Abstract:Summary
G6PD deficiency, an enzymopathy affecting 7% of the world population, is caused by over 160 identified amino acid variants in glucose-6-phosphate dehydrogenase (G6PD). The clinical presentation of G6PD deficiency is diverse, likely due to the broad distribution of variants across the protein and the potential for multidimensional biochemical effects. In this study, we use bioinformatic and biochemical analyses to interpret the relationship between G6PD variants and their clinical phenotype. Using struc… Show more
“…, α L ) is the amino-acid sequence considered, L is its length, and ∆ l (α l ) is the mutational effect on the trait T of a mutation to amino acid α l at site l. Mutational effects can be measured with respect to a reference sequence α 0 , satisfying ∆ l (α 0 l ) = 0 for all l. Eq. 1 is very general as it amounts to saying that, to lowest order, mutations have an additive effect on the trait T , which can be any relevant physical property of the protein, say its binding affinity, catalytic activity, or thermal stability [12]. System-specific details are encoded by the single-site mutational effects ∆ l (α l ), which can be measured experimentally.…”
Statistical analysis of alignments of large numbers of protein sequences has revealed “sectors” of collectively coevolving amino acids in several protein families. Here, we show that selection acting on any functional property of a protein, represented by an additive trait, can give rise to such a sector. As an illustration of a selected trait, we consider the elastic energy of an important conformational change within an elastic network model, and we show that selection acting on this energy leads to correlations among residues. For this concrete example and more generally, we demonstrate that the main signature of functional sectors lies in the small-eigenvalue modes of the covariance matrix of the selected sequences. However, secondary signatures of these functional sectors also exist in the extensively-studied large-eigenvalue modes. Our simple, general model leads us to propose a principled method to identify functional sectors, along with the magnitudes of mutational effects, from sequence data. We further demonstrate the robustness of these functional sectors to various forms of selection, and the robustness of our approach to the identification of multiple selected traits.
“…, α L ) is the amino-acid sequence considered, L is its length, and ∆ l (α l ) is the mutational effect on the trait T of a mutation to amino acid α l at site l. Mutational effects can be measured with respect to a reference sequence α 0 , satisfying ∆ l (α 0 l ) = 0 for all l. Eq. 1 is very general as it amounts to saying that, to lowest order, mutations have an additive effect on the trait T , which can be any relevant physical property of the protein, say its binding affinity, catalytic activity, or thermal stability [12]. System-specific details are encoded by the single-site mutational effects ∆ l (α l ), which can be measured experimentally.…”
Statistical analysis of alignments of large numbers of protein sequences has revealed “sectors” of collectively coevolving amino acids in several protein families. Here, we show that selection acting on any functional property of a protein, represented by an additive trait, can give rise to such a sector. As an illustration of a selected trait, we consider the elastic energy of an important conformational change within an elastic network model, and we show that selection acting on this energy leads to correlations among residues. For this concrete example and more generally, we demonstrate that the main signature of functional sectors lies in the small-eigenvalue modes of the covariance matrix of the selected sequences. However, secondary signatures of these functional sectors also exist in the extensively-studied large-eigenvalue modes. Our simple, general model leads us to propose a principled method to identify functional sectors, along with the magnitudes of mutational effects, from sequence data. We further demonstrate the robustness of these functional sectors to various forms of selection, and the robustness of our approach to the identification of multiple selected traits.
“…However, the main question is whether the poor enzyme activity of the G6PD mutants in a relatively long-lived non-nucleate cell is due to instability of the active form or if they are kinetically defective [16]. In this regard, Cunningham et al [32] demonstrated that the clinical phenotypes of G6PD variants were largely determined by a trade-off between protein stability and catalytic activity by using a multidimensional analysis of biochemical data.…”
Section: Analysis Of the Stability Of The G6pd Enzymesmentioning
G6PD deficiency is the most common enzymopathy, leading to alterations in the first step of the pentose phosphate pathway, which interferes with the protection of the erythrocyte against oxidative stress and causes a wide range of clinical symptoms of which hemolysis is one of the most severe. The G6PD deficiency causes several abnormalities that range from asymptomatic individuals to more severe manifestations that can lead to death. Nowadays, only 9.2% of all recognized variants have been related to clinical manifestations. It is important to understand the molecular basis of G6PD deficiency to understand how gene mutations can impact structure, stability, and enzymatic function. In this work, we reviewed and compared the functional and structural data generated through the characterization of 20 G6PD variants using different approaches. These studies showed that severe clinical manifestations of G6PD deficiency were related to mutations that affected the catalytic and structural nicotinamide adenine dinucleotide phosphate (NADPH) binding sites, and suggests that the misfolding or instability of the 3D structure of the protein could compromise the half-life of the protein in the erythrocyte and its activity.
“…[9] Products of the PPP are important for the biosynthesis of nucleotides and fatty acids. [11] For example, mutations affecting the homodimer interface of G6PD are particularly pathogenic, as only the homodimerica nd homotetrameric oligomers of G6PD are stable and activei nvivo. Despite the critical role G6PD plays in the cell, G6PD deficiencyi st he second most commonh uman enzymopathy;m ore than 160 single-nucleotide substitutions that alter enzymatic activity and/ors tability have been identified in humans.…”
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confidence: 99%
“…[10] Missense mutations result in av ariety of clinicalp henotypesd epending on the naturea nd location of the mutation. [11] For example, mutations affecting the homodimer interface of G6PD are particularly pathogenic, as only the homodimerica nd homotetrameric oligomers of G6PD are stable and activei nvivo. [12] G6PD is the only enzyme known to have evolved as econd NADP + binding site, closetothe dimer interface;this second so-called structural site is essential for maintaining the activity,s tability,a nd oligomeric state of the enzyme.…”
We recently identified AG1, as mall-molecule activatort hat functions by promoting oligomerization of glucose-6-phosphate dehydrogenase (G6PD) to the catalytically competent forms. Biochemical experiments indicatet hat the activation of G6PD by the original hit molecule (AG1) is noncovalent and that one C 2 -symmetric region of the G6PD homodimer is important for ligand function. Consequently,t he disulfide in AG1 is not required for activationo fG 6PD, and an umber of analogues were prepared without this reactive moiety.O ur study supports am echanism of action whereby AG1 bridges the dimer interface at the structuraln icotinamide adenine dinucleotide phosphate (NADP + )b inding sites of two interacting G6PD monomers. Smallm olecules that promoteG 6PD oligomerization have the potential to provide af irst-in-class treatment for G6PD deficiency. Thisg eneral strategy could be applied to othere nzymed eficienciesi nw hichc ontrol of oligomerization can enhancee nzymatica ctivity and/or stability.
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