Recombinant Bifunctional protein FolD (folD)

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Description

Production and Expression Systems

The recombinant FolD protein is produced using multiple expression platforms:

ParameterDetails
SourceStaphylococcus aureus (strain USA300)
Expression HostsE. coli, yeast, baculovirus, or mammalian cell systems
Purity>95% (assessed via SDS-PAGE)
StorageLyophilized powder stable at -80°C; reconstituted aliquots stable at -20°C .

Applications in Research

  • Vaccine Development: Investigated as a potential antigen for vaccines targeting Staphylococcus aureus infections, including methicillin-resistant strains (MRSA) .

  • Enzyme Kinetics: Used to study folate metabolism pathways and validate inhibitors for antimicrobial drug discovery.

  • Structural Biology: Supports crystallography and mutagenesis studies to elucidate catalytic mechanisms .

Research Limitations and Gaps

While FolD’s role in bacterial metabolism is well-documented, no peer-reviewed studies detailing kinetic parameters, structural data, or in vivo efficacy of the recombinant form were identified in the provided sources. Current information is limited to commercial product specifications .

Future Directions

  • Kinetic Profiling: Determine KmK_m, VmaxV_{max}, and pH/thermal stability ranges.

  • Therapeutic Validation: Assess immunogenicity in preclinical models to evaluate vaccine potential.

  • Structural Analysis: Resolve 3D structures to guide rational drug design .

Product Specs

Form
Lyophilized powder. We will ship the format we have in stock. If you have special format requirements, please note them when ordering, and we will fulfill your request.
Lead Time
Delivery times vary based on purchasing method and location. Consult your local distributor for specific delivery information. All proteins are shipped with standard blue ice packs. If dry ice is required, please contact us in advance, as extra fees apply.
Notes
Avoid repeated freeze-thaw cycles. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect the contents at the bottom. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. Adding 5-50% glycerol (final concentration) is recommended for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50% for your reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form is stable for 6 months at -20°C/-80°C, and the lyophilized form is stable for 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receiving. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize developing it.
Synonyms
folDBifunctional protein FolD [Includes: Methylenetetrahydrofolate dehydrogenase; EC 1.5.1.5); Methenyltetrahydrofolate cyclohydrolase; EC 3.5.4.9)]
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-284
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Streptococcus thermophilus
Target Names
folD
Target Protein Sequence
MAIIMDGKAL AVNMQEQLQE KVARLKEKEW IVPGLVVIMV GENPASQVYV RNKERAAKKA GFHSKTVNLS ESISEEELIE VIEKYNQNPL FHGILVQLPL PNHINEMRIL LAIDPKKDVD GFHPMNTGNL WNGRPQMVPC TPAGIMEILR EYNVELEGKT AVIIGRSNIV GKPMAQLLLE KNATVTLTHS RTPHLAKVCN KADVLIVAIG RAKFVTEEFV KEGAVVIDVG INRDEEGKLC GDVDFDQVKE KVSMITPVPG GVGPMTITML MEQTYQAALR SLKG
Uniprot No.

Target Background

Function
Catalyzes the oxidation of 5,10-methylenetetrahydrofolate to 5,10-methenyltetrahydrofolate and its subsequent hydrolysis to 10-formyltetrahydrofolate.
Database Links
Protein Families
Tetrahydrofolate dehydrogenase/cyclohydrolase family

Q&A

What expression systems are commonly used for recombinant FolD production?

Recombinant FolD can be expressed in multiple heterologous systems, with each offering distinct advantages:

Expression SystemAdvantagesConsiderationsCommon Applications
E. coliRapid growth, high yields, well-established protocolsLimited post-translational modificationsStructural studies, basic functional assays
YeastEukaryotic post-translational modifications, secretion possibleLonger cultivation timeStudies requiring properly folded protein
BaculovirusComplex eukaryotic post-translational modificationsMore technically demandingComplex functional studies
Mammalian cellsFull range of post-translational modificationsExpensive, lower yieldsApplications requiring authentic modifications

E. coli is the most commonly used system for basic research purposes, providing adequate yields with relatively simple protocols . For recombinant FolD, expression typically employs standard bacterial strains (BL21(DE3)) with T7 promoter-based vectors incorporating appropriate purification tags.

