Biology subjects

van der Kamp, M. W.

Publications and source records attributed to van der Kamp, M. W..

16 recordsLinked to original sources

bioRxiv2026

Rapid classification of β-lactamase activity through AI-based structure prediction and electric field analysis

Antibiotic resistance driven by {beta}-lactamases has become a major threat to public health. Here, we propose a computational protocol for rapid estimation of {beta}-lactamase activity towards carbapenem antibiotics from sequence alone. Starting from AI-predicted acylenzyme complexes, only approximate transition state ensembles are sampled to compute catalytic electric fields, which strongly correlate with experimental activation barriers (R2 = 0.8). Compared with full quantum mechanics/molecular mechanics (QM/MM) reaction simulations, the protocol substantially reduces the amount of configurational sampling and thus computational cost. Our protocol enables efficient identification of carbapenem breakdown efficiency, further highlighting the important role of electric fields in enzyme catalysis.

biochemistry↗

bioRxiv2026

Machine learned potentials with electrostatic embedding accurately capture Kemp eliminase reactivity

Kemp elimination has become a benchmark for de novo enzyme design due to its simplicity and detailed mechanistic understanding but accurate barrier calculations are required to understand the difference in activity between designed Kemp eliminases. QM/MM MD simulations are capable of calculating reaction barriers, but are limited by a cost/accuracy tradeoff in which the most accurate methods are too computationally expensive for extensive screening as would be required in a prospective enzyme design campaign. Recent advances in embedded ML/MM simulations using the electrostatic machine learning embedding (EMLE) method have enabled transferable potentials for ML/MM MD simulations with low computational cost but QM-level accuracy. Here, we trained a MACE MLIP and EMLE embedding model for fast and accurate simulations of the enzymatic, base-catalysed Kemp elimination of 6-nitro benzisoxazole. Applying our EMLE ML/MM scheme to a designed Kemp eliminase and its evolved counterpart captured the {approx}4 kcal/mol difference in barrier between the two observed in experiment. Furthermore, training was done using structures generated from simulations of a single variant and was applied to the second variant, achieving near-experimental barriers, with no further finetuning or computational overhead. Thus, this work establishes EMLE-based ML/MM MD simulations as a potential route for fast and accurate assessment of barriers in computational screening for enzyme design.

biochemistry↗

bioRxiv2026

Acyl-enzyme dynamics, tautomerisation and hydration regulate turnover of carbapenem antibiotics by the OXA-48 β-lactamase

OXA-48 is a globally disseminated class D serine {beta}-lactamase that efficiently confers resistance to a range of {beta}-lactam antibiotics, including carbapenems, the most potent such agents versus Enterobacterales (Escherichia coli and relatives). Here we characterise the interactions of OXA-48 with the acyl-enzyme complex intermediates formed on its reaction with the carbapenems meropenem and ertapenem using X-ray crystallography and molecular dynamics (MD) simulations. X-ray crystal structures identify acyl-enzymes in both the {Delta}1-imine and {Delta}2-enamine pyrroline tautomeric forms. MD simulations show the epimeric {Delta}2 tautomers of meropenem and ertapenem to more frequently adopt binding poses competent for hydrolysis, i.e. with an appropriate orientation of the carbapenem 6-hydroxyethyl group and positioning of the water molecule required for deacylation; the results indicate that the {Delta}2 tautomers are preferred for deacylation over the {Delta}1-tautomer. MD simulations based on the crystal structures show that, compared to OXA-48, acyl-enzyme complexes of OXA-519 (a natural OXA-48 variant with a single Val120Leu substitution adjacent to the catalytic general base) more frequently sampled conformations favouring hydrolysis, or formation of the alternative {beta}-lactone deacylation product. MD simulations of complexes derived from quantum mechanics/molecular mechanics (QM/MM) simulations show the meropenem-derived {beta}-lactone product is better retained in the OXA-48 active site than hydrolysed meropenem, consistent with reversible {beta}-lactone formation. Overall, our results demonstrate how acyl-enzyme tautomerisation, dynamics and hydration collectively modulate degradation of 1{beta}-methyl carbapenems by class D {beta}-lactamases of the OXA-48 group, and how subtle changes in active site structure potentiate such effects in the OXA-519 variant.

biochemistry↗

bioRxiv2026

Hydrogen-bonding changes cause differences in imipenem breakdown activity in OXA-48 variants

