A molecular dynamics analysis of the GCC-box binding domain in ethylene-responsive element binding factors

Ethylene-responsive element (ERE) binding factors is responsible for a consensus nucleotide sequence AGCCGCC (GCC-box) binding in many important process of plant growing through gene regulation and mediating signal transduction pathways in response to environmental stress. The GCC-box binding domain (GBD) as a novel fold for DNA recognition has been analyzed by means of molecular dynamics. The simulations show that the complex of GBD-DNA trajectories show similar fluctuations in the atomic positions as uncomplexed, particularly at three beta strands involving DNA binding. The calculations of entropy also affirm that GBD flexibility is basically similar for two ligation states. Further, the two complexation states present similar patterns of concerted motions, indicating that the bound DNA cannot alter GBD flexibility. It is inferred that the flexibility of GBD molecule is independent of its ligation state. So in the protein-DNA recognition, the GBD cannot be easily induced while DNA shows better flexibility. Comparison between simulations of unligated GBD and the complexed GBD (in isolation or DNA-bound) reveals intrinsic flexibilities in some certain parts of the molecule play a key role in DNA recognition. In addition, MD simulation identifies that water molecule may mediate interaction between GBD and DNA.     

Affinity and specificity of protein U1A-RNA complex formation based on an additive component free energy model

An MM-GBSA computational protocol was used to investigate wild-type U1A-RNA and F56 U1A mutant experimental binding free energies. The trend in mutant binding free energies compared to wild-type is well-reproduced. Following application of a linear-response-like equation to scale the various energy components, the binding free energies agree quantitatively with observed experimental values. Conformational adaptation contributes to the binding free energy for both the protein and the RNA in these systems. Small differences in DeltaGs are the result of different and sometimes quite large relative contributions from various energetic components. Residual free energy decomposition indicates differences not only at the site of mutation, but throughout the entire protein. MM-GBSA and ab initio calculations performed on model systems suggest that stacking interactions may nearly, but not completely, account for observed differences in mutant binding affinities. This study indicates that there may be different underlying causes of ostensibly similar experimentally observed binding affinities of different mutants, and thus recommends caution in the interpretation of binding affinities and specificities purely by inspection.     

Cooperative fluctuations of unliganded and substrate-bound HIV-1 protease: a structure-based analysis on a variety of conformations from crystallography and molecular dynamics simulations

The dynamics of HIV-1 protease, both in unliganded and substrate-bound forms have been analyzed by using an analytical method, Gaussian network model (GNM). The method is applied to different conformations accessible to the protein backbone in the native state, observed in crystal structures and snapshots from fully atomistic molecular dynamics (MD) simulation trajectories. The modes of motion obtained from GNM on different conformations of HIV-1 protease are conserved throughout the MD simulations. The flaps and 40's loop of the unliganded HIV-1 protease structure are identified as the most mobile regions. However, in the liganded structure these flaps lose mobility, and terminal regions of the monomers become more flexible. Analysis of the fast modes shows that residues important for stability are in the same regions of all the structures examined. Among these, Gly86 appears to be a key residue for stability. The contribution of residues in the active site region and flaps to the stability is more pronounced in the substrate-bound form than in the unliganded form. The convergence of modes in GNM to similar regions of HIV-1 protease, regardless of the conformation of the protein, supports the robustness of GNM as a potentially useful and predictive tool.     

Insights into the functional role of protonation states in the HIV-1 protease-BEA369 complex: molecular dynamics simulations and free energy calculations

The molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method combined with molecular dynamics (MD) simulations were used to investigate the functional role of protonation in human immunodeficiency virus type 1 (HIV-1) protease complexed with the inhibitor BEA369. Our results demonstrate that protonation of two aspartic acids (Asp25/Asp25′) has a strong influence on the dynamics behavior of the complex, the binding free energy of BEA369, and inhibitor–residue interactions. Relative binding free energies calculated using the MM-PBSA method show that protonation of Asp25 results in the strongest binding of BEA369 to HIV-1 protease. Inhibitor–residue interactions computed by the theory of free energy decomposition also indicate that protonation of Asp25 has the most favorable effect on binding of BEA369. In addition, hydrogen-bond analysis based on the trajectories of the MD simulations shows that protonation of Asp25 strongly influences the water-mediated link of a conserved water molecule, Wat301. We expect that the results of this study will contribute significantly to binding calculations for BEA369, and to the design of high affinity inhibitors.     

