{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/fodis-software-for-protein-unfolding-analysis","title":"Fodis: software for protein unfolding analysis","arxiv_id":"1803.11386","date":"2018-09-27","proceeding":null,"authors":[],"abstract":"The folding dynamics of proteins at the single molecule level has been\nstudied with single-molecule force spectroscopy (SMFS) experiments for twenty\nyears, but a common standardized method for the analysis of the collected data\nand for the sharing among the scientific community members is still not\navailable. We have developed a new open source tool, Fodis, for the analysis of\nthe Force-distance curves obtained in SMFS experiments, providing an almost\nautomatic processing, analysis and classification of the obtained data. Our\nmethod provides also a classification of the possible unfolding pathways and\nstructural heterogeneity, present during the unfolding of proteins.","url_abs":"http://arxiv.org/abs/1803.11386v2","url_pdf":"http://arxiv.org/pdf/1803.11386v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"fodis-software-for-protein-unfolding-analysis","repo_url":"https://github.com/nicolagalvanetto/Fodis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}