The {beta}-lactamase OXA-48 efficiently hydrolyses carbapenem antibiotics, especially imipenem. Carbapenem resistance is a rising clinical concern, and is frequently associated with OXA-48 and its variants. OXA-48 variants carrying different mutations in the {beta}5-{beta}6 loop differ in hydrolytic activity towards imipenem. OXA-517 has a higher KM, but similar kcat for imipenem hydrolysis, compared to OXA-48, whereas OXA-163 and -405, which have similar mutations in the {beta}5-{beta}6 loop, are less active. Multiscale simulations (using quantum mechanics/molecular mechanics, QM/MM) of deacylation of the respective imipenem acylenzymes show this to be most efficient when the deacylating water (DW) acts as a hydrogen bond (H-bond) donor to imipenem, and the carboxylated Lys73 base is less hydrated. Calculated barriers for deacylation correlate very well with experimental data, but for OXA-163 and -405 only when DW acts as a H-bond acceptor. Dynamics simulations of imipenem acylenzyme complexes show that mutations in the {beta}5-{beta}6 loop change the active site H-bond network. In OXA-48, the DW H-bonding pattern linked to high activity is more frequently sampled, and in OXA-517 it is stabilised through H-bonding to Thr213; explaining the higher kcat values compared to OXA-163 and -405, where this is not the case. Furthermore, simulations of non-covalent imipenem complexes indicate that increased KM for OXA-517 is linked to lower binding affinity, caused by repositioning of bound imipenem. Our work identifies the molecular basis for differences in imipenem hydrolytic activity between OXA-48 variants, offering detailed insights into how active site interactions alter the dynamics and reaction efficiencies related to antibiotic resistance.

biochemistry↗

bioRxiv2025

Correlated dynamics, reactive conformations and non-Arrhenius behaviour in the temperature-dependence of enzyme activity: triosephosphate isomerase

Heat capacity changes are increasingly recognised as crucial for understanding the temperature dependence of enzyme-catalysed reaction rates. Here, we combine experiments and molecular dynamics simulations to investigate triosephosphate isomerase (TIM, TPI) from psychrophilic, mesophilic and thermophilic organisms. Kinetic data show clear curvature in rate-temperature plots, particularly for the cold-adapted enzyme, independent of unfolding. This non-Arrhenius behaviour is accounted for by Macromolecular Rate Theory (MMRT), implying an activation heat capacity, largest for the psychrophile. Simulations reveal the molecular origins of these differences, showing significant conformational and dynamical changes between reactant and transition states in the cold-adapted enzyme, with a smaller activation heat capacity in the mesophilic enzyme, and near-zero for the thermophile. Transition-state-like conformations and reorganized correlated dynamics underlie these adaptations. These results demonstrate that dynamical differences between crucial states along the reaction pathway play a key role in determining the optimum temperature of activity for this archetypal enzyme.

biochemistry↗

bioRxiv2025

Influence of Disease-Causing Mutations and Ivacaftor on the Dynamics of the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) Protein

Cystic fibrosis (CF), one of the most common life-shortening autosomal recessive diseases, arises from mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene and leads to severe respiratory and digestive dysfunction. CFTR-targeting therapies such as ivacaftor have transformed CF care by directly modulating CFTR function. However, the precise mechanism by which ivacaftor alters CFTRs conformational dynamics remains incompletely understood. In this study, we refined and employed a CFTR model derived from the phosphorylated, ATP- and ivacaftor-bound cryo-EM structure (PDB ID 6O2P). Through 32.5 s of molecular dynamics simulations, we investigated the structural and dynamic effects of the common F508del mutation and the gating mutations G551D, G1349D and S549N. Our results show that mutations within the ATP-binding regions cause local rearrangements at the nucleotide-binding sites, affecting the interface between the nucleotide-binding domains (NBDs) relative to wild-type CFTR, rather than abolishing ATP binding entirely. We further indicate that, for the NBDs to approach one another productively, protonation of the aspartate side chains in G551D and G1349D CFTR is necessary to mitigate charge repulsion. The F508del mutation induces increased rigidity within the protein core, impeding the rearrangement of transmembrane helices required for channel opening. Ivacaftor does not directly perturb the ATP-binding sites, consistent with emerging evidence that it exerts its effects allosterically on regions distal to the nucleotide-binding sites. Collectively, our findings enhance our understanding of CFTR dynamics and provide a versatile framework for exploring the molecular effects of disease-causing mutations and evaluating potential therapeutic agents.

biochemistry↗

bioRxiv2025

Mechanistic Basis for Inhibition of the Extended Spectrum Class A b-Lactamase GES-1 by Tazobactam and Enmetazobactam

