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TmProt 1.0: A Web Server for Predicting Protein Melting Temperatures from Sequences*

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00143722" target="_blank" >RIV/00216224:14310/25:00143722 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    TmProt 1.0: A Web Server for Predicting Protein Melting Temperatures from Sequences*

  • Original language description

    Accurate prediction of protein melting temperature (Tm) is essential for understanding protein stability and guiding bioengineering efforts. We developed a transformer-based model tailored for Tm prediction, leveraging the large-scale Meltome Atlas dataset for initial training. Given that the Meltome Atlas provides only proxy Tm values due to its experimental design, we further refined our model using the BRENDA database, which reports experimentally validated Tm values. This two-stage approach enabled the transfer of knowledge from a broad but noisy dataset to a smaller, higher-quality dataset. We investigated two strategies for this transfer: (i) training a custom transformer model from scratch on low-quality data followed by fine-tuning with high-quality data, and (ii) adapting a pre-trained foundation model (ESM-2) using parameter-efficient fine-tuning via LoRA. Additionally, we compared these methods with an MLP model trained on ESM-2 embeddings. (popis)

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

  • 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/LM2023049" target="_blank" >LM2023049: Czech National Node of the European Clinical Research Infrastructures Network</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

    01_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