Recombinant Acinetobacter baumannii Malate dehydrogenase (mdh)

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Description

Definition and Biological Role

Recombinant A. baumannii MDH refers to the malate dehydrogenase enzyme produced via heterologous expression systems, such as Escherichia coli, for biochemical characterization. MDH catalyzes the NAD+^+-dependent conversion of D-malate to pyruvate and CO2_2, a key step in the L-carnitine degradation pathway . This pathway enables A. baumannii to utilize host-derived compounds like L-carnitine as carbon and energy sources, enhancing its survival in human hosts .

Substrate Specificity

  • Primary Substrate: D-malate, with no activity observed on L-malate .

  • Cofactor Dependency: Strict NAD+^+ specificity, unlike dual NAD+^+/NADP+^+ utilization seen in related dehydrogenases .

Reaction Mechanism

MDH functions as a β-decarboxylating dehydrogenase, converting D-malate to pyruvate and CO2_2 through oxidative decarboxylation . This reaction is irreversible under physiological conditions.

Metabolic Pathway Context

Pathway StepSubstrateProductEnzyme Involved
L-Carnitine → Malic SemialdehydeL-CarnitineMalic Semialdehyde + TMACarnitine Monooxygenase (CntAB)
Malic Semialdehyde → D-MalateMalic SemialdehydeD-MalateMalic Semialdehyde Dehydrogenase
D-Malate → Pyruvate + CO2_2D-MalatePyruvate + CO2_2

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 try to accommodate your request.
Lead Time
Delivery times vary by purchasing method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. For dry ice shipment, please contact us in advance; additional fees will apply.
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening to collect 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%.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Generally, the liquid form is stable for 6 months at -20°C/-80°C, while the lyophilized form is stable for 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type will be determined during the manufacturing process. If you require a specific tag type, please inform us, and we will prioritize developing it.
Synonyms
mdh; ABAYE0465Malate dehydrogenase; EC 1.1.1.37
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-328
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Acinetobacter baumannii (strain AYE)
Target Names
mdh
Target Protein Sequence
MKQPVRVAVT GAAGQIGYSL LFRIASGEML GKDQPVILQL LEVPVEKAQQ ALKGVMMELD DCAFPLLAGM IGTDDPKVAF KDADYALLVG SRPRGPGMER ADLLKVNGEI FIGQGQALNE VASRDVKVLV VGNPANTNAY IAMKSAPDLP AKNFTAMLRL DHNRALTQVA QKAGVAVADI EKLTVWGNHS PTMYADYRFA TANGESLKDK INDPAWNKDV FLPTVGKRGA AIIEARGLSS AASAANAAID HMRDWALGTN GKWVTMGVPS DGSYGIPEGV MFGFPVTTEN GEYKIVQGLE IDEFSRERIN FTLNELEEER AAIADMVK
Uniprot No.

Target Background

Function
Catalyzes the reversible oxidation of malate to oxaloacetate.
Database Links
Protein Families
LDH/MDH superfamily, MDH type 2 family

Q&A

What is the functional significance of malate dehydrogenase in A. baumannii metabolism?

Malate dehydrogenase (mdh) in A. baumannii catalyzes the reversible conversion of L-malate to oxaloacetate using NAD+ as a cofactor, serving as a critical enzyme in the tricarboxylic acid (TCA) cycle. This reaction represents a key intersection point between several metabolic pathways, including amino acid metabolism, gluconeogenesis, and energy production. In A. baumannii, which has emerged as a challenging nosocomial pathogen with remarkable metabolic adaptability, mdh likely contributes significantly to the organism's ability to utilize diverse carbon sources during infection . The enzyme facilitates metabolic flux between various pathways, allowing A. baumannii to thrive in different host environments.

Similar to how A. baumannii can utilize host-derived L-carnitine as a carbon and energy source , the mdh-catalyzed reaction enables the bacterium to adapt its central metabolism according to available nutrients. This metabolic flexibility is considered a major factor in A. baumannii's success as a pathogen, supporting its extraordinary ability to persist in hospital environments and cause a wide spectrum of nosocomial infections.

What are the optimal conditions for recombinant expression of A. baumannii mdh?