Expression of {beta}-lactamases is the primary form of {beta}-lactam antibiotic resistance in Gram-negative bacteria. Enmetazobactam is a penicillanic acid sulfone (PAS) that inhibits extended spectrum {beta}-lactamases (ESBLs) by forming an acyl-enzyme complex that eventually breaks down to an irreversible lysinoalanine crosslink. In contrast, enmetazobactam inhibits the class A carbapenemase KPC-2 via an acyl-enzyme that does not lead to lysinoalanine crosslink formation. This difference correlates with greater inhibitory potency of enmetazobactam against class A ESBLs, compared to carbapenemases. The GES enzymes, unlike other class A {beta}-lactamase families, show progression from carbapenem-inhibited to carbapenem-hydrolysing phenotypes through single point mutations. We present crystal structures of GES-1, a globally disseminated ESBL, as the enmetazobactam- and tazobactam-derived acyl-enzymes. The complexes differ in the identities of their respective covalent adducts, with the catalytic Ser70 acylated by a 214 Da enmetazobactam-derived fragment, whereas tazobactam has fragmented to a 70 Da aldehyde. The tautomeric form of the enmetazobactam-derived ligand is verified by high-level QM/MM calculations, revealing the trans-enamine as the most thermodynamically stable tautomer, that adopts an optimised conformation that best matches the experimentally observed electron density appended to the side chain oxygen of Ser70. In contrast to previous findings for the ESBL CTX-M-15, mass spectrometry provides no evidence for lysinoalanine crosslink formation on reaction of GES-1 with (enme)tazobactam, providing further evidence that PAS inhibitors inhibit different class A {beta}-lactamases by different mechanisms. This work reveals new details of the basis for PAS inhibition of diverse {beta}-lactamases, and will guide development of future {beta}-lactamase inhibitors.

biochemistry↗

bioRxiv2024

Delineation of the Complete Reaction Cycle of a Natural Diels-Alderase

The Diels-Alder reaction is one of the most effective methods for the synthesis of substituted cyclohexenes. The development of protein catalysts for this reaction remains a major priority, affording new sustainable routes to high value target molecules. Whilst a small number of natural enzymes have been shown capable of catalysing [4+2] cycloadditions, there is a need for significant mechanistic understanding of how these prospective Diels-Alderases promote catalysis to underpin their development as biocatalysts for use in synthesis. Here we present a molecular description of the complete reaction cycle of the bona fide natural Diels-Alderase AbyU, which catalyses formation of the spirotetronate skeleton of the antibiotic abyssomicin C. This description is derived from X-ray crystallographic studies of AbyU in complex with a non-transformable synthetic substrate analogue, together with transient kinetic analyses of the AbyU catalysed reaction and computational reaction simulations. These studies reveal the mechanistic intricacies of this enzyme system and establish a foundation for the informed reengineering of AbyU and related biocatalysts.

biochemistry↗

bioRxiv2023

Electric fields determine carbapenemase activity in class A β-lactamases

Antimicrobial resistance is a public health crisis. Limited understanding of the catalytic drivers in resistance-mediating enzymes such as {beta}-lactamases hinders our ability to combat this crisis. Here, we dissect the catalytic contributions of active-site electric fields in class A {beta}-lactamases. We studied the enzymatic hydrolysis of a carbapenem antibiotic by QM/MM molecular dynamics simulations and quantified active-site fields with a custom-made script. We discovered that the fields correlate well with activity and identified seven positions, some distal, that distinguish efficient carbapenemases. Electric-field analysis may help predict the activity of {beta}-lactamases and guide antibiotic and enzyme design. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/565607v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@15ee41aorg.highwire.dtl.DTLVardef@d1a11corg.highwire.dtl.DTLVardef@a83bd7org.highwire.dtl.DTLVardef@f0abdf_HPS_FORMAT_FIGEXP M_FIG C_FIG Electric field script: www.github.com/bunzela/FieldTools

biochemistry↗

bioRxiv2023

Cooperative conformational transitions and the temperature dependence of enzyme catalysis

