scholarly journals An Intramolecular Salt Bridge in Bacillus thuringiensis Cry4Ba Toxin Is Involved in the Stability of Helix α-3, Which Is Needed for Oligomerization and Insecticidal Activity

2017 ◽  
Vol 83 (20) ◽  
Author(s):  
Sabino Pacheco ◽  
Isabel Gómez ◽  
Jorge Sánchez ◽  
Blanca-Ines García-Gómez ◽  
Mario Soberón ◽  
...  
Keyword(s):  
Bacillus Thuringiensis ◽  
Double Point ◽  
Single Point ◽  
Three Dimensional ◽  
Point Mutations ◽  
Salt Bridge ◽  
Dimensional Structure ◽  
Cry Toxins ◽  
Content Type ◽  
Domain I

ABSTRACT Bacillus thuringiensis three-domain Cry toxins kill insects by forming pores in the apical membrane of larval midgut cells. Oligomerization of the toxin is an important step for pore formation. Domain I helix α-3 participates in toxin oligomerization. Here we identify an intramolecular salt bridge within helix α-3 of Cry4Ba (D111-K115) that is conserved in many members of the family of three-domain Cry toxins. Single point mutations such as D111K or K115D resulted in proteins severely affected in toxicity. These mutants were also altered in oligomerization, and the mutant K115D was more sensitive to protease digestion. The double point mutant with reversed charges, D111K-K115D, recovered both oligomerization and toxicity, suggesting that this salt bridge is highly important for conservation of the structure of helix α-3 and necessary to promote the correct oligomerization of the toxin. IMPORTANCE Domain I has been shown to be involved in oligomerization through helix α-3 in different Cry toxins, and mutations affecting oligomerization also elicit changes in toxicity. The three-dimensional structure of the Cry4Ba toxin reveals an intramolecular salt bridge in helix α-3 of domain I. Mutations that disrupt this salt bridge resulted in changes in Cry4Ba oligomerization and toxicity, while a double point reciprocal mutation that restored the salt bridge resulted in recovery of toxin oligomerization and toxicity. These data highlight the role of oligomer formation as a key step in Cry4Ba toxicity.

scholarly journals SVFX: a machine-learning framework to quantify the pathogenicity of structural variants

2019 ◽  
Author(s):  
Sushant Kumar ◽  
Arif Harmanci ◽  
Jagath Vytheeswaran ◽  
Mark B. Gerstein
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Three Dimensional ◽  
Point Mutations ◽  
Dimensional Structure ◽  
Rapid Decline ◽  
Ras Signaling ◽  
Cancer Genes ◽  
Structural Variations ◽  
Pathogenic Variants

AbstractA rapid decline in sequencing cost has made large-scale genome sequencing studies feasible. One of the fundamental goals of these studies is to catalog all pathogenic variants. Numerous methods and tools have been developed to interpret point mutations and small insertions and deletions. However, there is a lack of approaches for identifying pathogenic genomic structural variations (SVs). That said, SVs are known to play a crucial role in many diseases by altering the sequence and three-dimensional structure of the genome. Previous studies have suggested a complex interplay of genomic and epigenomic features in the emergence and distribution of SVs. However, the exact mechanism of pathogenesis for SVs in different diseases is not straightforward to decipher. Thus, we built an agnostic machine-learning-based workflow, called SVFX, to assign a “pathogenicity score” to somatic and germline SVs in various diseases. In particular, we generated somatic and germline training models, which included genomic, epigenomic, and conservation-based features for SV call sets in diseased and healthy individuals. We then applied SVFX to SVs in six different cancer cohorts and a cardiovascular disease (CVD) cohort. Overall, SVFX achieved high accuracy in identifying pathogenic SVs. Moreover, we found that predicted pathogenic SVs in cancer cohorts were enriched among known cancer genes and many cancer-related pathways (including Wnt signaling, Ras signaling, DNA repair, and ubiquitin-mediated proteolysis). Finally, we note that SVFX is flexible and can be easily extended to identify pathogenic SVs in additional disease cohorts.

scholarly journals Computational Protein Stabilization Can Affect Folding Energy Landscapes and Lead to Domain-Swapped Dimers

2021 ◽  
Author(s):  
Klara Markova ◽  
Antonin Kunka ◽  
Klaudia Chmelova ◽  
Martin Havlasek ◽  
Petra Babkova ◽  
...  
Keyword(s):  
Protein Folding ◽  
Protein Design ◽  
Energy Landscape ◽  
Single Point ◽  
Three Dimensional ◽  
Protein Stabilization ◽  
Dimensional Structure ◽  
Evolutionary Analysis ◽  
Folding Energy

