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CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F22%3A00077619" target="_blank" >RIV/00159816:_____/22:00077619 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26230/22:PU147244 RIV/00216224:14310/22:00126370

  • Result on the web

    <a href="https://academic.oup.com/nar/article/50/W1/W145/6586862?login=true" target="_blank" >https://academic.oup.com/nar/article/50/W1/W145/6586862?login=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/nar/gkac378" target="_blank" >10.1093/nar/gkac378</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability

  • Original language description

    The importance of the quantitative description of protein unfolding and aggregation for the rational design of stability or understanding the molecular basis of protein misfolding diseases is well established. Protein thermostability is typically assessed by calorimetric or spectroscopic techniques that monitor different complementary signals during unfolding. The CalFitter webserver has already proved integral to deriving invaluable energy parameters by global data analysis. Here, we introduce CalFitter 2.0, which newly incorporates singular value decomposition (SVD) of multi-wavelength spectral datasets into the global fitting pipeline. Processed time- or temperature-evolved SVD components can now be fitted together with other experimental data types. Moreover, deconvoluted basis spectra provide spectral fingerprints of relevant macrostates populated during unfolding, which greatly enriches the information gains of the CalFitter output. The SVD analysis is fully automated in a highly interactive module, providing access to the results to users without any prior knowledge of the underlying mathematics. Additionally, a novel data uploading wizard has been implemented to facilitate rapid and easy uploading of multiple datasets. Together, the newly introduced changes significantly improve the user experience, making this software a unique, robust, and interactive platform for the analysis of protein thermal denaturation data. The webserver is freely accessible at https://loschmidt.chemi.muni.cz/calfitter. [GRAPHICS] .

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Nucleic Acids Research

  • ISSN

    0305-1048

  • e-ISSN

    1362-4962

  • Volume of the periodical

    50

  • Issue of the periodical within the volume

    W1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    7

  • Pages from-to

    "W145"-"W151"

  • UT code for WoS article

    000796682400001

  • EID of the result in the Scopus database