Many enzymes display non-Arrhenius behaviour with curved Arrhenius plots in the absence of denaturation. There has been significant debate about the origin of this behaviour and recently the role of the activation heat capacity [Formula] has been widely discussed. If enzyme-catalysed reactions occur with appreciable negative values of [Formula] (arising from narrowing of the conformational space along the reaction coordinate), then curved Arrhenius plots are a consequence. To investigate these phenomena in detail, we have collected high precision temperature-rate data over a wide temperature interval for a model glycosidase enzyme MalL, and a series of mutants that change the temperature-dependence of the enzyme-catalysed rate. We use these data to test a range of models including macromolecular rate theory (MMRT) and an equilibrium model. In addition, we have performed extensive molecular dynamics (MD) simulations to characterise the conformational landscape traversed by MalL in the enzyme-substrate complex and an enzyme-transition state complex. We have crystallised the enzyme in a transition state-like conformation in the absence of a ligand and determined an X-ray crystal structure at very high resolution (1.10 [A]). We show (using simulation) that this enzyme-transition state conformation has a more restricted conformational landscape than the wildtype enzyme. We coin the term "transition state-like conformation (TLC)" to apply to this state of the enzyme. Together, these results imply a cooperative conformational transition between an enzyme-substrate conformation (ES) and a transition-state-like conformation (TLC) that precedes the chemical step. We present a two-state model as an extension of MMRT (MMRT-2S) that describes the data along with a convenient approximation with linear temperature dependence of the activation heat capacity (MMRT-1L) that can be used where fewer data points are available. Our model rationalises disparate behaviour seen for MalL and a thermophilic alcohol dehydrogenase and is consistent with a raft of data for other enzymes. Our model can be used to characterise the conformational changes required for enzyme catalysis and provides insights into the role of cooperative conformational changes in transition state stabilisation that are accompanied by changes in heat capacity for the system along the reaction coordinate. TLCs are likely to be of wide importance in understanding the temperature dependence of enzyme activity, and other aspects of enzyme catalysis.

biochemistry↗

bioRxiv2023

Epistasis Arises from Shifting the Rate-Limiting Step during Enzyme Evolution

The molecular mechanisms by which epistasis boosts enzyme activity remain elusive, undermining our ability to predict the evolution of pathogens and engineer novel biocatalysts. Here, we reveal how directed evolution of a {beta}-lactamase yielded highly epistatic activity enhancements. Evolution selected four mutations that increase antibiotic resistance 40-fold, despite their marginal individual effects ([≤] 2-fold). Synergistic improvements coincided with the introduction of super-stochiometric burst kinetics, indicating that epistasis is rooted in the enzymes conformational dynamics. Kinetic, structural, and dynamical analyses reveal that epistasis was driven by distinct effects of each mutation on the catalytic cycle. The first mutation acquired during evolution increases protein flexibility and accelerates substrate binding, which is rate-limiting in the wild-type enzyme. The ensuing mutations predominantly boosted the chemical steps by fine-tuning substrate interactions. Our work identifies an overlooked cause for epistasis: changing the rate-limiting step can result in substantial positive synergy boosting enzyme activity.

evolutionary biology↗

bioRxiv2021

Rigidifying a de novo enzyme increases activity and induces a negative activation heat capacity

Conformational sampling profoundly impacts the overall activity and temperature dependence of enzymes. Peroxidases have emerged as versatile platforms for high value biocatalysis owing to their broad palette of potential biotransformations. Here, we explore the role of conformational sampling in mediating a de novo peroxidases activity. We demonstrate that 2,2,2-triflouoroethanol (TFE) affects the equilibrium of enzyme conformational states, tending towards a more globally rigid structure. This is correlated with increases both stability and activity. Notably, these effects are concomitant with the emergence of curvature in the temperature-activity profile, trading off activity gains at ambient temperature with losses at high temperatures. We apply macromolecular rate theory (MMRT) to understand enzyme temperature dependence data. These data point to an increase in protein rigidity associated with a difference in the distribution of protein dynamics between the ground and transition state. We compare the thermodynamics of the de novo enzyme activity to those of a natural peroxidase, horseradish peroxidase. We find that the native enzyme resembles the rigidified de novo enzyme in terms of the thermodynamics of enzyme catalysis and the putative distribution of protein dynamics between the ground and transition state. The addition of TFE apparently causes C45 to behave more like the natural enzyme. Our data suggest robust, generic strategies for improving biocatalytic activity by manipulating protein rigidity; for functional de novo protein catalysts in particular, this can provide more enzyme-like catalysts without further rational engineering, computational redesign or directed evolution.