Global and local dynamics of the human U1A protein determined by tryptophan fluorescence.

Tryptophan residues have been introduced into two domains of the human U1A protein to probe solution dynamics. The full length protein contains 282 residues, separated into three distinct domains: the N-terminal RBD1 (RNA Binding Domain I), consisting of amino acids 1-101; the C-terminal RBD2, residues 202-282; and the intervening linker region. Tryptophan residues have been substituted for specific phenylalanine residues on the surface of the beta-sheet of either RBD1 or RBD2, thus introducing a single solvent exposed tryptophan as a fluorescence reporter. Both steady-state and time-resolved fluorescence measurements of the isolated RBD domains show that each tryptophan experiences a unique environment on the beta-sheet surface. The spectral properties of each tryptophan in RBD1 and RBD2 are preserved in the context of the U1A protein, indicating these domains do not interact with each other or with the linker region. The rotational correlation times of the isolated RBDs and the whole U1A, determined by dynamic polarization measurements, show that the linker region is highly flexible such that each RBD exhibits uncorrelated motion.     

Systematic probing of an atomic charge set of sialic acid disaccharides for the rational molecular modeling of avian influenza virus based on molecular dynamics simulations

A systematic searching approach for an atomic charge set through molecular dynamics simulations is introduced to calculate a reasonable sialic acid carbohydrate conformation with respect to the experimentally observed structures. The present molecular dynamics simulation study demonstrated that B3LYP/6-31G is the most suitable basis set for the sialic acid disaccharides, attaining good agreement with experimental data.     

3D-QSAR (CoMFA,CoMSIA), molecular docking and molecular dynamics simulations study of 6-aryl-5-cyano-pyrimidine derivatives to explore the structure requirements of LSD1 inhibitors

Recently, Histone Lysine Specific Demethylase 1 (LSD1) was regarded as a promising anticancer target for the novel drug discovery. And several small molecules as LSD1 inhibitors in different structures have been reported. In this work, we carried out a molecular modeling study on the 6-aryl-5-cyano-pyrimidine fragment LSD1 inhibitors using three-dimensional quantitative structure–activity relationship (3D-QSAR), molecular docking and molecular dynamics simulations. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to generate 3D-QSAR models. The results show that the best CoMFA model has q² = 0.802, r²_ncv = 0.979, and the best CoMSIA model has q² = 0.799, r²_ncv = 0.982. The electrostatic, hydrophobic and H-bond donor fields play important roles in the models. Molecular docking studies predict the binding mode and the interactions between the ligand and the receptor protein. Molecular dynamics simulations results reveal that the complex of the ligand and the receptor protein are stable at 300 K. All the results can provide us more useful information for our further drug design.     

Effects of hydroxysafflor yellow A on ALDH1: Inhibition kinetics and molecular dynamics simulation

Hydroxysafflor yellow A (HSYA) is a potent natural antioxidant that displays important neuroprotective activity. Inhibition of acetaldehyde dehydrogenase 1 (ALDH1) has attracted the attention of researchers due to its overexpression in several types of cancers. We studied the effects of HSYA on ALDH1 by evaluating the inhibitory kinetics based on its antioxidant properties and performing computational simulation integrating methods. HSYA reversibly inhibited human recombinant ALDH1 via non-competitive inhibition (K_i = 0.267 ± 0.024 mM). We also investigated the tertiary structural changes via measuring intrinsic and ANS-binding fluorescence. The results indicated that the inactivation induced by HSYA was associated with structural changes. To obtain further information, we simulated the 3D structure of ALDH1 and conducted computational docking simulations as well as molecular dynamics simulations. The results indicated that 4 rings of HSYA interact with several residues near the ALDH1 active site. Our study provides insight into the inhibition of ALDH1 accompanied by structural changes. Based on its ALDH1-inhibiting effect and its potential as a natural antioxidant, HSYA is a potential agent for treating ALDH1-associated cancers.     

