CalFitter: a web server for analysis of protein thermal denaturation data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU140099" target="_blank" >RIV/00216305:26230/18:PU140099 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/18:00101753 RIV/00159816:_____/18:00069362

Výsledek na webu

<a href="https://academic.oup.com/nar/article/46/W1/W344/4995690" target="_blank" >https://academic.oup.com/nar/article/46/W1/W344/4995690</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/nar/gky358" target="_blank" >10.1093/nar/gky358</a>

Jazyk výsledku

angličtina

Název v původním jazyce

CalFitter: a web server for analysis of protein thermal denaturation data

Popis výsledku v původním jazyce

Despite significant advances in the understanding of protein structure-function relationships, revealing protein folding pathways still poses a challenge due to a limited number of relevant experimental tools. Widely-used experimental techniques, such as calorimetry or spectroscopy, critically depend on a proper data analysis. Currently, there are only separate data analysis tools available for each type of experiment with a limited model selection. To address this problem, we have developed the CalFitter web server to be a unified platform for comprehensive data fitting and analysis of protein thermal denaturation data. The server allows simultaneous global data fitting using any combination of input data types and offers twelve protein unfolding pathway models for selection, including irreversible transitions often missing from other tools. The data fitting produces optimal parameters, their confidence intervals, and statistical information to define unfolding pathways. The server provides an interactive and easy-to-use interface that allows users to directly analyse input datasets and simulate modelled output based on the model parameters. CalFitter web server is available free at https://loschmidt.chemi.muni.cz/calfitter/.

Název v anglickém jazyce

CalFitter: a web server for analysis of protein thermal denaturation data

Popis výsledku anglicky

Despite significant advances in the understanding of protein structure-function relationships, revealing protein folding pathways still poses a challenge due to a limited number of relevant experimental tools. Widely-used experimental techniques, such as calorimetry or spectroscopy, critically depend on a proper data analysis. Currently, there are only separate data analysis tools available for each type of experiment with a limited model selection. To address this problem, we have developed the CalFitter web server to be a unified platform for comprehensive data fitting and analysis of protein thermal denaturation data. The server allows simultaneous global data fitting using any combination of input data types and offers twelve protein unfolding pathway models for selection, including irreversible transitions often missing from other tools. The data fitting produces optimal parameters, their confidence intervals, and statistical information to define unfolding pathways. The server provides an interactive and easy-to-use interface that allows users to directly analyse input datasets and simulate modelled output based on the model parameters. CalFitter web server is available free at https://loschmidt.chemi.muni.cz/calfitter/.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

1362-4962

Svazek periodika

46

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

344-349

Kód UT WoS článku

000438374100055

EID výsledku v databázi Scopus

2-s2.0-85050893810