What are the optimal storage and handling conditions for recombinant FolD?

The stability of recombinant FolD depends on several factors including formulation, buffer composition, and storage temperature:

  • Liquid formulation: Typical shelf life is 6 months at -20°C/-80°C

  • Lyophilized formulation: Extended shelf life of 12 months at -20°C/-80°C

Recommended handling practices include:

  • Brief centrifugation of vials prior to opening to bring contents to the bottom

  • Reconstitution in deionized sterile water to 0.1-1.0 mg/mL

  • Addition of glycerol (5-50% final concentration) for long-term storage

  • Aliquoting to avoid repeated freeze-thaw cycles

  • Storage of working aliquots at 4°C for no more than one week

These practices help maintain enzyme activity and structural integrity by minimizing protein denaturation and aggregation.

What experimental designs are appropriate for studying the kinetics of bifunctional enzymes like FolD?

Studying bifunctional enzyme kinetics requires specialized approaches to analyze the dual catalytic activities:

  • Multiple Depletion Curves Method (MDCM):

    • Uses multiple starting substrate concentrations

    • Measures substrate depletion over time

    • Allows reliable estimation of enzyme kinetic parameters (CLint, Vmax, and Km)

    • Serves as a reliable reference method for other approaches

  • Optimal Design Approach (ODA):

    • Optimizes experimental conditions with limited sample numbers

    • Particularly useful when saturation kinetics and nonlinear metabolism are of interest

    • Can achieve >90% agreement with MDCM for CLint estimation

    • Shows good agreement (>80%) for Vmax and Km estimations

  • Progress Curve Analysis:

    • Measures reaction progress over time at different substrate concentrations

    • Initial velocities determined by slope at t=0

    • Enables generation of Michaelis-Menten plots from comprehensive datasets

Table: Comparison of Kinetic Analysis Methods for Bifunctional Enzymes

MethodSample RequirementsParameter AccuracyComplexityBest For
MDCMHighVery HighModerateReference standard
ODALow-ModerateHigh for CLint, Moderate for Vmax/KmLowLimited sample availability
Progress CurveModerateModerate-HighHighDetailed mechanism studies

When designing experiments for FolD, researchers should consider the interconnected nature of the two catalytic activities and potential substrate channeling between active sites .

How do different linker designs impact bifunctional fusion protein performance?

Understanding linker design is critical when studying bifunctional proteins like FolD or when engineering novel bifunctional enzymes:

Three main categories of linkers are used in bifunctional protein research:

  • Flexible linkers: Commonly composed of glycine and serine residues (e.g., GGGGS)

    • Allow independent domain movement

    • Maintain domain separation while permitting interaction

    • Example: (G4S)n where n ranges from 1-4

  • Rigid linkers: Often use proline-rich or helical motifs

    • Maintain fixed distance between domains

    • Prevent unwanted domain interactions

    • Example: A(EAAAK)4ALEA(EAAAK)4A or PAPAP

  • Cleavable linkers: Incorporate protease recognition sites

    • Allow post-expression separation of domains

    • Enable study of individual domain functions

    • Example: Factor Xa or thrombin recognition sequences

The choice of linker significantly impacts:

  • Folding efficiency of individual domains

  • Maintenance of catalytic activities

  • Stability of the fusion protein

  • Potential substrate channeling between active sites

For example, in a chitinase-protease fusion protein study, a flexible glycine-serine (G4S)2 linker successfully maintained both enzymatic activities in the fusion protein . When designing experiments to study FolD's dual catalytic functions, researchers might consider domain separation experiments using engineered linkers to understand the coordination between the methylenetetrahydrofolate dehydrogenase and methenyltetrahydrofolate cyclohydrolase activities.

How can researchers distinguish between the dual catalytic activities of FolD in experimental assays?

