support for more information if the application is not registered.
Bearer token authentication.
Provide a valid Pending AI authentication token. Generating tokens can be done manually through the Pending AI CLI. Ensure you have an existing account or register now.
pendingai auth login
pendingai auth token
A unique identifier for a model resource.
mod_32RD0TWLolsAdFKufk3p4eE1ttKPattern: ^\w+$Returns the model.
Model resource not found.
Validation Error
Response Validation Error
GET /generator/v1/models/{model_id} HTTP/1.1
Host: api.pending.ai
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*
{
"description": "Model Description.",
"id": "id_32RD0TWLolsAdFKufk3p4eE1ttK",
"metadata": {
"parameters": 124000000,
"training_time": "2d"
},
"name": "Model Name",
"object": "object",
"summary": {
"accuracy": 0.95,
"loss": 0.05,
"sampling_time": "100ms"
},
"version": "v1.0.0/beta"
}Retrieve the status of a model. Sampling is made available by the Pending AI platform and may be affected by heavy traffic or resource constraints. Check the status of a model before sampling to ensure it is available.
OAuth2 authentication.
Authenticate using the Pending AI authorization server through an implicit OAuth2 flow. You will be redirected to a Pending AI login page to authenticate and authorize access to your account. After authorization, you will be redirected back to the original application with an access token. Ensure that the application is registered with Pending AI and/or that the correct redirect URI is configured. Contact Pending AI support for more information if the application is not registered.
Bearer token authentication.
Provide a valid Pending AI authentication token. Generating tokens can be done manually through the Pending AI CLI. Ensure you have an existing account or register now.
pendingai auth login
pendingai auth token
A unique identifier for a model resource.
mod_32RD0TWLolsAdFKufk3p4eE1ttKPattern: ^\w+$Returns the model status.
Model resource not found.
Validation Error
Response Validation Error
GET /generator/v1/models/{model_id}/status HTTP/1.1
Host: api.pending.ai
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*
{
"status": "online"
}Was this helpful?