<p>The functionality of a protein depends on its unique three-dimensional structure, which is a result of the folding process when the nascent polypeptide follows a funnel-like energy landscape to reach a global energy minimum. Computer-encoded algorithms are increasingly employed to stabilize native proteins for use in research and biotechnology applications. Here, we reveal a unique example where the computational stabilization of a monomeric α/β-hydrolase enzyme (<i>T</i><sub>m</sub> = 73.5°C; Δ<i>T</i><sub>m</sub> > 23°C) affected the protein folding energy landscape. Introduction of eleven single-point stabilizing mutations based on force field calculations and evolutionary analysis yielded catalytically active domain-swapped intermediates trapped in local energy minima. Crystallographic structures revealed that these stabilizing mutations target cryptic hinge regions and newly introduced secondary interfaces, where they make extensive non-covalent interactions between the intertwined misfolded protomers. The existence of domain-swapped dimers in a solution is further confirmed experimentally by data obtained from SAXS and crosslinking mass spectrometry. Unfolding experiments showed that the domain-swapped dimers can be irreversibly converted into native-like monomers, suggesting that the domain-swapping occurs exclusively <i>in vivo</i>. Our findings uncovered hidden protein-folding consequences of computational protein design, which need to be taken into account when applying a rational stabilization to proteins of biological and pharmaceutical interest.</p>

scholarly journals Computational Protein Stabilization Can Affect Folding Energy Landscapes and Lead to Domain-Swapped Dimers

2021 ◽  
Author(s):  
Klara Markova ◽  
Antonin Kunka ◽  
Klaudia Chmelova ◽  
Martin Havlasek ◽  
Petra Babkova ◽  
...  
Keyword(s):  
Protein Folding ◽  
Protein Design ◽  
Energy Landscape ◽  
Single Point ◽  
Three Dimensional ◽  
Protein Stabilization ◽  
Dimensional Structure ◽  
Evolutionary Analysis ◽  
Folding Energy

<p>The functionality of a protein depends on its unique three-dimensional structure, which is a result of the folding process when the nascent polypeptide follows a funnel-like energy landscape to reach a global energy minimum. Computer-encoded algorithms are increasingly employed to stabilize native proteins for use in research and biotechnology applications. Here, we reveal a unique example where the computational stabilization of a monomeric α/β-hydrolase enzyme (<i>T</i><sub>m</sub> = 73.5°C; Δ<i>T</i><sub>m</sub> > 23°C) affected the protein folding energy landscape. Introduction of eleven single-point stabilizing mutations based on force field calculations and evolutionary analysis yielded catalytically active domain-swapped intermediates trapped in local energy minima. Crystallographic structures revealed that these stabilizing mutations target cryptic hinge regions and newly introduced secondary interfaces, where they make extensive non-covalent interactions between the intertwined misfolded protomers. The existence of domain-swapped dimers in a solution is further confirmed experimentally by data obtained from SAXS and crosslinking mass spectrometry. Unfolding experiments showed that the domain-swapped dimers can be irreversibly converted into native-like monomers, suggesting that the domain-swapping occurs exclusively <i>in vivo</i>. Our findings uncovered hidden protein-folding consequences of computational protein design, which need to be taken into account when applying a rational stabilization to proteins of biological and pharmaceutical interest.</p>

scholarly journals DUF3380 Domain from a Salmonella Phage Endolysin Shows PotentN-Acetylmuramidase Activity

2016 ◽  
Vol 82 (16) ◽  
pp. 4975-4981 ◽  
Author(s):  
Lorena Rodríguez-Rubio ◽  
Hans Gerstmans ◽  
Simon Thorpe ◽  
Stéphane Mesnage ◽  
Rob Lavigne ◽  
...  
Keyword(s):  
Enzymatic Activity ◽  
Thermal Resistance ◽  
High Performance ◽  
Antimicrobial Agents ◽  
Biochemical Characterization ◽  
Specific Activity ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Gram Negative ◽  
Content Type