Mouse acetylcholinesterase unliganded and in complex with huperzine A: A comparison of molecular dynamics simulations

A 1 ns molecular dynamics simulation of unliganded mouse acetylcholinesterase (AChE) is compared to a previous simulation of mouse AChE complexed with huperzine A (HupA). Several common features are observed. In both simulations, the active site gorge fluctuates in size during the 1 ns trajectory and is completely pinched off several times. Many of the residues in the gorge that formed hydrogen bonds with HupA in the simulation of the complex now form hydrogen bonds with other protein residues and water molecules in the gorge. The opening of a “backdoor” entrance to the active site that was found in the simulation of the complex is also observed in the unliganded simulation. Differences between the two simulations include overall lower structural rms deviations for residues in the gorge in the unliganded simulation, a smaller diameter of the gorge in the absence of HupA, and the disappearance of a side channel that was frequently present in the liganded simulation. The differences between the two simulations can be attributed, in part, to the interaction of AChE with HupA. © 1999 John Wiley & Sons, Inc. Biopoly 50: 35–43, 1999     

Investigations of peptide hydration using NMR and molecular dynamics simulations: A study of effects of water on the conformation and dynamics of antamanide

Summary The influence of water binding on the conformational dynamics of the cyclic decapeptide antamanide dissolved in the model lipophilic environment chloroform is investigated by NMR relaxation measurements. The water-peptide complex has a lifetime of 35 s at 250 K, which is longer than typical lifetimes of water-peptide complexes reported in aqueous solution. In addition, there is a rapid intracomplex mobility that probably involves librational motions of the bound water or water molecules hopping between different binding sites. Water binding restricts the flexibility of antamanide. The experimental findings are compared with GROMOS molecular dynamics simulations of antamanide with up to eight bound water molecules. Within the simulation time of 600 ps, no water molecule leaves the complex. Additionally, the simulations show a reduced flexibility for the complex in comparison with uncomplexed antamanide. Thus, there is a qualitative agreement between the experimental NMR results and the computer simulations.     

In silico identification of A1 agonists and A2a inhibitors in pain based on molecular docking strategies and dynamics simulations

Most recently, the adenosine is considered as one of the most promising targets for treating pain, with few side effects. It exists in the central nervous system, and plays a key role in nociceptive afferent pathway. It is reported that the A1 receptor (A1R) could inhibit Ca²⁺ channels to reduce the pain like analgesic mechanism of morphine. And, A2a receptor (A2aR) was reported to enhance the accumulation of AMP (cAMP) and released peptides from sensory neurons, resulting in constitutive activation of pain. Much evidence showed that A1R and A2aR could be served as the interesting targets for the treatment of pain. Herein, virtual screening was utilized to identify the small molecule compounds towards A1R and A2aR, and top six molecules were considered as candidates via amber scores. The molecular dynamic (MD) simulations and molecular mechanics/generalized born surface area (MM/GBSA) were employed to further analyze the affinity and binding stability of the six molecules towards A1R and A2aR. Moreover, energy decomposition analysis showed significant residues in A1R and A2aR, including His1383, Phe1276, and Glu1277. It provided basics for discovery of novel agonists and antagonists. Finally, the agonists of A1R (ZINC19943625, ZINC13555217, and ZINC04698406) and inhibitors of A2aR (ZINC19370372, ZINC20176051, and ZINC57263068) were successfully recognized. Taken together, our discovered small molecules may serve as the promising candidate agents for future pain research.     

A functional role for correlated motion in the N-terminal RNA-binding domain of human U1A protein

The N-terminal RNA-binding domain of the human U1A protein (RBD1) undergoes local conformational changes upon binding to its target RNA. Here, the wild-type RBD1 and two mutants are examined with molecular dynamics simulations that are analyzed using the reorientational eigenmode dynamics (RED) formalism. The results reveal changes in the magnitude and extent of coupled intra-domain motions resulting from single amino acid substitutions. Interpretation of the novel RED results and corresponding NMR relaxation data suggests that the loss of collective motions in the mutants could account for their weak RNA-binding.     

