CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability. Issue Volume 50:Issue W1(2022) (17th May 2022)
- Record Type:
- Journal Article
- Title:
- CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability. Issue Volume 50:Issue W1(2022) (17th May 2022)
- Main Title:
- CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability
- Authors:
- Kunka, Antonin
Lacko, David
Stourac, Jan
Damborsky, Jiri
Prokop, Zbynek
Mazurenko, Stanislav - Abstract:
- Abstract: 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 atAbstract: 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 . Graphical Abstract: … (more)
- Is Part Of:
- Nucleic acids research. Volume 50:Issue W1(2022)
- Journal:
- Nucleic acids research
- Issue:
- Volume 50:Issue W1(2022)
- Issue Display:
- Volume 50, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2022-0050-0001-0000
- Page Start:
- W145
- Page End:
- W151
- Publication Date:
- 2022-05-17
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gkac378 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22950.xml