Classifying Metal-Binding Sites with Neural Networks
- PNNL
A pre-trained convolutional neural network was fine-tuned for three separate classification tasks, distinguishing 2D images of: 1) single amino acids, 2) protein structural ball and stick images of metalloproteins, and 3) protein structural ball and stick images of metalloenzymes with the metal cofactors removed. Images used in the training, testing and validation are shared here.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1923007
- Country of Publication:
- United States
- Language:
- English
Similar Records
Classifying
metal‐binding
sites with neural networks
Journal Article
·
Thu Feb 23 23:00:00 EST 2023
· Protein Science
·
OSTI ID:1958634