OMB Individually Reported
ModelAngelo
Low riskExact public inventory row
Description
Prediction of atomic models from CryoEM specimens.
Detailed example
Inputs are cryoEM imaging data and optionally amino acid sequence, outputs are atomic models.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This tool uses ML to build atomic models in cryoEM maps, with or without amino acid sequence input. This tool is utilized by the Cryo-EM core in support of research projects within NIEHS DIR and DTT laboratories.
Controls / human review
ATO: No; PIA: Not published
Data needed
Models were trained using publicly available data.