FireProt 2.1 – Prediction of Stabilising Mutations in Proteins using Machine Learning*
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00144181" target="_blank" >RIV/00216224:14310/25:00144181 - isvavai.cz</a>
Result on the web
<a href="https://loschmidt.chemi.muni.cz/fireprotweb/" target="_blank" >https://loschmidt.chemi.muni.cz/fireprotweb/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
FireProt 2.1 – Prediction of Stabilising Mutations in Proteins using Machine Learning*
Original language description
FireProt 2.1 provides a robust computational strategy for predicting highly stable multiple-point mutants. It combines energy- and evolution-based approaches with smart filtering to identify additive stabilizing mutations. FireProt integrates sixteen computational tools, utilizing both sequence and structural information. The web server provides users with a one-stop-shop solution for the design of thermostable proteins, designed by three strategies: (i) an evolution-based approach, utilizing a back-to-consensus analysis; (ii) an energy-based approach, using conservation, correlation, and energy; and (iii) a combined approach. Novel features of this version include AI models for the fast prediction of stabilizing and destabilizing residues. The integration of these modules provides unprecedented speed without compromising the accuracy of predictions.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TN02000109" target="_blank" >TN02000109: Personalised Medicine: From Translational Research into Biomedical Applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
U - Předmět řešení projektu je utajovanou skutečností podle zvláštních právních předpisů nebo je skutečností, jejíž zveřejnění by mohlo ohrozit činnost zpravodajské služby. Údaje o projektu jsou upraveny tak, aby byly zveřejnitelné
Data specific for result type
Internal product ID
02_2025_LL
Technical parameters
Doposud je využíváno interně k výzkumným účelům.
Economical parameters
V budoucnu je plánována nabídka potencionálním partnerům z komerční sféry.
Owner IČO
00216224
Owner name
Masarykova univerzita