Welcome to PeptideDigest!#
PeptideDigest is a Python package for interacting with a Gemma model from Google that has been customized to summarize and extract metadata from scientific publications related to computational peptide research. This package provides the following functionalities:
Summarize: Summarize the content of a scientific publication related to computational peptide research.
Extract: Extract metadata from a scientific publication related to computational peptide research.
Score: Score the relevance of a scientific publication related to computational peptide research.
Save: Save the model output to a SQLite database.
Learn how to install and use PeptideDigest to summarize scientific publications.
Explore the PeptideDigest API reference to find out more about the available modules and functions.
Want to add something? Contribute to the PeptideDigest project through GitHub.