{"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/the-strength-of-protein-protein-interactions","title":"The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks","arxiv_id":"1811.05371","date":"2018-11-23","proceeding":null,"authors":[],"abstract":"Eukaryotic cells transmit information by signaling through complex networks\nof interacting proteins. Here we develop a theoretical and computational\nframework that relates the biophysics of protein-protein interactions (PPIs)\nwithin a signaling network to its information processing properties. To do so,\nwe generalize statistical physics-inspired models for protein binding to\naccount for interactions that depend on post-translational state (e.g.\nphosphorylation). By combining these models with information-theoretic methods,\nwe find that PPIs are a key determinant of information transmission within a\nsignaling network, with weak interactions giving rise to \"noise\" that\ndiminishes information transmission. While noise can be mitigated by increasing\ninteraction strength, the accompanying increase in transmission comes at the\nexpense of a slower dynamical response. This suggests that the biophysics of\nsignaling protein interactions give rise to a fundamental \"speed-information\"\ntrade-off. Surprisingly, we find that cross-talk between pathways in complex\nsignaling networks do not significantly alter information capacity--an\nobservation that may partially explain the promiscuity and ubiquity of weak\nPPIs in heavily interconnected networks. We conclude by showing how our\nframework can be used to design synthetic biochemical networks that maximize\ninformation transmission, a procedure we dub \"InfoMax\" design.","url_abs":"http://arxiv.org/abs/1811.05371v2","url_pdf":"http://arxiv.org/pdf/1811.05371v2.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":"the-strength-of-protein-protein-interactions","repo_url":"https://github.com/chinghao0703/InfomaxDesign","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}