Molecular docking and dynamics simulation analyses unraveling the differential enzymatic catalysis by plant and fungal laccases with respect to lignin biosynthesis and degradation

Laccase, widely distributed in bacteria, fungi, and plants, catalyzes the oxidation of wide range of compounds. With regards to one of the important physiological functions, plant laccases are considered to catalyze lignin biosynthesis while fungal laccases are considered for lignin degradation. The present study was undertaken to explain this dual function of laccases using in-silico molecular docking and dynamics simulation approaches. Modeling and superimposition analyses of one each representative of plant and fungal laccases, namely, Populus trichocarpa and Trametes versicolor, respectively, revealed low level of similarity in the folding of two laccases at 3D levels. Docking analyses revealed significantly higher binding efficiency for lignin model compounds, in proportion to their size, for fungal laccase as compared to that of plant laccase. Residues interacting with the model compounds at the respective enzyme active sites were found to be in conformity with their role in lignin biosynthesis and degradation. Molecular dynamics simulation analyses for the stability of docked complexes of plant and fungal laccases with lignin model compounds revealed that tetrameric lignin model compound remains attached to the active site of fungal laccase throughout the simulation period, while it protrudes outwards from the active site of plant laccase. Stability of these complexes was further analyzed on the basis of binding energy which revealed significantly higher stability of fungal laccase with tetrameric compound than that of plant. The overall data suggested a situation favorable for the degradation of lignin polymer by fungal laccase while its synthesis by plant laccase.     

Probing the active site of cellodextrin phosphorylase from Clostridium stercorarium: kinetic characterization, ligand docking, and site-directed mutagenesis

Cellodextrin phosphorylase from Clostridium stercorarium has been recombinantly expressed in Escherichia coli for the first time. Kinetic characterization of the purified enzyme has revealed that aryl and alkyl β-glucosides can be efficiently glycosylated, an activity that has not yet been described for this enzyme class. To obtain a better understanding of the factors that determine the enzyme's specificity, homology modeling and ligand docking were applied. Residue W168 has been found to form a hydrophobic stacking interaction with the substrate in subsite +2, and its importance has been examined by means of site-directed mutagenesis. The mutant W168A retains about half of its catalytic activity, indicating that other residues also contribute to the binding affinity of subsite +2. Finally, residue D474 has been identified as the catalytic acid, interacting with the glycosidic oxygen between subsites -1 and +1. Mutating this residue results in complete loss of activity. These results, for the first time, provide an insight in the enzyme-substrate interactions that determine the activity and specificity of cellodextrin phosphorylases.     

Thermodynamic resolution: How do errors in modeled protein structures affect binding affinity predictions?

The present study addresses the effect of structural distortion, caused by protein modeling errors, on calculated binding affinities toward small molecules. The binding affinities to a total of 300 distorted structures based on five different protein–ligand complexes were evaluated to establish a broadly applicable relationship between errors in protein structure and errors in calculated binding affinities. Relatively accurate protein models (less than 2 Å RMSD within the binding site) demonstrate a 14.78 (±7.5)% deviation in binding affinity from that calculated by using the corresponding crystal structure. For structures of 2–3 Å, 3–4 Å, and >4 Å RMSD within the binding site, the error in calculated binding affinity increases to 20.8 (±5.98), 22.79 (±11.3), and 29.43 (±11.47)%, respectively. The results described here may be used in combination with other tools to evaluate the utility of modeled protein structures for drug development or other ligand‐binding studies. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Conformational Similarity Indices Between Different Residues in Proteins and α-Helix Propensities

Abstract

Various amino acid similarity matrices have been derived using data on physicochemical properties and molecular evolution. Conformational similarity indices, CS_XX′, between different residues are computed here using the distribution of the main-chain and side-chain torsion angles and the values have been used to cluster amino acids in proteins. A subset of these parameters, CS_AX′ indicates the extent of similarity in the main-chain and side-chain conformations (φ ψ and χ₁) of different residues (X) with Ala (A) and is found to have strong correlation with α-helix propensities. However, no subset of CS_XX′ provides any linear relationship with β-sheet propensities, suggesting that the conformational feature favouring the location of a residue in an a-helix is different from the one favouring the β-sheet. Conformationally similar residues (close CS_AX values) have similar steric framework of the side-chain (linear/branched, aliphatic/aromatic), irrespective of the polarity or hydrophobicity. Cooperative nucleation of helix may be facile for a contiguous stretch of residues with high overall CS_AX values.     

