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Molecular docking reveals a novel binding site model for fentanyl at the mu-opioid receptor.

The ligand binding modes of a series of fentanyl derivatives are examined using a combination of conformational analysis and molecular docking to the mu-opioid receptor. Condensed-phase molecular dynamics simulations are applied to evaluate potential relationships between ligand conformation and fentanyl substitution and to generate probable "bioactive" structures for the ligand series. Automated docking of the largely populated solution conformers identified a common binding site orientation that places the N-phenethyl group of fentanyl deep in a crevice between transmembrane (TM) helices II and III while the N-phenylpropanamide group projected toward a pocket formed by TM-III, -VI, and -VII domains. An analysis of the binding modes indicates the most potent fentanyl derivatives adopt an extended conformation both in solution and in the bound state, suggesting binding affinity may depend on the conformational preferences of the ligands. The results are consistent with ligand binding data derived from chimeric and mutant receptor studies as well as structure-activity relationship data reported on a wide range of fentanyl analogues. The binding site model is also compared to that of N-phenethylnormorphine. An overlay of the bound conformation of the opiate and cis-3-methylfentanyl shows the N-phenethyl groups occupy equivalent binding domains in the receptor. While the cationic amines of both ligand classes were found docked to an established anchor site (D149 in TM-III), no overlap was observed between the N-phenylpropanamide group and the remaining components of the opiate scaffold. The unique binding mode(s) proposed for the fentanyl series may, in part, explain the difficulties encountered in defining models of recognition at the mu-receptor and suggest opioid receptors may display multiple binding epitopes. Furthermore, the results provide new insight to the design of experiments aimed at understanding the structural basis to the differential selectivities of ligands at the mu-, delta-, and kappa-opioid receptors.

Amino Acid Sequence↗

Docking of chiral molecules on twisted and helical nanotubes: nanomechanical control of catalysis.

We theoretically demonstrate the possibility of dynamically controlling catalysis by nanomechanical means. This novel methodology is based on switching the configuration (activity) of catalysts docked on nanoscale surfaces that are reversibly deformed. We test the approach by molecular dynamics simulations of an organic chiral catalyst that is docked by van der Waals coupling on twisted carbon nanotubes. Our results show that its catalytic activity is sharply correlated with the direction and amount of the nanotube twist. We also observe a small selectivity in docking of chiral molecules on straight helical nanotubes.

Adsorption↗

NMR-restrained docking of a peptidic inhibitor to the N-terminal domain of the phosphoenolpyruvate:sugar phosphotransferase enzyme I.

Starting from the NMR structure of the binary complex between the N-terminal domain of the unphosphorylated enzyme I (EIN) of the phosphoenolpyruvate:sugar phosphotransferase (PTS) and the histidine-containing phosphocarrier protein (HPr), a molecular model of the phosphorylated transition state of the related complex was established using constrained simulated annealing. The coordinates of the phosphorylated EIN enzyme were then used in a second step for flexible docking of a decapeptide inhibitor of EIN whose enzyme-bound conformation itself was determined by NMR using transferred nuclear Overhauser effects. Two phosphorylation models of the peptide inhibitor were investigated and shown to be both functional. Interestingly, one model is very similar to that of the complex between EIN and its natural substrate HPr. The present study demonstrates that NMR-guided flexible docking constitutes an interesting tool for docking highly flexible peptide ligands and facilitates the upcoming protein-based design of nonpeptide EIN inhibitors for discovering new antibiotics.

Amino Acid Sequence↗

Validation of a new restraint docking method for solution structure determinations of protein-ligand complexes.

A new method is proposed for docking ligands into proteins in cases where an NMR-determined solution structure of a related complex is available. The method uses a set of experimentally determined values for protein-ligand, ligand-ligand, and protein-protein restraints for residues in or near to the binding site, combined with a set of protein-protein restraints involving all the other residues which is taken from the list of restraints previously used to generate the reference structure of a related complex. This approach differs from ordinary docking methods where the calculation uses fixed atomic coordinates from the reference structure rather than the restraints used to determine the reference structure. The binding site residues influenced by replacing the reference ligand by the new ligand were determined by monitoring differences in 1H chemical shifts. The method has been validated by showing the excellent agreement between structures of L. casei dihydrofolate reductase trimetrexate calculated by conventional methods using a full experimentally determined set of restraints and those using this new restraint docking method based on an L. casei dihydrofolate reductase methotrexate reference structure.

Binding Sites↗

Modified AutoDock for accurate docking of protein kinase inhibitors.

