FireProtDB
Names
More detailed information about this field from each metasource.
FireProtDB
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
fireprotdb
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
Names
More detailed information about this field from each metasource.
FireProtDB
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
fireprotdb
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
Names
More detailed information about this field from each metasource.
FireProtDB
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
fireprotdb
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
Description
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Protein stability data
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
FireProtDB is a comprehensive, manually curated database of the protein stability data for single-point mutants. Proteins find their use in numerous biomedical and biotechnological applications. Naturally occurring proteins usually cannot withstand harsh industrial environments since they have evolved to function under mild conditions. Increasing protein stability is one of the key determinants of protein applicability. The predictive power of the current computational tools is compromised by the limited experimental data that would allow a rigorous training and testing.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
Webpage:
https://loschmidt.chemi.muni.cz/fireprotdbWebpage
More detailed information about this field from each metasource.
https://loschmidt.chemi.muni.cz/fireprotdb
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
Licence:
Name: ProprietaryLicence name
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Publications:
Publications
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FireProtDB: database of manually curated protein stability data
PMID: 33166383
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
https://doi.org/10.1093/nar/gkaa981
metasource: Nucleic Acid Research database catalogue
version: extracted_at: 2022-11-04T11:16:25.468657
Publications
More detailed information about this field from each metasource.
FireProtDB: database of manually curated protein stability data
PMID: 33166383
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
https://doi.org/10.1093/nar/gkaa981
metasource: Nucleic Acid Research database catalogueversion: extracted_at: 2022-11-04T11:16:25.468657
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FireProtDB: database of manually curated protein stability data
PubMed citations: 4.
4 articles citing: FireProtDB: database of manually curated protein stability data
Critical assessment of structure-based approaches to improve protein resistance in aqueous ionic liquids by enzyme-wide saturation mutagenesis. PMID:35070165
PDBe-KB: collaboratively defining the biological context of structural data. PMID:34755867
Reviewing Challenges of Predicting Protein Melting Temperature Change Upon Mutation Through the Full Analysis of a Highly Detailed Dataset with High-Resolution Structures. PMID:34101125
The 2021 Nucleic Acids Research database issue and the online molecular biology database collection. PMID:33396976 - https://doi.org/10.1093/nar/gkaa981
Tags:
Tags
More detailed information about this field from each metasource.
machine learning
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
protein folding, stability and design
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
genetic variation
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
data submission, annotation and curation
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
model organisms
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
proteins
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
literature and language
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:05.092835
Tags
More detailed information about this field from each metasource.
machine learning
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
protein folding, stability and design
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
genetic variation
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
data submission, annotation and curation
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
model organisms
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
proteins
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
literature and language
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:05.092835
protein folding, stability and design genetic variation data submission, annotation and curation model organisms proteins literature and language
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