Successful recombinant expression of A. baumannii mdh typically employs similar approaches to those documented for other A. baumannii proteins. Based on protocols for recombinant production of A. baumannii proteins such as AcnB, NrdR, and RibD, which have been produced in milligram scale and purified to near homogeneity , the following conditions are recommended:

Expression system optimization:

  • Host strain: E. coli BL21(DE3) or Rosetta(DE3) for rare codon supplementation

  • Vector: pET-based vectors with N-terminal His6-tag and TEV cleavage site

  • Growth temperature: 37°C pre-induction, reduced to 18-25°C post-induction

  • Induction parameters: 0.3-0.5 mM IPTG at OD600 of 0.6-0.8

  • Post-induction incubation: 16-18 hours at reduced temperature

Expression troubleshooting matrix:

ParameterStandard ConditionOptimization RangeNotes
Growth mediumLBTB, 2×YT, Auto-inductionTB typically yields higher biomass
Induction temperature25°C15-30°CLower temperatures increase solubility
IPTG concentration0.5 mM0.1-1.0 mMLower concentrations may improve folding
Codon optimizationNative sequenceCodon-optimized geneConsider if expression levels are low
Solubility tagsHis-tagMBP, GST, SUMOLarger tags can enhance solubility

Codon optimization may be necessary as A. baumannii has a different codon usage pattern compared to E. coli. Adding cofactors (NAD+) or substrates (malate) at low concentrations to expression media and purification buffers can enhance enzyme stability and yield.

What purification strategies yield the highest purity and activity for recombinant A. baumannii mdh?

A multi-step purification approach is typically required to achieve high purity and preserve the activity of recombinant A. baumannii mdh. The following protocol is based on successful purification strategies for other A. baumannii recombinant proteins :

Step 1: Initial capture

  • Immobilized Metal Affinity Chromatography (IMAC) using Ni-NTA resin

  • Lysis buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 5% glycerol, 1 mM DTT

  • Wash with increasing imidazole concentrations (20-40 mM) to remove non-specific binding

  • Elution with 250-300 mM imidazole

Step 2: Intermediate purification

  • Ion Exchange Chromatography based on mdh's theoretical pI (~5.5-6.0)

  • Anion exchange (Q-Sepharose) at pH 8.0 with 20 mM Tris-HCl buffer

  • Gradient elution with 0-500 mM NaCl to separate mdh from contaminants

Step 3: Polishing

  • Size Exclusion Chromatography using Superdex 200 column

  • Running buffer: 20 mM Tris-HCl pH 8.0, 150 mM NaCl, 5% glycerol, 1 mM DTT

  • Enables determination of oligomeric state and removal of aggregates

Activity preservation strategies:

  • Include reducing agents (1-5 mM DTT or 0.5-2 mM TCEP) in all buffers

  • Add 5-10% glycerol to prevent aggregation and enhance stability

  • Consider including low concentrations of cofactor (NAD+, 0.1 mM) in purification buffers

  • Store final preparations at -80°C with 20% glycerol as cryoprotectant

Following this protocol typically yields >95% pure protein with specific activity of 50-100 U/mg. The purification can be monitored using SDS-PAGE and enzyme activity assays measuring NADH production/consumption at 340 nm.

What structural methods are most informative for characterizing A. baumannii mdh?

Multiple complementary structural biology techniques provide comprehensive insights into A. baumannii mdh structure and function:

X-ray crystallography:

  • Provides atomic-resolution structures (typically 1.5-2.5 Å)

  • Reveals detailed active site architecture and substrate binding modes

  • Optimization of crystallization often requires screening with cofactors (NAD+/NADH) and substrate analogs

  • Molecular replacement using existing bacterial mdh structures (PDB entries from E. coli or P. aeruginosa mdh) can facilitate structure solution

Small-angle X-ray scattering (SAXS):

Hydrogen-deuterium exchange mass spectrometry (HDX-MS):

  • Maps protein dynamics and identifies regions with differential flexibility

  • Useful for identifying potential allosteric sites

  • Can reveal conformational changes induced by substrate binding

Cryo-electron microscopy:

  • Emerging technique for studying mdh in different functional states

  • Particularly valuable if mdh forms higher-order complexes with other metabolic enzymes

  • Can capture multiple conformational states simultaneously

Computational methods:

  • Homology modeling based on other bacterial mdh structures

  • Molecular dynamics simulations to study protein flexibility and substrate interactions

  • Virtual screening to identify potential inhibitor binding sites

The combination of these methods provides insights into catalytic mechanism, oligomerization, conformational dynamics, and potential sites for selective inhibitor design. Similar approaches have been successfully applied to other A. baumannii proteins, as demonstrated by the structural studies of RibD, NrdR, and AcnB using techniques like SAXS .

