SoluProtMutDB: A manually curated database of protein solubility changes upon mutations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU146770" target="_blank" >RIV/00216305:26230/22:PU146770 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/22:00130114 RIV/00159816:_____/22:00078809
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S2001037022005025?token=47A572AECBA6EE5C334462194E5EFC9034D184A71EC41EC7B29311B976C644C5FCFBB5B1B449E84DD1A99A04BCFA8708&originRegion=eu-west-1&originCreation=20230110080940" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S2001037022005025?token=47A572AECBA6EE5C334462194E5EFC9034D184A71EC41EC7B29311B976C644C5FCFBB5B1B449E84DD1A99A04BCFA8708&originRegion=eu-west-1&originCreation=20230110080940</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csbj.2022.11.009" target="_blank" >10.1016/j.csbj.2022.11.009</a>
Alternative languages
Result language
angličtina
Original language name
SoluProtMutDB: A manually curated database of protein solubility changes upon mutations
Original language description
Protein solubility is an attractive engineering target primarily due to its relation to yields in protein production and manufacturing. Moreover, better knowledge of the mutational effects on protein solubility could connect several serious human diseases with protein aggregation. However, we have limited understanding of the protein structural determinants of solubility, and the available data have mostly been scattered in the literature. Here, we present SoluProtMutDB the first database containing data on protein solubility changes upon mutations. Our database accommodates 33 000 measurements of 17 000 protein variants in 103 different proteins. The database can serve as an essential source of information for the researchers designing improved protein variants or those developing machine learning tools to predict the effects of mutations on solubility. The database comprises all the previously published solubility datasets and thousands of new data points from recent publications, including deep mutational scanning experiments. Moreover, it features many available experimental conditions known to affect protein solubility. The datasets have been manually curated with substantial corrections, improving suitability for machine learning applications. The database is available at loschmidt.chemi.muni.cz/soluprotmutdb.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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
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
Computational and Structural Biotechnology Journal
ISSN
2001-0370
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
1
Country of publishing house
SE - SWEDEN
Number of pages
9
Pages from-to
6339-6347
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85142188313