FireProtDB: Database of Manually Curated Protein Stability Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138652" target="_blank" >RIV/00216305:26230/20:PU138652 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/21:00119185 RIV/00159816:_____/21:00075158

Result on the web

<a href="https://academic.oup.com/nar/article/49/D1/D319/5964070" target="_blank" >https://academic.oup.com/nar/article/49/D1/D319/5964070</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/nar/gkaa981" target="_blank" >10.1093/nar/gkaa981</a>

Result language

angličtina

Original language name

FireProtDB: Database of Manually Curated Protein Stability Data

Original language description

The majority of naturally occurring proteins have evolved to function under mild conditions inside the living organisms. One of the critical obstacles for the use of proteins in biotechnological applications is their insufficient stability at elevated temperatures or in the presence of salts. Since experimental screening for stabilizing mutations is typically laborious and expensive, in silico predictors are often used for narrowing down the mutational landscape. The recent advances in machine learning and artificial intelligence further facilitate the development of such computational tools. However, the accuracy of these predictors strongly depends on the quality and amount of data used for training and testing, which have often been reported as the current bottleneck of the approach. To address this problem, we present a novel database of experimental thermostability data for single-point mutants FireProtDB. The database combines the published datasets, data extracted manually from the recent literature, and the data collected in our laboratory. Its user interface is designed to facilitate both types of the expected use: (i) the interactive explorations of individual entries on the level of a protein or mutation and (ii) the construction of highly customized and machine learning-friendly datasets using advanced searching and filtering. The database is freely available at https://loschmidt.chemi.muni.cz/fireprotdb.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

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

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Name of the periodical

Nucleic Acids Research

ISSN

0305-1048

e-ISSN

1362-4962

Volume of the periodical

49

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

6

Pages from-to

319-324

UT code for WoS article

000608437800041

EID of the result in the Scopus database

2-s2.0-85099428147