In Photosystem II (PSII), the MnCaO-cluster of the active site advances through five sequential oxidation states (S to S) before water is oxidized and O is generated. Here, we have studied the transition between the low spin (LS) and high spin (HS) configurations of S using EPR spectroscopy, quantum chemical calculations using Density Functional Theory (DFT), and time-resolved UV-visible absorption spectroscopy. The EPR experiments show that the equilibrium between S and S is pH dependent, with a pK ≈ 8.3 (n ≈ 4) for the native MnCaO and pK ≈ 7.5 (n ≈ 1) for MnSrO. The DFT results suggest that exchanging Ca with Sr modifies the electronic structure of several titratable groups within the active site, including groups that are not direct ligands to Ca/Sr, e.g., W1/W2, Asp61, His332 and His337. This is consistent with the complex modification of the pK upon the Ca/Sr exchange. EPR also showed that NH addition reversed the effect of high pH, NH-S being present at all pH values studied. Absorption spectroscopy indicates that NH is no longer bound in the STyr state, consistent with EPR data showing minor or no NH-induced modification of S and S. In both Ca-PSII and Sr-PSII, S was capable of advancing to S at low temperature (198 K). This is an experimental demonstration that the S is formed first and advances to Svia the S state without detectable intermediates. We discuss the nature of the changes occurring in the S to S transition which allow the S to S transition to occur below 200 K. This work also provides a protocol for generating S in concentrated samples without the need for saturating flashes.
Photosystem II (PSII) catalyzes light-driven water splitting in nature and is the key enzyme for energy input into the biosphere. Important details of its mechanism are not well understood. In order to understand the mechanism of water splitting, we perform here large-scale density functional theory (DFT) calculations on the active site of PSII in different oxidation, spin and ligand states. Prior to formation of the O-O bond, we find that all manganese atoms are oxidized to Mn(IV) in the S3 state, consistent with earlier studies. We find here, however, that the formation of the S3 state is coupled to the movement of a calcium-bound hydroxide (W3) from the Ca to a Mn (Mn1 or Mn4) in a process that is triggered by the formation of a tyrosyl radical (Tyr-161) and its protonated base, His-190. We find that subsequent oxidation and deprotonation of this hydroxide on Mn1 result in formation of an oxyl-radical that can exergonically couple with one of the oxo-bridges (O5), forming an O-O bond. When O(2) leaves the active site, a second Ca-bound water molecule reorients to bridge the gap between the manganese ions Mn1 and Mn4, forming a new oxo-bridge for the next reaction cycle. Our findings are consistent with experimental data, and suggest that the calcium ion may control substrate water access to the water oxidation sites.
This study deals with modeling the propagation and the chain transfer reactions in the free radical polymerization of ethylene, methyl methacrylate (MMA), and acrylamide (AM). The chain transfer agents modeled in the free radical polymerization of ethylene are the experimentally widely used species such as ethylene, methane, ethane, propane, trimethylamine, dimethylamine, chloroform, and carbon tetrachloride. The role of 4-X-thiophenols as chain transfer agents in the polymerization of MMA and AM has been investigated. Geometry optimizations have been carried out with the B3LYP/6-31+G(d) methodology. Reaction rate constants are calculated via the standard transition-state theory with the B3LYP/6-311+G(3df,2p)//B3LYP/6-31+G(d), MPWB1K/6-311+G(3df,2p)//B3LYP/6-31+G(d), and M05-2X/6-311+G(3df,2p)//B3LYP/6-31+G(d) methodologies, which reproduce qualitatively the experimental trends for the chain transfer rate constants. The usage of simple continuum models with the MPWB1K/6-311+G(3df,2p)//B3LYP/6-31+G(d) methodology for the solvation energies has slightly improved the accurate prediction of the chain transfer constants. Polar interactions highly influence the barrier heights for chain transfer reactions in the FRP of ethylene, MMA, and AM. Calculated chain transfer rate constants in the FRP of MMA and AM correlate quite well with the Hammett constants.
