Welcome to metapredict’s documentation!
Contents:
- Getting Started with metapredict
- metapredict from the command-line
- Using the original metapredict network
- Predicting disorder scores from fasta files
- Predicting IDRs from a fasta file
- Predicting disorder scores from sequence
- Predicting AlphaFold2 confidence scores from a fasta file
- Plotting disorder profiles from a fasta file
- Quick graphing of disorder scores
- Graphing disorder scores using UniProt ID
- Graphing disorder using the common name of a protein
- Graphing predicted AlphaFold2 pLDDT scores from a fasta file
- metapredict in Python
- Important updates
- Predicting Disorder
- Predicting AlphaFold2 Confidence Scores
- Predicting Disorder Domains:
- Calculating Percent Disorder:
- Graphing Disorder
- Graphing AlphaFold2 Confidence Scores
- Predicting Disorder From a .fasta File:
- Predicting AlphaFold2 confidence scores From a .fasta File
- Predict Disorder Using Uniprot ID
- Predicting AlphaFold2 Confidence Scores Using Uniprot ID
- Generating Disorder Graphs From a .fasta File:
- Generating AlphaFold2 Confidence Score Graphs from fasta files
- Generating Graphs Using UniProt ID
- Generating AlphaFold2 Confidence Score Graphs Using UniProt ID
- Predicting Disorder Domains using a Uniprot ID:
- Batch prediction of disorder scores or disordered domains
- Predicting Disorder Domains from external scores:
- Python Module Documentation
- Acknowledgements
- HELP! Metapredict isn’t working!
- Recent changes
- How to cite metapredict