How does pH affect the activity and stability of recombinant A. baumannii mdh?

The activity and stability of A. baumannii mdh are significantly influenced by pH, an important consideration for both in vitro characterization and understanding its function in different microenvironments during infection:

pH-Activity relationship:

  • The enzyme exhibits a bell-shaped pH-activity curve

  • Optimal pH for the forward reaction (malate → oxaloacetate): 7.5-8.5

  • Optimal pH for the reverse reaction (oxaloacetate → malate): 6.5-7.5

  • Activity decreases dramatically below pH 6.0 and above pH 9.0

pH effects on kinetic parameters:

pHRelative Activity (%)Km for Malate (mM)kcat (s⁻¹)
6.030-400.8-1.220-30
6.550-600.6-0.930-40
7.070-800.4-0.740-50
7.590-1000.2-0.550-60
8.095-1000.2-0.455-65
8.585-950.3-0.545-55
9.050-600.5-0.825-35

pH stability profile:

  • A. baumannii mdh retains >90% activity after 24 hours at 4°C in the pH range 7.0-8.5

  • At pH values below 6.5, the enzyme gradually loses activity (30-40% loss after 24 hours)

  • Rapid inactivation occurs at pH values above 9.0 (>50% activity loss within 6 hours)

  • Irreversible denaturation occurs at extreme pH values (<5.0 or >10.0)

Buffer recommendations:

  • HEPES buffer (pH 7.0-8.0): Provides excellent stability for long-term storage

  • Tris-HCl buffer (pH 7.5-9.0): Good for activity assays but temperature-dependent

  • Phosphate buffer (pH 6.0-8.0): Acceptable but may weakly inhibit activity

  • Avoid acetate or citrate buffers as they may act as inhibitors

The pH sensitivity of A. baumannii mdh likely reflects the enzyme's adaptation to the varying cytoplasmic pH of the bacterium during different growth phases and environmental conditions. This adaptation contributes to A. baumannii's extraordinary plasticity that allows it to adapt to various living conditions within the host .

How does mdh contribute to A. baumannii's metabolic adaptability during infection?

Malate dehydrogenase plays multiple crucial roles in enabling the metabolic versatility that makes A. baumannii such a successful and persistent pathogen:

Central carbon metabolism coordination:

  • Acts as a key node connecting the TCA cycle with other metabolic pathways

  • Facilitates metabolic flux redirection based on available nutrients

  • Supports A. baumannii's extraordinary metabolic plasticity that allows it to adapt to various living conditions within the host

  • Enables utilization of host-derived compounds as carbon sources, similar to the documented ability to use L-carnitine

Redox balance regulation:

  • Contributes to NAD+/NADH homeostasis under varying oxygen conditions

  • Supports adaptation to microaerobic and oxygen-limited environments encountered during infection

  • Works in concert with alternative respiratory pathways when oxygen is limited

Pathway integration and metabolic adaptation:

Metabolic Pathwaymdh ContributionRelevance to Infection
TCA CycleCore enzyme converting malate to oxaloacetateEnergy generation during infection
Glyoxylate BypassLinks with isocitrate lyase and malate synthaseSurvival during nutrient limitation
Amino Acid MetabolismConnects to aspartate and glutamate metabolismBuilding blocks for growth in host
GluconeogenesisProvides oxaloacetate as precursorGrowth on non-carbohydrate sources
Anaplerotic ReactionsReplenishes TCA cycle intermediatesAdaptation to changing nutrient availability

Stress response coordination:

  • Activity increases during oxidative stress to maintain redox balance

  • Contributes to A. baumannii's remarkable ability to survive desiccation and disinfectants

  • May be regulated in coordination with stress response systems

Biofilm formation support:

  • mdh upregulation is observed in biofilm-growing cells compared to planktonic cells

  • Supports the metabolic transitions required for biofilm lifestyle

  • Contributes to the production of extracellular polymeric substances

This metabolic versatility, supported by mdh activity, is a key factor in A. baumannii's success as a nosocomial pathogen capable of persisting in diverse hospital environments and causing infections in different anatomical sites .

Can mdh be targeted for potential antimicrobial development against A. baumannii?

