{
 "id": "RosettaCommons/FireProtDB2",
 "owner": "RosettaCommons",
 "name": "FireProtDB2",
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 "last_modified": "2026-03-19T02:57:39.000Z",
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 "citation": "@article{10.1093/nar/gkaf1211,\n    author = {Musil, Milos and Borko, Simeon and Planas-Iglesias, Joan and Lacko, David and Rosinska, Monika and Kabourek, Petr and Martins, Lígia O and Tataruch, Mateusz and Damborsky, Jiri and Mazurenko, Stanislav and Bednar, David},\n    title = {FireProtDB 2.0: large-scale manually curated database of the protein stability data},\n    journal = {Nucleic Acids Research},\n    volume = {54},\n    number = {D1},\n    pages = {D409-D418},\n    year = {2025},\n    month = {11},\n    abstract = {Thermostable proteins are crucial in numerous biomedical and biotechnological applications. However, naturally occurring proteins have evolved to function in mild conditions, and laboratory experiments aiming at improving protein stability have proven laborious and expensive. Computational methods overcome this issue by providing a cheap and scalable alternative. Despite significant progress, their reliability is still hindered by the availability of high-quality data. FireProtDB 2.0 (http://loschmidt.chemi.muni.cz/fireprotdb) is a large-scale database aggregating stability data from multiple sources. The second version builds upon its predecessor, retaining its original functionality while introducing a new approach to data storage and maintenance. The new scheme enables the introduction of both absolute and relative data types connected with measurements of wild-types, mutants, protein domains, and de novo designed proteins. Furthermore, while the original datab",
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