Structure and dynamics of the full-length M1 muscarinic acetylcholine receptor studied by molecular dynamics simulations

The three-dimensional structure of full-length structure of the M₁ muscarinic receptor was obtained through the fragmental homology modeling procedure. A 10-ns molecular dynamics (MD) simulation of the protein imbedded in a lipid slab and surrounded by water molecules was further used to relax the model. It was found that the homology model corresponded to the conformation in the ground state, since no significant motions of the backbone of transmembrane domains were observed. Furthermore, the reliability of the model was validated by analyzing key inter-helical contacts, sidechain-sidechain interactions, the formation of stable aromatic microdomains (clusters) and the docking of acetylcholine to its binding site. Moreover, a few conserved interactions observed in the X-ray structure of rhodopsin, such as inter-helical sidechain-sidechain hydrogen bonds were accurately reproduced in the MD simulation. The coupling of ACh to its binding site was found to be dominated by π-cation and salt bridge interactions, while its conformational space was restrained through van der Waals and hydrogen bond interactions. In general, such features were in very good agreement with the available experimental as well as with theoretical data. Considering the above, the structural information obtained in this study can be used a starting point to investigate the activation mechanism of the receptor and the ability to develop selective agonists and allosteric modulators which could be used for the treatment of Alzheimer’s disease.     

A molecular dynamics simulation of the flavin mononucleotide–RNA aptamer complex

We report on an unrestrained molecular dynamics simulation of the flavin mononucleotide (FMN)–RNA aptamer. The simulated average structure maintains both cross‐strand and intermolecular FMN–RNA nuclear Overhauser effects from the nmr experiments and has all qualitative features of the nmr structure including the G10–U12–A25 base triple and the A13–G24, A8–G28, and G9–G27 mismatches. However, the relative orientation of the hairpin loop to the remaining part of the molecule differs from the nmr structure. The simulation predicts that the flexible phosphoglycerol part of FMN moves toward G27 and forms hydrogen bonds. There are structurally long‐lived water molecules in the FMN binding pocket forming hydrogen bonds within FMN and between FMN and RNA. In addition, long‐lived water is found bridging primarily RNA backbone atoms. A general feature of the environment of long‐lived “structural” water is at least two and in most cases three or four potential acceptor atoms. The 2′‐OH group of RNA usually acts as an acceptor in interactions with the solvent. There are almost no intrastrand O2′H(n)⋮O4′(n + 1) hydrogen bonds within the RNA backbone. In the standard case the preferred orientation of the 2′‐OH hydrogen atoms is approximately toward O3′ of the same nucleotide. However, a relatively large number of conformations with the backbone torsional angle γ in the trans orientation is found. A survey of all experimental RNA x‐ray structures shows that this backbone conformation occurs but is less frequent than found in the simulation. Experimental nmr RNA aptamer structures have a higher fraction of this conformation as compared to the x‐ray structures. The backbone conformation of nucleotide n + 1 with the torsional angle γ in the trans orientation leads to a relatively short distance between 2′‐OH(n) and O5′(n + 1), enabling hydrogen‐bond formation. In this case the preferred orientation of the 2′‐OH hydrogen atom is approximately toward O5′(n + 1). We find two relatively short and dynamically stable types of backbone–backbone next‐neighbor contacts, namely C2′(H)(n)⋮O4′(n + 1) and C5′(H)(n + 1)⋮O2′(n). These interactions may affect both backbone rigidity and thermodynamic stability of RNA helical structures. © 1999 John Wiley & Sons, Inc. Biopoly 50: 287–302, 1999     

Revision of the Euthalia phemius complex (Lepidoptera: Nymphalidae) based on morphology and molecular analyses

Adults of the Euthalia phemius complex, which is composed of three South‐East Asian nymphalid species, Euthalia phemius, Euthalia ipona, and Euthalia euphemia, were genetically analysed by examining mitochondrial and nuclear genes. The E. phemius complex was also examined morphologically, with particular emphasis on wing markings and male genitalia. No significant differences amongst the three species in the complex were detected with respect to either genetic distance or genital morphology. We therefore conclude that the three currently recognized Euthalia species belong to a single species. Accordingly, E. ipona is synonymized with E. phemius. Euthalia euphemia is treated as a subspecies of E. phemius. Type specimens of all taxa and a synonymic list for the E. phemius complex are also given. In addition, we briefly discuss the evolution and biogeography of the species complex. © 2011 The Linnean Society of London, Zoological Journal of the Linnean Society, 2012, 164 , 304–327.     

