Open data
|
Deployed on AWS
FLAb is the largest publicly available therapeutic antibody dataset designed to train and benchmark protein AI models. It provides open-access, high-quality developability data on diverse therapeutic properties, including expression, thermostability, immunogenicity, aggregation, polyreactivity, binding affinity, and pharmacokinetics.
Overview
FLAb is the largest publicly available therapeutic antibody dataset designed to train and benchmark protein AI models. It provides open-access, high-quality developability data on diverse therapeutic properties, including expression, thermostability, immunogenicity, aggregation, polyreactivity, binding affinity, and pharmacokinetics.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Antibody developabiltiy data in CSV format
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::graylab-flab
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://graylab-flab/
Resources
Vendor resources
Support
Contact
How to cite
FLAb: Fitness Landscapes for Antibodies was accessed on DATE from https://registry.opendata.aws/flab .
Similar products
ProteinGym is a benchmark suite for assessing the performance of protein fitness prediction and design models. It comprises a large curated collection of 200+ high-throughput experimental assays (~3M mutated sequences), as well as clinical annotations from experts about the pathogenicity of mutants in over 3k human genes.
By bCloud LLC
This product has charges associated with it for seller support. FLAML is an open-source AutoML library developed by Microsoft that automatically selects the best machine learning model and tunes its hyperparameters with minimal human effort. It is designed to be fast, lightweight, and cost-efficient, making it suitable for real-world applications with limited computational resources. FLAML supports classification, regression, and time-series forecasting tasks and can work with libraries like scikit-learn, LightGBM, XGBoost, and others.
This product has charges associated with it for seller support. FLAML is an open-source, lightweight AutoML framework that enables fast and cost-efficient machine learning model selection, hyperparameter optimization, and automated workflows for classification, regression, time-series forecasting, and large language model applications.
Utilize AI algorithms to predict and design protein structures, accelerating drug discovery and development processes in biotechnology and pharmaceutical research