Molecular Dynamic Simulation Reveals Structure Differences in Variants and Implication in Pathogenesis of Chronic Kidney Disease.

Background: According to observational studies, two polymorphisms in the apolipoprotein L1 () gene have been linked to an increased risk of chronic kidney disease (CKD) in Africans. One polymorphism involves the substitution of two amino-acid residues (S342G and I384M; known as G1), while the other involves the deletion of two amino-acid residues in a row (N388 and Y389; termed G2). Despite the strong link between polymorphisms and kidney disease, the molecular mechanisms via which these mutations influence the onset and progression of CKD remain unknown.

Methods: To predict the active site and allosteric site on the protein, we used the Computed Atlas of Surface Topography of Proteins (CASTp) and the Protein Allosteric Sites Server (PASSer). Using an extended molecular dynamics simulation, we investigated the characteristic structural perturbations in the 3D structures of variants.

Results: According to CASTp's active site characterization, the topmost predicted site had a surface area of 964.892 Å and a pocket volume of 900.792 Å. For the top three allosteric pockets, the allostery probability was 52.44%, 46.30%, and 38.50%, respectively. The systems reached equilibrium in about 125 ns. From 0-100 ns, there was also significant structural instability. When compared to G1 and G2, the wildtype protein (G0) had overall high stability throughout the simulation. The root-mean-square fluctuation (RMSF) of wildtype and variant protein backbone Cα fluctuations revealed that the Cα of the variants had a large structural fluctuation when compared to the wildtype.

Conclusion: Using a combination of different computational techniques, we identified binding sites within the protein that could be an attractive site for potential inhibitors of . Furthermore, the G1 and G2 mutations reduced the structural stability of .