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In a first step toward the development of an efficient and accurate protocol to estimate amino acids' pKa's in proteins, we present in this work how to reproduce the pKa's of alcohol and thiol based residues (namely tyrosine, serine, and cysteine) in aqueous solution from the knowledge of the experimental pKa's of phenols, alcohols, and thiols. Our protocol is based on the linear relationship between computed atomic charges of the anionic form of the molecules (being either phenolates, alkoxides, or thiolates) and their respective experimental pKa values. It is tested with different environment approaches (gas phase or continuum solvent-based approaches), with five distinct atomic charge models (Mulliken, Löwdin, NPA, Merz-Kollman, and CHelpG), and with nine different DFT functionals combined with 16 different basis sets. Moreover, the capability of semiempirical methods (AM1, RM1, PM3, and PM6) to also predict pKa's of thiols, phenols, and alcohols is analyzed. From our benchmarks, the best combination to reproduce experimental pKa's is to compute NPA atomic charge using the CPCM model at the B3LYP/3-21G and M062X/6-311G levels for alcohols (R(2) = 0.995) and thiols (R(2) = 0.986), respectively. The applicability of the suggested protocol is tested with tyrosine and cysteine amino acids, and precise pKa predictions are obtained. The stability of the amino acid pKa's with respect to geometrical changes is also tested by MM-MD and DFT-MD calculations. Considering its strong accuracy and its high computational efficiency, these pKa prediction calculations using atomic charges indicate a promising method for predicting amino acids' pKa in a protein environment.
Actin binding compounds are widely used tools in cell biology. We compare the biological and biochemical effects of miuraenamide A and jasplakinolide, a structurally related prototypic actin stabilizer. Though both compounds have similar effects on cytoskeletal morphology and proliferation, they affect migration and transcription in a distinctive manner, as shown by a transcriptome approach in endothelial cells. In vitro , miuraenamide A acts as an actin nucleating, F-actin polymerizing and stabilizing compound, just like described for jasplakinolide. However, in contrast to jasplakinolide, miuraenamide A competes with cofilin, but not gelsolin or Arp2/3 for binding to F-actin. We propose a binding mode of miuraenamide A, explaining both its similarities and its differences to jasplakinolide. Molecular dynamics simulations suggest that the bromophenol group of miurenamide A interacts with residues Tyr133, Tyr143, and Phe352 of actin. This shifts the D-loop of the neighboring actin, creating tighter packing of the monomers, and occluding the binding site of cofilin. Since relatively small changes in the molecular structure give rise to this selectivity, actin binding compounds surprisingly are promising scaffolds for creating actin binders with specific functionality instead of just “stabilizers”.
Deamidation is the uncatalyzed process by which asparagine or glutamine can be transformed into aspartic acid or glutamic acid, respectively. In its active homodimeric form, mammalian triosephosphate isomerase (TPI) contains two deamidation sites per monomer. Experimental evidence shows that the primary deamidation site (Asn71-Gly72) deamidates faster than the secondary deamidation site (Asn15-Gly16). To evaluate the factors controlling the rates of these two deamidation sites in TPI, we have performed graphics processing unit-enabled microsecond long molecular dynamics simulations of rabbit TPI. The kinetics of asparagine dipeptide and two deamidation sites in mammalian TPI are also investigated using quantum mechanical/molecular mechanical tools with the umbrella sampling technique. Analysis of the simulations has been performed using independent global and local descriptors that can influence the deamidation rates: desolvation effects, backbone acidity, and side chain conformations. Our findings show that all the descriptors add up to favor the primary deamidation site over the secondary one in mammalian TPI: Asn71 deamidates faster because it is more solvent accessible, the adjacent glycine NH backbone acidity is enhanced, and the Asn side chain has a preferential near attack conformation. The crucial impact of the backbone amide acidity of the adjacent glycine on the deamidation rate is shown by kinetic analysis. Our findings also shed light on the effect of high-order structure on deamidation: the deamidation in a small peptide is favored first because of the higher reactivity of the asparagine residue and then because of the stronger stability of the tetrahedral intermediate.
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