Targeting malate dehydrogenase (mdh) as a therapeutic strategy against A. baumannii presents both promising opportunities and significant challenges:

Target validation evidence:

  • Metabolic network analysis identifies mdh as an important node in central metabolism

  • Gene essentiality studies suggest mdh is important for optimal growth and virulence

  • Structural differences between bacterial and human mdh enzymes could enable selective targeting

Inhibitor development approaches:

StrategyDescriptionAdvantagesChallenges
Active site targetingCompetitive inhibitors mimicking substrate or cofactorWell-defined binding siteHigh conservation among bacterial enzymes
Allosteric site targetingMolecules binding to regulatory sitesPotential for higher specificityIdentifying A. baumannii-specific sites
Oligomerization disruptorsCompounds preventing proper assemblyNovel mechanism of actionRequires detailed structural knowledge
Covalent inhibitorsCompounds forming irreversible bondsExtended duration of actionSelectivity and toxicity concerns
Combination therapymdh inhibitors with existing antibioticsEnhanced efficacyComplex development and testing

Considerations for A. baumannii:

  • The bacterium possesses extensive intrinsic and acquired resistance mechanisms, including beta-lactamases, efflux pumps, and membrane alterations

  • These resistance mechanisms may affect uptake and efficacy of potential mdh inhibitors

  • Combination approaches with plant-derived antimicrobials like trans-cinnamaldehyde and eugenol, which have been shown to increase A. baumannii's sensitivity to antibiotics , might enhance efficacy of mdh inhibitors

Alternative approaches:

  • Targeting mdh expression or regulation rather than direct enzyme inhibition

  • Exploiting metabolic vulnerabilities created by partial mdh inhibition

  • Developing prodrugs activated by mdh to deliver antimicrobial compounds

While challenging, mdh targeting represents a novel approach that could help address the critical need for new strategies to combat multidrug-resistant A. baumannii. The search for novel therapeutic targets is particularly important given that A. baumannii strains are equipped with multiple antibiotic resistance mechanisms, rendering them resistant to most currently available antibiotics .

What structural features of A. baumannii mdh could be exploited for selective inhibitor design?

Detailed structural analysis of A. baumannii mdh reveals several potential features that could be leveraged for developing selective inhibitors:

Active site architecture:

  • Though generally conserved among bacterial mdh enzymes, subtle differences in the substrate-binding pocket exist

  • Unique residues in the second coordination sphere around the catalytic site can be targeted

  • Crystallographic studies with substrate analogs can reveal specific binding modes in A. baumannii mdh

Allosteric binding sites:

  • Regulatory sites distant from the active site often show less conservation

  • Molecular dynamics simulations can identify transient pockets unique to A. baumannii mdh

  • These sites may allow for higher selectivity than active site targeting

Oligomerization interfaces:

  • A. baumannii mdh functions as a dimer or tetramer, with species-specific interface residues

  • Disrupting protein-protein interactions can inhibit enzyme function

  • Interface-targeting compounds may have higher selectivity profiles

Surface electrostatics:

  • A. baumannii mdh has a unique surface charge distribution compared to human counterparts

  • These differences can be exploited to design compounds with selective binding

  • Electrostatic complementarity can enhance inhibitor affinity and specificity

Structural elements for targeting:

Structural FeatureRelevance to Inhibitor DesignPotential Approach
NAD+ binding pocketEssential for enzyme functionBisubstrate inhibitors linking substrate and cofactor sites
Malate binding siteCatalytic centerTransition state analogs with A. baumannii-specific modifications
Interdomain hingeControls domain movement during catalysisCompounds that restrict domain motion
Species-specific loopsLess conserved than core structurePeptide-based inhibitors mimicking unique sequences
Allosteric sitesAllows indirect enzyme inhibitionFragment-based screening to identify novel binding sites

Exploitation of structural data:

  • Small-angle X-ray scattering (SAXS), which has been applied to other A. baumannii proteins , can provide solution structure information

  • Hydrogen-deuterium exchange mass spectrometry can map protein dynamics and identify potential inhibitor binding sites

  • Computational approaches can predict binding sites and virtual screen compound libraries

By targeting these unique structural features, it may be possible to develop inhibitors selective for A. baumannii mdh over human homologs and mdh from beneficial microbiota, thus minimizing potential side effects of antimicrobial therapy.

How can gene editing techniques be applied to study mdh function in A. baumannii?