ABSTRACTBacteriophage-encoded endolysins are highly diverse enzymes that cleave the bacterial peptidoglycan layer. Current research focuses on their potential applications in medicine, in food conservation, and as biotechnological tools. Despite the wealth of applications relying on the use of endolysin, little is known about the enzymatic properties of these enzymes, especially in the case of endolysins of bacteriophages infecting Gram-negative species. Automated genome annotations therefore remain to be confirmed. Here, we report the biochemical analysis and cleavage site determination of a novelSalmonellabacteriophage endolysin, Gp110, which comprises an uncharacterizeddomain ofunknownfunction (DUF3380; pfam11860) in its C terminus and shows a higher specific activity (34,240 U/μM) than that of 14 previously characterized endolysins active against peptidoglycan from Gram-negative bacteria (corresponding to 1.7- to 364-fold higher activity). Gp110 is a modular endolysin with an optimal pH of enzymatic activity of pH 8 and elevated thermal resistance. Reverse-phase high-performance liquid chromatography (RP-HPLC) analysis coupled to mass spectrometry showed that DUF3380 hasN-acetylmuramidase (lysozyme) activity cleaving the β-(1,4) glycosidic bond betweenN-acetylmuramic acid andN-acetylglucosamine residues. Gp110 is active against directly cross-linked peptidoglycans with various peptide stem compositions, making it an attractive enzyme for developing novel antimicrobial agents.IMPORTANCEWe report the functional and biochemical characterization of theSalmonellaphage endolysin Gp110. This endolysin has a modular structure with an enzymatically active domain and a cell wall binding domain. The enzymatic activity of this endolysin exceeds that of all other endolysins previously characterized using the same methods. A domain of unknown function (DUF3380) is responsible for this high enzymatic activity. We report that DUF3380 hasN-acetylmuramidase activity against directly cross-linked peptidoglycans with various peptide stem compositions. This experimentally verified activity allows better classification and understanding of the enzymatic activities of endolysins, which mostly are inferred by sequence similarities. Three-dimensional structure predictions for Gp110 suggest a fold that is completely different from that of known structures of enzymes with the same peptidoglycan cleavage specificity, making this endolysin quite unique. All of these features, combined with increased thermal resistance, make Gp110 an attractive candidate for engineering novel endolysin-based antibacterials.

Hospitality situations, consumer expertise, and perceptions of wine attributes: three empirical studies

2019 ◽  
Vol 31 (1) ◽  
pp. 68-88 ◽  
Author(s):  
Dale F. Duhan ◽  
Shannon B. Rinaldo ◽  
Natalia Velikova ◽  
Tim Dodd ◽  
Brent Trela
Keyword(s):  
Empirical Studies ◽  
Three Dimensional ◽  
Total Sample ◽  
Dimensional Structure ◽  
Product Knowledge ◽  
Product Attributes ◽  
Content Type ◽  
Wine Consumption ◽  
Consumer Expertise ◽  
Academic Researchers

PurposeWine choices are not always fully understood by academic researchers or the industry. This paper aims to outline and test a theoretical model proposing that wine consumption may be dependent on differences in consumer expertise, the hospitality situation, characteristics of the wine itself and an interaction of these variables.Design/methodology/approachThree empirical studies (total sample size = 356) tested these theoretical propositions. Consumers with varying levels of wine knowledge were presented with experimental vignettes showing videos of wine opening and pouring and were asked to pair wines with hospitality situations.FindingsStudy 1 found that consumers with low product knowledge were more sensitive to hospitality situations and extrinsic product attributes (closures) than were the experts. Study 2 found that wine hospitality situations fall into three predicted categories, namely, food, friends and formality, although contrary to prediction, the presence of food was the weakest predictors. Study 3 demonstrated the robustness of the three-dimensional structure of wine hospitality situations.Practical implicationsThese studies provided important practical information because targeting various market segments requires the industry to know what product attributes are favored by different groups of consumers different situations.Originality/valuePrevious researchers have discussed the difficulty of measuring consumption situations. By limiting these studies to wine consumption within hospitality situations, the authors learned much about how consumers’ characteristics, product attributes and the situations interact to influence not only product assessments but also choices.

scholarly journals Use of Single Point Mutations in Domain I of β2-Glycoprotein I to Determine Fine Antigenic Specificity of Antiphospholipid Autoantibodies

2002 ◽  
Vol 169 (12) ◽  
pp. 7097-7103 ◽  
Author(s):  
G. Michael Iverson ◽  
Stephen Reddel ◽  
Edward J. Victoria ◽  
Keith A. Cockerill ◽  
Ying-Xia Wang ◽  
...  
Keyword(s):  
Single Point ◽  
Point Mutations ◽  
Antigenic Specificity ◽  
Glycoprotein I ◽  
Single Point Mutations ◽  
Domain I

scholarly journals Structure, function and regulation of pyruvate carboxylase

1999 ◽  
Vol 340 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Sarawut JITRAPAKDEE ◽  
John C. WALLACE
Keyword(s):  
Pyruvate Carboxylase ◽  
Limited Proteolysis ◽  
Three Dimensional ◽  
Point Mutations ◽  
Dimensional Structure ◽  
Molecular Defects ◽  
X Ray Crystallography ◽  
Neurotransmitter Substances ◽  
Translational Mechanisms ◽  
Structural Region

