Predicting protein stability and solubility changes upon mutations: data perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F20%3A00117450" target="_blank" >RIV/00216224:14310/20:00117450 - isvavai.cz</a>
Result on the web
<a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cctc.202000933" target="_blank" >https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/cctc.202000933</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cctc.202000933" target="_blank" >10.1002/cctc.202000933</a>
Alternative languages
Result language
angličtina
Original language name
Predicting protein stability and solubility changes upon mutations: data perspective
Original language description
Understanding mutational effects on protein stability and solubility is of particular importance for creating industrially relevant biocatalysts, resolving mechanisms of many human diseases, and producing efficient biopharmaceuticals, to name a few. Forin silicopredictions, the complexity of the underlying processes and increasing computational capabilities favor the use of machine learning. However, this approach requires sufficient training data of reasonable quality for making precise predictions. This minireview aims to summarize and scrutinize available mutational datasets commonly used for training predictors. We analyze their structure and discuss the possible directions of improvement in terms of data size, quality, and availability. We also present perspectives on the development of mutational data for accelerating the design of efficient predictors, introducing two new manually curated databases FireProt(DB)and SoluProtMut(DB)for protein stability and solubility, respectively.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10403 - Physical chemistry
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)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ChemCatChem
ISSN
1867-3880
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
22
Country of publishing house
DE - GERMANY
Number of pages
9
Pages from-to
5590-5598
UT code for WoS article
000565378700001
EID of the result in the Scopus database
2-s2.0-85090208505