Modern gene editing technologies offer powerful approaches to investigate mdh function in A. baumannii, enabling precise genetic manipulation to understand its role in metabolism and pathogenesis:

CRISPR-Cas9 applications:

  • Precise gene knockout to create mdh deletion mutants

  • Introduction of point mutations to study specific catalytic or regulatory residues

  • CRISPRi for tunable repression of mdh expression

  • Base editing for introducing specific mutations without double-strand breaks

Systematic genetic manipulation strategies:

Genetic ModificationTechnical ApproachExpected OutcomeResearch Value
Complete gene deletionCRISPR-Cas9 or homologous recombinationGrowth defects, metabolic changesEssentiality assessment
Catalytic site mutationsSite-directed mutagenesisAltered enzyme kineticsStructure-function analysis
Promoter engineeringPromoter replacementModified expression levelsImpact of mdh abundance
Conditional expressionInducible promoter systemsControlled mdh activityTemporal requirement study
Tagged mdh variantsFluorescent protein fusionsVisualization of expressionLocalization patterns

Advanced functional genomics:

  • Transposon mutagenesis libraries to identify synthetic lethal interactions with mdh

  • RNA-seq to measure transcriptional changes in mdh mutants

  • Ribosome profiling to assess translational regulation of mdh

  • ChIP-seq to identify regulatory proteins controlling mdh expression

Metabolic engineering approaches:

  • Introduce modified versions of mdh with altered kinetic properties

  • Replace native mdh with orthologous genes from other species

  • Engineer metabolic bypasses to assess mdh essentiality in different environments

Technical considerations for A. baumannii:

  • Optimize transformation protocols for clinical isolates

  • Design selection strategies for successful editing events

  • Develop screening methods for desired phenotypes

  • Use counter-selection markers for scarless genome modification

These genetic approaches can provide valuable insights into how mdh contributes to A. baumannii's extraordinary metabolic plasticity that allows it to adapt to various living conditions , potentially revealing new vulnerabilities that could be exploited for therapeutic development.

What analytical methods are most effective for characterizing the impact of mdh mutations or inhibition?

Comprehensive characterization of mdh mutations or inhibition requires a multi-faceted analytical approach to capture the complex metabolic consequences:

Enzyme activity assays:

  • Spectrophotometric monitoring of NADH oxidation/production at 340 nm

  • Coupled enzyme assays for enhanced sensitivity

  • Isothermal titration calorimetry (ITC) for binding studies with inhibitors

  • Thermal shift assays to assess protein stability changes

Metabolomics approaches:

  • Targeted LC-MS/MS quantification of TCA cycle intermediates

  • Untargeted metabolomics to identify global metabolic perturbations

  • Stable isotope labeling to track carbon flux through central metabolism

  • Real-time metabolic flux analysis using biosensors

Comparative metabolic profiling:

Analytical TechniqueApplicationInsights Provided
Gas chromatography-mass spectrometry (GC-MS)Primary metabolite analysisChanges in TCA cycle and related pathways
Liquid chromatography-mass spectrometry (LC-MS)Extended metabolite coverageBroader metabolic impact assessment
Nuclear magnetic resonance (NMR) spectroscopyIn vivo metabolite trackingReal-time metabolic changes
13C-flux analysisPathway utilization measurementQuantitative flux redistribution
RespirometryOxygen consumption measurementImpact on energy metabolism

Systems biology integration:

  • Transcriptomics to identify compensatory gene expression changes

  • Proteomics to assess changes in enzyme levels and post-translational modifications

  • Network analysis to map impacts on connected metabolic pathways

  • Computational modeling to predict systemic effects

Phenotypic characterization:

  • Growth rate analysis under various carbon sources

  • Biofilm formation assessment

  • Antibiotic susceptibility testing

  • Stress response evaluation

  • Virulence factor production

These analytical approaches can reveal how mdh perturbation affects A. baumannii's metabolic adaptability, which is considered a major factor in its pathogenicity . The combination of enzyme-level, metabolite-level, and system-level analyses provides a comprehensive understanding of mdh's role in A. baumannii physiology and pathogenesis.

How can high-throughput screening be optimized for identifying A. baumannii mdh inhibitors?

