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The eye is a vital organ in the visual system, which is composed of transparent vascular tissue. αB-crystallin, a significant protein found in the lens, plays a crucial role in our understanding of lens diseases. Mutations in the αB-crystallin protein can cause lens diseases, such as cataracts and myopathy. However, the molecular mechanism underlying the R120G mutation is not fully understood. In this study, we utilized molecular dynamics simulations to illustrate, in atomic detail, how the R120G mutation leads to the aggregation of αB-crystallin and scattering of light in the lens. Our findings show that the R120G mutation alters the dynamic and structural properties of the αB-crystallin protein. Specifically, this mutation causes the angle of the hairpin at the C-terminal to increase from 80° to 150°, while reducing the distance between the hydrophobic patches around residues 10 and 44-55 from 1.5 nm to 1 nm. In addition, our results showed that the mutation could disrupt the IPI motif - β4/β8 interaction. The disruption of this interaction could affect the αB-crystallin oligomerization and the chaperone activity of αB-crystallin protein. The exposed hydrophobic area at the IPI motif - β4/β8 could become the primary site for interprotein interactions, which are responsible for large-scale aggregation. We have demonstrated that, in wild-type αB-crystallin protein, salt bridges R120 and D109, R107 and D80 are formed. However, in the case of the R120G mutation, the salt bridges R120 and R109 are disrupted, and a new salt bridge with a different pattern is formed. In our study, it has been found that all of the changes associated with the R120G mutation are located at the interface of chains A and B, which could impact the multimerization of the αB-crystallin. Previous research on the K92-E99 residue has shown that a salt bridge in the dimer I can reduce the chaperone activity of the protein. Furthermore, the salt bridges R120 and D109, as well as R107 and D80 in dimer II, induce changes in the hydrophobic envelope of β-sheets in the α-crystallin domain (ACD). These changes could have an impact on the multimerization of the αB-crystallin, leading to disruption of the oligomer structure and aggregation. Moreover, the changes in the αB-crystallin resulting from the R120G mutation can lead to faulty interactions with other proteins, which can cause the aggregation of αB-crystallin with other proteins, such as desmin. These findings may provide new insights into the development of treatments for lens diseases.Communicated by Ramaswamy H. Sarma.

Studying interactions between drugs and cell membranes is of great interest to designing novel drugs, optimizing drug delivery, and discerning drug mechanism action. In this study, we investigated the physical properties of the bilayer membrane model of POPC upon interaction with ibuprofen (IBU) using molecular dynamics simulations. The area per lipid (APL) was calculated to describe the effect of ibuprofen on the packing properties of the lipid bilayer. The APL was 0.58 nm 2 and 0.63 nm 2 for the membrane in low and high IBU respectively, and 0.57 nm 2 for the membrane without IBU. Our finding showed that the mean square deviation (MSD) increased with increased ibuprofen content. In addition, the order parameter for the hydrocarbon chain of lipids increased with increased ibuprofen content. There was an increment in the transfer free energy after the head group region while it was maximum in the hydrophobic core for hydrogen peroxide (H 2 O 2 ) (∼6.2 kcal.mol -1 ) and H 2 O (∼3.4 kcal.mol -1 ) which then decreased to respective values of (∼4.6 kcal.mol -1 ), and (∼2.3 kcal.mol -1 ) at the center of the bilayer in the presence of IBU. It seems that in the presence of ibuprofen, the free energy profile of the permeability of water and H 2 O 2 significantly decreased. These findings show that ibuprofen significantly influences the physical properties of the bilayer by decreasing the packing and intermolecular interaction in the hydrocarbon chain region and increasing the water permeability of the bilayer. These results may provide insights into the local cytotoxic side effects of ibuprofen and its underlying molecular mechanisms.Communicated by Ramaswamy H. Sarma.

The β 42 amyloid peptides (Aβ) are identified as a candidate target for Alzheimer's drugs. Phenolic compounds can bind to the Aβ and inhibit amyloid formation. However, the inhibitory mechanism of phenolic compounds remains unclear. In this study, the molecular dynamic simulation and docking program were used to characterize the molecular details of inhibitory mechanism of the phenolic compounds. Our Results show that the phenolic compounds can bind to hydrophobic region in Aβ 42 monomer and alter hydrophobic interactions network at Aβ 42 which play a key role in β-sheet formation. The cluster analysis and interactions network analysis were used to probe conformational changes in Aβ 42 . In most populated clusters of Aβ 42 -phenolic compounds complexes, the sheet structures were not observed or reduced. It seems that the binding of phenolic compounds can induce larger conformational diversity for amyloid peptide and changes conformational properties of amyloid peptide. The phenolic compounds can deform β-Hairpin structure of Aβ by destabilizing salt bridges E22-K28 and D23-K28 which can alter the conformation of Aβ 42 in aqueous solution. These findings are in accordance with experimental results, to some extent give a molecular level interpretation for the inhibitory mechanism of phenolic compounds .In addition, this study may add important new details to the inhibitory mechanism of Alzheimer's drug.Communicated by Ramaswamy H. Sarma.

This study has been focused on the batch culture removal of Cu2+ and Ni2+ ions from the aqueous solution using marine brown algae Sargassum angustifolium. Influences of parameters like pH, initial metal ions concentration and biosorbent dosage on nickel and copper adsorption were also examined using the Box-Behnken design matrix. For biosorption of Cu2+ the optimum pH value was determined as 5.0, optimum biosorbent concentration to 1.0 g/L and optimum initial concentration 0.15 mmol/L. For the biosorption of Ni2+, the optimal condition was the same but the optimum pH value was determined as 6.0. Desorption experiments indicated that CH3COOH and EDTA were efficient desorbents for recovery from Cu2+ and Ni2+. The Langmuir isotherm model was applied to describe the biosorption of the Cu2+ and Ni2+ into S. angustifolium. The maximum uptake of Cu2+ and Ni2+ ions by the S. angustifolium biomass under the optimal conditions was approximately 0.94 and 0.78 mmol/g dry alga, respectively. Response surface models showed that the data were adequately fitted to a second-order polynomial model. Analysis of variance showed a high coefficient of determination value (R2 = 0.993 for Cu2+ and 0.991 for Ni2+) and a satisfactory second-order regression model was derived. In addition, results reported in this research demonstrated the feasibility of employing S. angustifolium as biosorbent for Ni2+ and Cu2+ removal.