Distinguishing between the dual catalytic activities of FolD requires specialized assay design:

  • Selective Substrate Approach:

    • Use substrates that are specific to each catalytic function

    • For methylenetetrahydrofolate dehydrogenase activity: methylenetetrahydrofolate with NAD+ or NADP+

    • For methenyltetrahydrofolate cyclohydrolase activity: methenyltetrahydrofolate

  • Selective Inhibition:

    • Apply inhibitors that specifically target one activity while monitoring the other

    • Requires careful characterization of inhibition patterns (competitive vs. non-competitive)

    • Can be analyzed using Lineweaver-Burk plots to determine inhibition mechanisms

  • Spectroscopic Differentiation:

    • Monitor distinct spectral changes associated with each reaction

    • Dehydrogenase activity: measure NAD(P)H formation at 340 nm

    • Cyclohydrolase activity: monitor methenyltetrahydrofolate conversion

  • Reaction Coupling:

    • Couple each reaction to specific secondary enzymatic reactions with distinct measurable outputs

    • Use enzyme-specific dyes or fluorescent indicators

  • Site-Directed Mutagenesis:

    • Create variants with mutations in one active site while preserving the other

    • Allows separate assessment of each activity

    • Helps understand the interdependence between activities

The experimental challenge lies in developing conditions where one activity can be measured without interference from the other, particularly if substrate channeling occurs between the two catalytic sites .

What are the challenges in analyzing enzyme kinetic data for bifunctional proteins like FolD?

Analyzing kinetic data for bifunctional enzymes presents unique challenges that require specialized approaches:

  • Complex Reaction Mechanisms:

    • Standard Michaelis-Menten kinetics may not apply directly

    • Potential allosteric interactions between domains complicate interpretation

    • Substrate channeling may violate assumptions of classical enzyme kinetics

    • Graph theory approaches may be needed to model complex mechanisms

  • Data Quality and Error Analysis:

    • Experimental data often contains correlated noise

    • Proper analysis of residuals is crucial for validating kinetic models

    • Decreased substrate turnover increases variability in Vmax and Km estimates

  • Parameter Variability:

    • Variability in Vmax and Km estimates is typically higher than for CLint

    • Environmental conditions may differentially affect each catalytic activity

    • Multiple starting substrate concentrations are essential for reliable parameter estimation

  • Model Selection Challenges:

    • Determining the appropriate kinetic model for a bifunctional enzyme

    • Balancing model complexity with interpretability

    • Avoiding overfitting through rigorous statistical validation

To address these challenges, researchers studying FolD should:

  • Use multiple analytical approaches and cross-validate results

  • Employ specialized software for complex kinetic modeling

  • Consider advanced computational methods like global fitting of multiple datasets

  • Design controls that can distinguish between different mechanistic possibilities

How do environmental factors influence the dual catalytic activities of FolD?

Environmental factors can differentially affect the two catalytic activities of FolD, requiring careful characterization:

  • pH Effects:

    • Each catalytic function may exhibit a distinct pH optimum

    • In similar bifunctional enzymes, pH optima for different activities can vary significantly

    • For example, in a chitinase-protease fusion protein, optimal pH values were 5.0 and 8.0 for the respective activities

    • A comprehensive pH profile (pH 4-10) should be established for each FolD activity

  • Temperature Effects:

    • Thermal stability may differ between the two domains

    • Activity measurements at various temperatures (4-60°C) help identify optimal conditions

    • Thermal denaturation studies can reveal whether domains unfold independently or cooperatively

  • Metal Ion Dependencies:

    • Metal ions may enhance, inhibit, or have no effect on each activity

    • Common ions to test include: Cu2+, Zn2+, Mg2+, Mn2+, Ca2+, Na+, K+

    • In some bifunctional enzymes, certain metal ions can significantly enhance activity

Table: Potential Environmental Effects on FolD Activities

Environmental FactorEffect on Dehydrogenase ActivityEffect on Cyclohydrolase ActivityExperimental Approach
pHOptimal range must be determinedOptimal range must be determinedBuffer series from pH 4-10
TemperatureMay have distinct thermal stabilityMay have distinct thermal stabilityActivity assays at 5-10°C intervals
Metal ionsMay require specific cofactorsMay have different metal requirementsActivity assays with/without EDTA, followed by metal ion screening
Oxidizing agentsMay affect redox-sensitive residuesEffect may differ from dehydrogenaseControlled exposure to H2O2, monitoring both activities
Organic solventsMay disrupt hydrophobic interactionsMay affect substrate binding differentlyTesting with 5-20% common solvents (ethanol, DMSO)

Understanding these differential effects is crucial for optimizing experimental conditions and interpreting kinetic data accurately .