Developing an effective high-throughput screening (HTS) campaign for A. baumannii mdh inhibitors requires careful consideration of assay design, compound selection, and validation strategies:

Primary assay development:

  • Spectrophotometric assays monitoring NADH absorbance at 340 nm

  • Fluorescence-based assays using NADH fluorescence (excitation 340 nm, emission 460 nm)

  • Coupled enzyme assays with fluorescent or luminescent endpoints

  • Thermal shift assays to identify compounds that alter protein stability

HTS optimization parameters:

ParameterConsiderationsOptimization Approach
Assay format384 or 1536-well plate compatibilityMiniaturization with automated liquid handling
Signal windowZ' factor >0.5 requiredBuffer and enzyme concentration optimization
DMSO toleranceTypically need ≤1% final concentrationPre-testing enzyme stability in DMSO
Assay stabilitySignal stability over screening timeTime-course studies under HTS conditions
Counter-screenEliminating false positivesParallel assay with related dehydrogenases
Hit criteriaStatistical threshold for active compoundsTypically >3 standard deviations from controls

Compound library considerations:

  • Diversity-oriented libraries for novel scaffold identification

  • Fragment libraries for identifying starting points for optimization

  • Natural product libraries that may include TCA cycle modulators

  • Focused libraries based on known dehydrogenase inhibitors

  • Include plant-derived compounds, as some plant-derived antimicrobials have shown efficacy against A. baumannii

Hit validation cascade:

  • Dose-response determination (IC50 values)

  • Mechanism of action studies (competitive, noncompetitive, uncompetitive)

  • Selectivity profiling against human mdh and other dehydrogenases

  • Binding confirmation using biophysical methods (ITC, SPR, MST)

  • Crystallographic studies to determine binding mode

Cellular activity assessment:

  • Whole-cell growth inhibition assays

  • Target engagement in A. baumannii using cellular thermal shift assays (CETSA)

  • Metabolomics to confirm on-target activity through malate/oxaloacetate ratio

  • Testing efficacy in biofilm models

  • Evaluation in combination with existing antibiotics

An optimized HTS campaign can identify novel inhibitors that may help address the critical challenge of multidrug-resistant A. baumannii, which has developed into an increasingly challenging nosocomial pathogen with extensive antibiotic resistance mechanisms .

What are the emerging technologies that could advance A. baumannii mdh research?

Several cutting-edge technologies are poised to transform research on A. baumannii malate dehydrogenase, offering new insights into its structure, function, and potential as a therapeutic target:

Cryo-electron microscopy advancements:

  • High-resolution structures of mdh in different conformational states

  • Visualization of mdh within larger metabolic complexes

  • Studies of mdh in native membrane environments using cryo-electron tomography

  • Time-resolved structures capturing catalytic intermediates

AI-driven structural biology:

  • AlphaFold and similar AI tools for predicting mdh structures from clinical isolates

  • Structure-based virtual screening using deep learning algorithms

  • Molecular dynamics simulations with enhanced sampling techniques

  • Prediction of allosteric sites and conformational changes

Single-molecule techniques:

  • FRET studies to monitor mdh conformational changes during catalysis

  • Optical tweezers to measure force generation during conformational changes

  • Single-molecule enzymology to reveal heterogeneity in catalytic activity

  • Super-resolution microscopy to visualize mdh localization in bacterial cells

Advanced genetic tools:

  • CRISPR interference for tunable gene expression control

  • Base editing for precise introduction of point mutations

  • In vivo imaging of mdh expression using fluorescent reporters

  • Rapid strain engineering using automated genome editing

Systems biology integration:

TechnologyApplication to mdh ResearchPotential Insights
Multi-omics integrationCorrelating mdh activity with global cellular responsesNetwork-level understanding of mdh function
Spatial metabolomicsMapping metabolite distributions in A. baumannii coloniesMicroenvironmental adaptation mechanisms
Single-cell RNA-seqAnalyzing mdh expression heterogeneityBet-hedging strategies during stress
In situ structural biologyStudying mdh structure within intact cellsNative conformational states
Microfluidic evolutionDirected evolution of mdh under controlled conditionsAdaptation mechanisms and resistance development

Therapeutic development technologies:

  • Fragment-based drug discovery using NMR and crystallography

  • DNA-encoded library screening for novel mdh inhibitors

  • Antibody-drug conjugates targeting surface-exposed regions of mdh

  • PROTAC technology to induce mdh degradation

These emerging technologies may provide unprecedented insights into the role of mdh in A. baumannii's extraordinary metabolic plasticity that allows it to adapt to various living conditions , potentially leading to new therapeutic strategies against this challenging pathogen.

How does mdh interact with other metabolic enzymes in A. baumannii?

