Datasets for "Deep learning-based design of synthetic orthologs of SH3 signaling domains"

Description of data for "Deep learning-based design of synthetic orthologs of SH3 signaling domains":biochemistry_data.zip --> contains the binding assay, melting temperature, and enthalpy measurements that reproduce table 1 in the main text.sequence_data.zip --> contains the sequences with relative enrichment measurements and other meta data information (e.g. latent embeddings, paralog labels, etc.).sequence_data.zip > SH3_Library_Natural.xlsx --> contains the natural alleles with normalized relative enrichment scores, paralog labels, mmd latent coordinates, and among other meta data.sequence_data.zip > SH3_Library_Design.xlsx --> contains the design alleles with normalized relative enrichment scores, mmd latent coordinates, and among other meta data.sequence_data.zip > paralog_mapping.xlsx --> contains the mapping between paralog name and COG labels.note: to access these spreadsheets for analysis, we recommend using pandas library in Python. To reproduce figures within the manuscript, please follow this github repo link: https://github.com/chemgeeklian/SH3_orthology_paper_analysis