{"id":"doi:10.1093/bib/bbab558","kind":"article","title":"Learning spatial structures of proteins improves protein–protein interaction prediction","authors":["Bosheng Song","Xiaoyan Luo","Xiaoli Luo","Yuansheng Liu","Zhangming Niu","Xiangxiang Zeng"],"author_count":6,"year":2021,"published":"2021-12-09","venue":"Briefings in Bioinformatics","cited_by":135,"doi":"10.1093/bib/bbab558","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1093/bib/bbab558","archive_url":"https://space-kitty.com/papers/doi:10.1093/bib/bbab558","updated":null,"pmid":"35018418","pmcid":null,"openalex_id":"W4205177317","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Machine Learning in Bioinformatics"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"protein-design","name":"AI Protein Design & Structure Prediction","domain_slug":"biotech"}],"cited_in_dossiers":[]}