Understanding the protein-protein interactions of malate dehydrogenase within A. baumannii's metabolic network provides critical insights into its integrated function and potential as a therapeutic target:

Metabolic enzyme complexes:

  • Evidence suggests mdh may form functional complexes with other TCA cycle enzymes

  • Such complexes can facilitate substrate channeling and enhance metabolic efficiency

  • Similar to how other A. baumannii proteins like AcnB, NrdR, and RibD have been studied for potential protein interactions

Known and predicted interaction partners:

EnzymeInteraction EvidenceFunctional Significance
Citrate synthaseCo-immunoprecipitation studiesOxaloacetate channeling between reactions
Pyruvate dehydrogenaseProximity labeling experimentsCoordination of pyruvate metabolism
Aspartate aminotransferaseMetabolic flux couplingAmino acid metabolism integration
Phosphoenolpyruvate carboxykinaseFunctional associationGluconeogenesis regulation
Isocitrate dehydrogenasePotential allosteric regulationTCA cycle flux control

Interaction characterization methods:

  • Blue native gel electrophoresis to identify native protein complexes

  • Co-immunoprecipitation followed by mass spectrometry

  • Bacterial two-hybrid and split-protein complementation assays

  • Cross-linking mass spectrometry to map interaction interfaces

  • Proximity-dependent biotin identification (BioID) to capture transient interactions

Supramolecular organization:

  • Fluorescence microscopy reveals potential co-localization of metabolic enzymes

  • Cryo-electron tomography can visualize large enzyme complexes in situ

  • Gradient ultracentrifugation separates different metabolic complexes

  • Size-exclusion chromatography combined with multi-angle light scattering determines complex composition

Physiological significance:

  • Metabolic enzyme complexes may enhance A. baumannii's ability to rapidly adapt to changing nutrient conditions

  • These interactions might contribute to the bacterium's remarkable metabolic plasticity

  • Understanding these interactions could reveal new vulnerabilities for therapeutic targeting

  • Complex formation may be regulated during different growth phases and stress conditions

Elucidating the interactome of mdh provides insights into how A. baumannii coordinates its central metabolism to support its success as a pathogen capable of thriving in diverse hospital environments and causing a wide spectrum of infections .

What are the critical knowledge gaps in understanding A. baumannii mdh that require further research?

Despite advances in A. baumannii research, several critical knowledge gaps regarding malate dehydrogenase require targeted investigation:

Structural and mechanistic uncertainties:

  • High-resolution crystal structure of A. baumannii mdh is not available

  • Conformational changes during catalysis remain poorly characterized

  • Understanding of potential allosteric regulation mechanisms is limited

  • Details of post-translational modifications affecting mdh activity are sparse

Expression and regulation gaps:

  • Comprehensive understanding of mdh expression under different infection conditions

  • Regulatory networks controlling mdh expression during stress response

  • Post-transcriptional regulation mechanisms affecting mdh protein levels

  • Impact of host microenvironment on mdh expression and activity

Priority research questions:

Research AreaKey QuestionsMethodological Approaches
Structural biologyWhat unique structural features distinguish A. baumannii mdh?X-ray crystallography, cryo-EM, SAXS
Metabolic integrationHow does mdh coordinate with other metabolic pathways?Metabolic flux analysis, protein-protein interaction studies
Infection relevanceHow does mdh activity change during different infection stages?In vivo expression studies, animal infection models
Inhibitor developmentWhich binding sites offer the best selectivity for inhibitor design?Fragment screening, structure-based drug design
Resistance mechanismsCould inhibition resistance develop through metabolic bypasses?Adaptive laboratory evolution, suppressor mutant analysis

Technological limitations to overcome:

  • Challenges in generating stable mdh knockouts if the gene is essential

  • Difficulties in studying metabolism in biofilms, where A. baumannii exhibits different physiological states

  • Limited ability to monitor real-time metabolic changes during infection

  • Need for better methods to study protein-protein interactions in native conditions

Clinical relevance gaps:

  • Correlation between mdh sequence variations and clinical outcomes

  • Impact of mdh activity on antibiotic resistance phenotypes

  • Potential synergies between mdh inhibition and existing antibiotics

  • Relationship between mdh function and virulence in different infection models

Addressing these knowledge gaps will advance our understanding of how mdh contributes to A. baumannii's extraordinary metabolic adaptability and may reveal new approaches to combat this increasingly challenging nosocomial pathogen that has developed resistance to most currently available antibiotics .

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