What strategies can be employed for the conformational analysis of FolD?

Understanding the conformational dynamics of FolD is essential for elucidating its catalytic mechanism:

  • X-ray Crystallography:

    • Provides high-resolution structural information

    • Can capture different functional states with substrate analogs or inhibitors

    • Limited in capturing dynamic conformational changes

    • Critical for identifying the spatial arrangement of the dual catalytic sites

  • NMR Spectroscopy:

    • Allows investigation of protein dynamics in solution

    • Can detect conformational changes upon substrate binding

    • Hydrogen-deuterium exchange can identify flexible regions

    • Limited by protein size constraints

  • Protein Switching Analysis:

    • Similar to studies on proteins that change folds and functions

    • Can identify minimal sequence elements required for switching between conformational states

    • Studies have shown that some proteins can switch structure via single amino acid substitutions

    • For FolD, this approach could identify residues critical for coordinating the dual functions

  • Molecular Dynamics Simulations:

    • Computational approach to study conformational changes

    • Can model substrate binding and potential domain movements

    • Provides insights into allosteric communication between catalytic sites

    • Requires validation with experimental data

  • Single-Molecule FRET:

    • Can detect conformational changes in real-time at the single-molecule level

    • Allows observation of rare or transient conformational states

    • Requires strategic placement of fluorophores on the protein

  • Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):

    • Maps solvent-accessible regions and their dynamics

    • Can identify conformational changes upon substrate binding

    • Provides peptide-level resolution of structural flexibility

These complementary approaches provide a comprehensive understanding of how the dual catalytic functions of FolD are coordinated through conformational changes .

How can folding stability measurements inform our understanding of bifunctional enzymes like FolD?

Protein folding stability measurements provide critical insights into bifunctional enzyme structure-function relationships:

  • Thermodynamic Stability Profiles:

    • Recent advances enable measurement of folding stability for up to 900,000 protein domains in a single experiment

    • cDNA display proteolysis methods can generate high-quality folding stability data for variants

    • These approaches can map how mutations in one domain affect stability of both domains in FolD

  • Single Point Mutation Effects:

    • Single mutations can dramatically alter folding stability (by orders of magnitude)

    • For bifunctional enzymes, mutations may differentially affect each domain

    • High-throughput stability assays can quantify these effects across the entire protein

  • Cooperative Folding Analysis:

    • Determines whether domains fold independently or cooperatively

    • Chemical denaturation studies with monitoring of activity loss for each function

    • Thermal denaturation monitored by circular dichroism or differential scanning calorimetry

  • Domain Interaction Mapping:

    • Some proteins can switch between different folds via minimal sequence changes

    • Similar analysis of FolD could reveal how its domains interact and influence each other

    • Studies have shown that some proteins can maintain partial function during structural transitions

Table: Approaches for Analyzing Folding Stability in Bifunctional Enzymes

MethodInformation ProvidedApplication to FolD
Chemical denaturationThermodynamic parameters (ΔG, m-value)Compare stability of individual domains
Thermal denaturationMelting temperatures (Tm)Identify domain with lower thermal stability
Proteolysis susceptibilityRegions of structural flexibilityMap domain boundaries and flexible linkers
Hydrogen-deuterium exchangeSolvent accessibility patternsIdentify cooperative folding units
Mega-scale mutational analysisEffects of thousands of mutationsMap stability determinants across both domains

These approaches can reveal how the bifunctional nature of FolD impacts its structural stability and how evolution has balanced the requirements of the two catalytic functions .

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