biochemistry↗

bioRxiv2020

Cryptic β-lactamase evolution is driven by low β-lactam concentrations

Our current understanding of how low antibiotic concentrations shape the evolution of contemporary {beta}-lactamases is limited. Using the wide-spread carbapenemase OXA-48, we tested the long-standing hypothesis that selective compartments with low antibiotic concentrations cause standing genetic diversity that could act as a gateway to develop clinical resistance. Here, we subjected Escherichia coli expressing blaOXA-48, on a clinical plasmid, to experimental evolution at sub-minimum inhibitory concentrations (sub-MIC) of ceftazidime. We identified and characterized seven single variants of OXA-48. Susceptibility profiles and dose-response curves showed that they increased resistance only marginally. However, in competition experiments at sub-MIC of ceftazidime, they showed strong selectable fitness benefits. Increased resistance was also reflected in elevated catalytic efficiencies towards ceftazidime. These changes are likely caused by enhanced flexibility of the {Omega}- and {beta}5-{beta}6 loops. In conclusion, low-level concentrations of {beta}-lactams can drive the evolution of {beta}-lactamases through cryptic phenotypes which may act as stepping-stones towards clinical resistance.

evolutionary biology↗

bioRxiv2020

Evolution of dynamical networks enhances catalysis in a designer enzyme

Activation heat capacity is emerging as a crucial factor in enzyme thermoadaptation, as shown by non-Arrhenius behaviour of many natural enzymes1,2. However, its physical origin and relationship to evolution of catalytic activity remain uncertain. Here, we show that directed evolution of a computationally designed Kemp eliminase introduces dynamical changes that give rise to an activation heat capacity absent in the original design3. Extensive molecular dynamics simulations show that evolution results in the closure of solvent exposed loops and better packing of the active site with transition state stabilising residues. Remarkably, these changes give rise to a correlated dynamical network involving the transition state and large parts of the protein. This network tightens the transition state ensemble, which induces an activation heat capacity and thereby nonlinearity in the temperature dependence. Our results have implications for understanding enzyme evolution (e.g. in explaining the role of distal mutations and evolutionary tuning of dynamical responses) and suggest that integrating dynamics with design and evolution will accelerate the development of efficient novel enzymes.

biochemistry↗

bioRxiv2020

Variability in mitochondrial import, mitochondrial health and mtDNA copy number using Type II and Type V CRISPR effectors

Current methodologies for targeting the mitochondrial genome for basic research and/or therapeutic strategy development in mitochondrial diseases are restricted by practical limitations and technical inflexibility. The development of a functional molecular toolbox for CRISPR-mediated mitochondrial genome editing is therefore desirable, as this could enable precise targeting of mtDNA haplotypes using the precision and tuneability of CRISPR enzymes; however, published reports of "MitoCRISPR" systems have, to date, lacked reproducibility and independent corroboration. Here, we have explored the requirements for a functional MitoCRISPR system in human cells by engineering several versions of CRISPR nucleases, including the use of alternative mitochondrial protein targeting sequences and smaller paralogues, and the application of gRNA modifications that reportedly induce mitochondrial import. We demonstrate varied mitochondrial targeting efficiencies and influences on mitochondrial dynamics/function of different CRISPR nucleases, with Lachnospiraceae bacterium ND2006 (Lb) Cas12a being better targeted and tolerated than Cas9 variants. We also provide evidence of Cas9 gRNA association with mitochondria in HeLa cells and isolated yeast mitochondria, even in the absence of a targeting RNA aptamer. Finally, we present evidence linking mitochondrial-targeted LbCas12a/crRNA with increased mtDNA copy number dependent upon DNA binding and cleavage activity. We discuss reproducibility issues and the future steps necessary if MitoCRISPR is to be realised.

molecular biology↗

bioRxiv2017

Dynamical origins of heat capacity changes in enzyme catalysed reactions

Heat capacity changes are emerging as essential for explaining the temperature dependence of enzyme-catalysed reaction rates. This has important implications for enzyme kinetics, thermoadaptation and evolution, but the physical basis of these heat capacity changes is unknown. Here we show by a combination of experiment and simulation, for two quite distinct enzymes (dimeric ketosteroid isomerase and monomeric alpha-glucosidase), that the activation heat capacity change for the catalysed reaction can be predicted through atomistic molecular dynamics simulations. The simulations reveal subtle and surprising underlying dynamical changes: tightening of loops around the active site is observed as expected, but crucially, changes in energetic fluctuations are evident across the whole enzyme including important contributions from oligomeric neighbours and domains distal to the active site. This has general implications for understanding enzyme catalysis and demonstrating a direct connection between functionally important microscopic dynamics and macroscopically measurable quantities.

biochemistry↗