抗癌晶体蛋白Parasporin-2空间结构的研究

通过同源建模得到了抗癌晶体蛋白Parasporin-2(Cry46Aa1)活性区的初始三维结构,利用分子动力学方法对初始三维结构进行优化。为了评估模型的好坏,利用Ramachandran plot和结构匹配等方法对模型进行评价。结果显示,所得的Parasporin-2空间模型良好。比较了Cry46Aa1与Cry46Ab1这两种高度同源的抗癌晶体蛋白的空间结构,找出了其空间结构上的不同之处。通过大分子对接程序Hex4.5,模拟了Parasporin-2与受体GPI-瞄固蛋白(CD59)的相互作用。结果显示,Parasporin-2中参与对接的活性位点位于两个α-螺旋下方的凹槽内,而CD59中的四个loop倾向于插入该凹槽内。研究结果为Parasporin-2的抗癌机制研究及其理性改造奠定了基础。     

Monosialogangliosides and Their Interaction with Cholera Toxin—Investigation by Molecular Modeling and Molecular Mechanics

Abstract

Molecular mechanics and molecular dynamics studies are performed to investigate the conformational preference of cell surface monosialogangliosides (GM3, GM2 and GM1) in aqueous environment. Water mediated hydrogen bonding network plays a significant role in the structural stabilization of GM3, GM2 and GM1. The spatial flexibility of NeuNAc of gangliosides at the binding site of cholera toxin reveals a limited allowed eulerian space of 2.4% with a much less allowed eulerian space (1.4%) for external galactose of GM1. The molecular mechanics of monosialoganglioside-cholera toxin complex reveals that cholera toxin can accommodate the monosialogangliosides in three different modes. Direct and water mediated hydrogen bonding interactions stabilize these binding modes and play an essential role in defining the order of specificity for different monosialogangliosides towards cholera toxin. This study identifies the NeuNAc binding site as a site for design of inhibitors that can restrict the pathogenic activity of cholera toxin.     

Structure prediction and molecular dynamics simulations of a G-protein coupled receptor: human CCR2 receptor

CC chemokine receptor type-2 (CCR2) is a member of G-protein coupled receptors superfamily, expressed on the cell surface of monocytes and macrophages. It binds to the monocyte chemoattractant protein-1, a CC chemokine, produced at the sites of inflammation and infection. A homology model of human CCR2 receptor based on the recently available C-X-C chemokine recepor-4 crystal structure has been reported. Ligand information was used as an essential element in the homology modeling process. Six known CCR2 antagonists were docked into the model using simple and induced fit docking procedure. Docked complexes were then subjected to visual inspection to check their suitability to explain the experimental data obtained from site directed mutagenesis and structure-activity relationship studies. The homology model was refined, validated, and assessed for its performance in docking-based virtual screening on a set of CCR2 antagonists and decoys. The docked complexes of CCR2 with the known antagonists, TAK779, a dual CCR2/CCR5 antagonist, and Teijin-comp1, a CCR2 specific antagonist were subjected to molecular dynamics (MD) simulations, which further validated the binding modes of these antagonists. B-factor analysis of 20?ns MD simulations demonstrated that Cys190 is helpful in providing structural rigidity to the extracellular loop (EL2). Residues important for CCR2 antagonism were recognized using free energy decomposition studies. The acidic residue Glu291 from TM7, a conserved residue in chemokine receptors, is favorable for the binding of Teijin-comp1 with CCR2 by ΔG of ?11.4?kcal/mol. Its contribution arises more from the side chains than the backbone atoms. In addition, Tyr193 from EL2 contributes ?0.9?kcal/mol towards the binding of the CCR2 specific antagonist with the receptor. Here, the homology modeling and subsequent molecular modeling studies proved successful in probing the structure of human CCR2 chemokine receptor for the structure-based virtual screening and predicting the binding modes of CCR2 antagonists.