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Kari, J.

Publications and source records attributed to Kari, J..

4 recordsLinked to original sources

Generalizing Michaelis-Menten Theory to Account for Substrate Heterogeneity

Enzymes are typically analyzed under the assumption of homogeneous substrates, yet many biological, biotechnological, and industrial reactions involve chemically or physically heterogeneous substrates. Here we present a theoretical framework showing that mixtures of non-identical substrates at steady state still follow the Michaelis-Menten (MM) rate law, yielding apparent parameters [Formula] that depend on the mean and variance of the underlying energy distributions. This mathematical identity with the classical MM form can bias interpretation of fitted parameters and conceal mechanistic diversity. We show that variance in substrate energetics can shift [Formula] and [Formula] as strongly as changes in mean binding or activation energies, making substrate heterogeneity an independent but hidden design axis. Numerical simulations of 500 coupled Michaelis-Menten reactions--each representing a distinct substrate--validated the closed-form expressions for the apparent parameters. Analysis of 43220 curated BRENDA entries quantified the kinetic spread in enzymology, and our framework shows that realistic substrate heterogeneity gives comparable variability. Our framework extends the MM theory to heterogeneous substrates by adding a single, physically interpretable variance term to the classical equations. This enables inference of hidden heterogeneity from bulk fits and positions substrate pretreatment as a complementary optimization axis alongside conventional enzyme engineering for enzymes acting on heterogeneous substrates.

biochemistry↗

Interrelationship of substrate crystallinity, enzyme binding strength, and cellulase activity

Structural polysaccharides are difficult to degrade due to their crystalline structure. Hence, industrial conversion of biomass has focused on both substrate pretreatment and enzyme engineering to improve the biochemical conversion of biomass into fuels and chemicals. However, few studies have explored the interrelationship between substrate crystallinity and cellulase activity. Here, we systematically investigated the kinetics of structurally diverse cellulases on five cellulosic substrates with varying crystallinity. Regardless of enzyme structure and catalytic mechanism, we observed a linear scaling of the kinetic parameters (KM and kcat) in a log-log plot, indicating a linear free energy relationship (LFER) between binding and activation energy. LFERs were observed for all investigated substrates, but their slopes varied distinctly and appeared linked to the substrate crystallinity. Substrates with low crystallinity exhibited LFERs with a slope near 1, while highly crystalline substrates had a slope of approximately 0.25, providing insights into the transition state (TS) for the rate-limiting step. We propose that maximal turnover was limited by slow dissociation, with the TS structurally close to the enzyme-ligand complex on crystalline substrate, while on amorphous substrate, the TS structure was closer to the dissociated system. We suggest that these observations reflect competing interactions of the ligand with respectively the enzyme binding cleft and the substrate matrix. This study emphasizes the interconnected nature of substrate pretreatment and enzyme engineering, urging a holistic approach to propel the biochemical conversion of lignocellulosic biomass, crucial for advancing sustainable production of fuels and chemicals.

biochemistry↗

Sabatier principle for rationalizing enzymatic hydrolysis of a synthetic polyester

Interfacial enzyme reactions are common in nature and in industrial settings, including the enzymatic deconstruction of poly(ethylene terephthalate) (PET) waste. Kinetic descriptions of PET hydrolases are necessary for both comparative analyses, discussions of structure-function relations and rational optimization of technical processes. We investigated whether the Sabatier principle could be used for this purpose. Specifically, we compared the kinetics of two well-known PET hydrolases, leaf-branch compost cutinase (LCC) and a cutinase from the bacterium T. fusca (TfC) when adding different concentrations of the surfactant cetyltrimethylammonium bromide (CTAB). We found that CTAB consistently lowered the strength of enzyme-PET interactions, while its effect on enzymatic turnover was strongly biphasic. Thus, at gradually increasing CTAB concentrations, turnover was initially promoted and subsequently suppressed. This correlation with maximal turnover at an intermediate binding strength is in accordance with the Sabatier principle. One consequence of these results is that both enzymes had too strong intrinsic interaction with PET for optimal turnover, especially TfC, which showed a 20-fold improvement of kcat at the maximum. LCC on the other hand had an intrinsic substrate affinity closer to the Sabatier optimum and the turnover rate was 5-fold improved at weakened substrate binding. Our results show that the Sabatier principle may indeed rationalize enzymatic PET degradation and support process optimization. Finally, we suggest that future discovery efforts should consider enzymes with weakened substrate binding, since strong adsorption seems to limit their catalytic performance. ToC graphics O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

biochemistry↗

Physical constrains and functional plasticity of cellulases: Linear scaling relationships for a heterogeneous enzyme reaction

Enzyme reactions, both in Nature and technical applications, commonly occur at the interface of immiscible phases. Nevertheless, stringent descriptions of interfacial enzyme catalysis remain sparse, and this is partly due to a shortage of coherent experimental data to guide and assess such work. We have produced and kinetically characterized 83 cellulases, which revealed a conspicuous linear free energy relationship (LFER) between the strength of substrate binding and the activation barrier. This common scaling occurred despite the investigated enzymes were structurally and mechanistically diverse. We suggest that the scaling reflects basic physical restrictions of the hydrolytic process and that evolutionary selection have condensed cellulase phenotypes near the line. One consequence of the LFER is that the activity of a cellulase can be estimated from substrate binding strength, irrespectively of structural and mechanistic details, and this appears promising for in silico selection and design within this industrially important group of enzymes. On a more general note, the LFER may identify a link to inorganic heterogeneous catalysis, and hence open for the implementation of approaches from this field within interfacial enzymology.

biochemistry↗