A computational modeling and molecular dynamics study of the Michaelis complex of human protein Z-dependent protease inhibitor (ZPI) and factor Xa (FXa)

Protein Z-dependent protease inhibitor (ZPI) and antithrombin III (AT3) are members of the serpin superfamily of protease inhibitors that inhibit factor Xa (FXa) and other proteases in the coagulation pathway. While experimental structural information is available for the interaction of AT3 with FXa, at present there is no structural data regarding the interaction of ZPI with FXa, and the precise role of this interaction in the blood coagulation pathway is poorly understood. In an effort to gain a structural understanding of this system, we have built a solvent equilibrated three-dimensional structural model of the Michaelis complex of human ZPI/FXa using homology modeling, protein–protein docking and molecular dynamics simulation methods. Preliminary analysis of interactions at the complex interface from our simulations suggests that the interactions of the reactive center loop (RCL) and the exosite surface of ZPI with FXa are similar to those observed from X-ray crystal structure-based simulations of AT3/FXa. However, detailed comparison of our modeled structure of ZPI/FXa with that of AT3/FXa points to differences in interaction specificity at the reactive center and in the stability of the inhibitory complex, due to the presence of a tyrosine residue at the P1 position in ZPI, instead of the P1 arginine residue in AT3. The modeled structure also shows specific structural differences between AT3 and ZPI in the heparin-binding and flexible N-terminal tail regions. Our structural model of ZPI/FXa is also compatible with available experimental information regarding the importance for the inhibitory action of certain basic residues in FXa. Figure Solvent equilibrated models for protein z-dependent protease inhibitor and its initial reactive complex with coagulation factor Xa (show here) are developed. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users. V.C. and C.J.L. contributed equally to this work. The solvent-equilibrated PDB structure of the ZPI/FXa will be made available upon request. Conflict of interest statement  The authors state that they have no conflict of interest.     

Characterization of differences in substrate specificity among CYP1A1, CYP1A2 and CYP1B1: an integrated approach employing molecular docking and molecular dynamics simulations

Recent trends in new drug discovery of anticancer drugs have made oncologists more aware of the fact that the new drug discovery must target the developing mechanism of tumorigenesis to improve the therapeutic efficacy of antineoplastic drugs. The drugs designed are expected to have high affinity towards the novel targets selectively. Current research highlights overexpression of CYP450s, particularly cytochrome P450 1A1 (CYP1A1), in tumour cells, representing a novel target for anticancer therapy. However, the CYP1 family is identified as posing significant problems in selectivity of anticancer molecules towards CYP1A1. Three members have been identified in the human CYP1 family: CYP1A1, CYP1A2 and CYP1B1. Although sequences of the three isoform have high sequence identity, they have distinct substrate specificities. The understanding of macromolecular features that govern substrate specificity is required to understand the interplay between the protein function and dynamics, design novel antitumour compounds that could be specifically metabolized by only CYP1A1 to mediate their antitumour activity and elucidate the reasons for differences in substrate specificity profile among the three proteins. In the present study, we employed a combination of computational methodologies: molecular docking and molecular dynamics simulations. We utilized eight substrates for elucidating the difference in substrate specificity of the three isoforms. Lastly, we conclude that the substrate specificity of a particular substrate depends upon the type of the active site residues, the dynamic motions in the protein structure upon ligand binding and the physico‐chemical characteristics of a particular ligand. Copyright © 2016 John Wiley & Sons, Ltd.     

A molecular dynamics study of the binary complexes of APP,JIP1, and the cargo binding domain of KLC

Mutations in the amyloid precursor protein (APP) are responsible for the formation of amyloid‐β peptides. These peptides play a role in Alzheimer's and other dementia‐related diseases. The cargo binding domain of the kinesin‐1 light chain motor protein (KLC1) may be responsible for transporting APP either directly or via interaction with C‐jun N‐terminal kinase‐interacting protein 1 (JIP1). However, to date there has been no direct experimental or computational assessment of such binding at the atomistic level. We used molecular dynamics and free energy estimations to gauge the affinity for the binary complexes of KLC1, APP, and JIP1. We find that all binary complexes (KLC1:APP, KLC1:JIP1, and APP:JIP1) contain conformations with favorable binding free energies. For KLC1:APP the inclusion of approximate entropies reduces the favorability. This is likely due to the flexibility of the 42‐residue APP protein. In all cases we analyze atomistic/residue driving forces for favorable interactions. Proteins 2017; 85:221–234. © 2016 Wiley Periodicals, Inc.