Pyruvate carboxylase (PC; EC 6.4.1.1), a member of the biotin-dependent enzyme family, catalyses the ATP-dependent carboxylation of pyruvate to oxaloacetate. PC has been found in a wide variety of prokaryotes and eukaryotes. In mammals, PC plays a crucial role in gluconeogenesis and lipogenesis, in the biosynthesis of neurotransmitter substances, and in glucose-induced insulin secretion by pancreatic islets. The reaction catalysed by PC and the physical properties of the enzyme have been studied extensively. Although no high-resolution three-dimensional structure has yet been determined by X-ray crystallography, structural studies of PC have been conducted by electron microscopy, by limited proteolysis, and by cloning and sequencing of genes and cDNA encoding the enzyme. Most well characterized forms of active PC consist of four identical subunits arranged in a tetrahedron-like structure. Each subunit contains three functional domains: the biotin carboxylation domain, the transcarboxylation domain and the biotin carboxyl carrier domain. Different physiological conditions, including diabetes, hyperthyroidism, genetic obesity and postnatal development, increase the level of PC expression through transcriptional and translational mechanisms, whereas insulin inhibits PC expression. Glucocorticoids, glucagon and catecholamines cause an increase in PC activity or in the rate of pyruvate carboxylation in the short term. Molecular defects of PC in humans have recently been associated with four point mutations within the structural region of the PC gene, namely Val145 → Ala, Arg451 → Cys, Ala610 → Thr and Met743 → Thr.

scholarly journals Structure-function studies of the myosin motor domain: importance of the 50-kDa cleft.

1996 ◽  
Vol 7 (7) ◽  
pp. 1123-1136 ◽  
Author(s):  
K M Ruppel ◽  
J A Spudich
Keyword(s):  
Active Site ◽  
Three Dimensional ◽  
Point Mutations ◽  
Random Mutagenesis ◽  
Motor Domain ◽  
Actin Binding ◽  
Dimensional Structure ◽  
Null Cell ◽  
Myosin Motor Domain ◽  
Cell Phenotypes

We used random mutagenesis to create 21 point mutations in a highly conserved region of the motor domain of Dictyostelium myosin and classified them into three distinct groups based on the ability to complement myosin null cell phenotypes: wild type, intermediate, and null. Biochemical analysis of the mutated myosins also revealed three classes of mutants that correlated well with the phenotypic classification. The mutated myosins that were not fully functional showed defects ranging from ATP nonhydrolyzers to myosins whose enzymatic and mechanical properties are uncoupled. Placement of the mutations onto the three-dimensional structure of myosin showed that the mutated region lay along the cleft that separates the active site from the actin-binding domain and that has been shown to move in response to changes at the active site. These results demonstrate that this region of myosin plays a key role in transduction of chemical energy to mechanical displacement.

scholarly journals Improved Production of a Heterologous Amylase in Saccharomyces cerevisiae by Inverse Metabolic Engineering

2014 ◽  
Vol 80 (17) ◽  
pp. 5542-5550 ◽  
Author(s):  
Zihe Liu ◽  
Lifang Liu ◽  
Tobias Österlund ◽  
Jin Hou ◽  
Mingtao Huang ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Metabolic Engineering ◽  
Secretory Pathway ◽  
Single Point ◽  
Point Mutations ◽  
Model Organisms ◽  
Cell Factory ◽  
Amylase Secretion ◽  
Content Type ◽  
Inverse Metabolic Engineering

ABSTRACTThe increasing demand for industrial enzymes and biopharmaceutical proteins relies on robust production hosts with high protein yield and productivity. Being one of the best-studied model organisms and capable of performing posttranslational modifications, the yeastSaccharomyces cerevisiaeis widely used as a cell factory for recombinant protein production. However, many recombinant proteins are produced at only 1% (or less) of the theoretical capacity due to the complexity of the secretory pathway, which has not been fully exploited. In this study, we applied the concept of inverse metabolic engineering to identify novel targets for improving protein secretion. Screening that combined UV-random mutagenesis and selection for growth on starch was performed to find mutant strains producing heterologous amylase 5-fold above the level produced by the reference strain. Genomic mutations that could be associated with higher amylase secretion were identified through whole-genome sequencing. Several single-point mutations, including an S196I point mutation in theVTA1gene coding for a protein involved in vacuolar sorting, were evaluated by introducing these to the starting strain. By applying this modification alone, the amylase secretion could be improved by 35%. As a complement to the identification of genomic variants, transcriptome analysis was also performed in order to understand on a global level the transcriptional changes associated with the improved amylase production caused by UV mutagenesis.

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