2019
DOI: 10.1002/cctc.201901369
|View full text |Cite
|
Sign up to set email alerts
|

Bridges to Stability: Engineering Disulfide Bonds Towards Enhanced Lipase Biodiesel Synthesis

Abstract: Computational design of disulfide bonds was performed for lipase from Geobacillus stearothermophilus T6 (LipT6) for enhanced methanol stability and improved biodiesel production. Thirteen double mutants comprising new cysteine pairs were screened and evaluated for their stability in 70 % methanol. Superior stability was found with variant E251C/G332C (M13) having a 5.5‐fold higher hydrolysis activity and enhanced unfolding temperature (Tm) of +7.9 °C in methanol compared with wild‐type. Moreover, M13 converted… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
19
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(19 citation statements)
references
References 58 publications
0
19
0
Order By: Relevance
“…Over the years, many different approaches have been used to modify the stability of proteins. Classic protein stability design strategies are usually based on disulfide bonds design [7], optimization of protein surface charges [8], B-factor design [9], Proline effect design [10]. Recently, design tools rely on the energy function or the machine-learning algorithm have been developed to predict changes in protein stability, such as CC/PBSA [11], I-Mutant 2.0 [12], Fold-X [13], MUpro [14], PopMUSIC [15], Rosetta [16].…”
Section: Introductionmentioning
confidence: 99%
“…Over the years, many different approaches have been used to modify the stability of proteins. Classic protein stability design strategies are usually based on disulfide bonds design [7], optimization of protein surface charges [8], B-factor design [9], Proline effect design [10]. Recently, design tools rely on the energy function or the machine-learning algorithm have been developed to predict changes in protein stability, such as CC/PBSA [11], I-Mutant 2.0 [12], Fold-X [13], MUpro [14], PopMUSIC [15], Rosetta [16].…”
Section: Introductionmentioning
confidence: 99%
“…After sequence mutagenesis, 13 double mutants comprising new cysteine pairs were evaluated, finally obtaining variant E251C/G332C with superior stability and improved hydrolysis activity. 34 Currently, successful cases have been reported in the range of improving protein stability and folding, 34 altering specificity and binding affinity, 35 implanting novel enzymatic activities, and preparing high-ordered assemblies. 36,37 The de novo design process usually starts with an unknown sequence and backbone structure and finally requires the determination of the protein sequence that will fold into a certain structure with novel functionality (Figure 2D).…”
Section: Overview Of the Basic Principles And Strategies Of Protein D...mentioning
confidence: 99%
“…But the main barriers of enzyme‐catalyzed processes for their industrial implementation are high cost of enzymes, performance (loss of activity) and recycling problems 11,15 . Several groups have studied methods to improve enzymatic production of biodiesel by transesterification including enzyme immobilization, enzyme engineering, enzyme pre‐ and post‐treatments and microwave heating 16‐25 …”
Section: Introductionmentioning
confidence: 99%