2017
DOI: 10.1093/nar/gkx285
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FireProt: web server for automated design of thermostable proteins

Abstract: There is a continuous interest in increasing proteins stability to enhance their usability in numerous biomedical and biotechnological applications. A number of in silico tools for the prediction of the effect of mutations on protein stability have been developed recently. However, only single-point mutations with a small effect on protein stability are typically predicted with the existing tools and have to be followed by laborious protein expression, purification, and characterization. Here, we present FireP… Show more

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Cited by 140 publications
(113 citation statements)
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References 46 publications
(45 reference statements)
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“…We used two computational calculation programs—FireProt and FRESCO—to predict stable C 1 variants. The X‐ray structure of the WT C 1 (PDB ID: 5ZYR) was processed with the FireProt program to predict stable variants through a combination of energy‐ and evolution‐based computational approaches .…”
Section: Resultsmentioning
confidence: 99%
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“…We used two computational calculation programs—FireProt and FRESCO—to predict stable C 1 variants. The X‐ray structure of the WT C 1 (PDB ID: 5ZYR) was processed with the FireProt program to predict stable variants through a combination of energy‐ and evolution‐based computational approaches .…”
Section: Resultsmentioning
confidence: 99%
“…We used two computational calculation programs—FireProt and FRESCO—to predict stable C 1 variants. The X‐ray structure of the WT C 1 (PDB ID: 5ZYR) was processed with the FireProt program to predict stable variants through a combination of energy‐ and evolution‐based computational approaches . FireProt uses two protein engineering tools, FoldX and Rosetta, to compute the differences in folding free energy change (ΔΔ G fold ) of the WT (Δ G fold,WT ) and variant (Δ G fold,variant ) so as to evaluate the folding stability of each variant.…”
Section: Resultsmentioning
confidence: 99%
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“…Among the interacting amino acid residues of RBD, only ASN487 is found to be conserved ( Figure S3). The energy mutant model of the RBD is constructed based on thermodynamically favorable alteration between amino acids, which is based on FoldX and Rosetta (Musil et al, 2017). The combined mutant model is constructed rstly by the automated incorporation of suggested amino acid residues from energy mutant and evolutionary mutants (Table 2).…”
Section: Discussionmentioning
confidence: 99%