Protein kinases are an important class of enzymes controlling virtually all cellular signaling pathways. Consequently, selective inhibitors of protein kinases have attracted significant interest as potential new drugs for many diseases. Computational methods, including molecular docking, have increasingly been used in the inhibitor design process [1]. We have considered several docking packages in order to strengthen our kinase inhibitor work with computational capabilities. In our experience, AutoDock offered a reasonable combination of accuracy and speed, as opposed to methods that specialize either in fast database searches or detailed and computationally intensive calculations. However, AutoDock did not perform well in cases where extensive hydrophobic contacts were involved, such as docking of SB203580 to its target protein kinase p38. Another shortcoming was a hydrogen bonding energy function, which underestimated the attraction component and, thus, did not allow for sufficiently accurate modeling of the key hydrogen bonds in the kinase-inhibitor complexes. We have modified the parameter set used to model hydrogen bonds, which increased the accuracy of AutoDock and appeared to be generally applicable to many kinase-inhibitor pairs without customization. Binding to largely hydrophobic sites, such as the active site of p38, was significantly improved by introducing a correction factor selectively affecting only carbon and hydrogen energy grids, thus, providing an effective, although approximate, treatment of solvation.

Adenosine Diphosphate↗

A review of protein-small molecule docking methods.

The binding of small molecule ligands to large protein targets is central to numerous biological processes. The accurate prediction of the binding modes between the ligand and protein, (the docking problem) is of fundamental importance in modern structure-based drug design. An overview of current docking techniques is presented with a description of applications including single docking experiments and the virtual screening of databases.

Algorithms↗

CoMFA and docking study of novel estrogen receptor subtype selective ligands.

We present the results from a Comparative Molecular Field Analysis (CoMFA) and docking study of a diverse set of 36 estrogen receptor ligands whose relative binding affinities (RBA) with respect to 17beta-Estradiol were available in both isoforms of the nuclear estrogen receptors (ER alpha, ER beta). Initial CoMFA models exhibited a correlation between the experimental relative binding affinities and the molecular steric and electrostatic fields; ER alpha: r2 = 0.79, q2 = 0.44 ER beta: r2 = 0.93, q2 = 0.63. Addition of the solvation energy of the isolated ligand improved the predictive nature of the ER beta model initially; r2 = 0.96, q2 = 0.70 but upon rescrambling of the data-set and reselecting the training set at random, inclusion of the ligand solvation energy was found to have little effect on the predictive nature of the CoMFA models. The ligands were then docked inside the ligand binding domain (LBD) of both ER alpha and ER beta utilizing the docking program Gold, after-which the program CScore was used to rank the resulting poses. Inclusion of both the Gold and CScore scoring parameters failed to improve the predictive ability of the original CoMFA models. The subtype selectivity expressed as RBA(ER alpha/ER beta) of the test sets was predicted using the most predictive CoMFA models, as illustrated by the cross-validated r2. In each case the most selective ligands were ranked correctly illustrating the utility of this method as a prescreening tool in the development of novel estrogen receptor subtype selective ligands.

Binding Sites↗

Docking and scoring of metallo-beta-lactamases inhibitors.

The performance of the AutoDock, GOLD and FlexX docking programs was evaluated for docking of dicarboxylic acid inhibitors into metallo-beta-lactamases (MBLs). GOLD provided the best overall performance, with RMSDs between experimental and docked structures of 1.8-2.6 A and a good correlation between the experimentally determined MBL-inhibitor affinities and the GOLD scores. GOLD was selected for a test including a broad spectrum of inhibitors for which experimental MBL-inhibitor binding affinities are available. This study revealed that (1) for most compound classes (dicarboxylic acids, tetrazoles, sulfonylhydrazones, and peptide-like compounds) there is a good correlation between the experimentally determined MBL-inhibitor affinities and the GOLD scores, (2) the correlation only holds within a given class, that is, scores of compounds from different classes cannot be directly compared, (3) for some compound classes (e.g. small sulphur compounds) there is no direct correlation between the experimentally determined MBL-inhibitor affinities and the GOLD scores. Using partial least squares methods, a model with R2 = 0.82 and Q2 = 0.78 for the training set was obtained based on the GOLD score and descriptors associated with binding of the IMP-1 inhibitors to the enzyme. The external Q2 for the test set is 0.73. This final model for prediction of IMP-1 MBL-inhibitor affinity handled all known classes of MBL-inhibitors, except small sulphur compounds.

Computational Biology↗

Ca2+/calmodulin signals the completion of docking and triggers a late step of vacuole fusion.

The basic reaction mechanisms for membrane fusion in the trafficking of intracellular membranes and in exocytosis are probably identical. But in contrast to regulated exocytosis, intracellular fusion reactions are referred to as 'constitutive' as no final Ca2+-dependent triggering step has been observed. Although transport from the endoplasmic reticulum to the Golgi apparatus in the cell depends on Ca2+, as does endosome fusion and assembly of the nuclear envelope, it is unclear whether Ca2+ triggers these events. Membrane fusion involves several subreactions: priming, tethering and docking. Proteins that are needed for fusion include p115, SNAPs, NSF, SNAREs and small GTPases, which operate in these early reactions, but the machinery that catalyses the final mixing of biological membranes is still unknown. Here we show that Ca2+ is released from the vacuolar lumen following completion of the docking step. We have identified calmodulin as the putative Ca2+ sensor and as the first component required in the post-docking phase of vacuole fusion. Calmodulin binds tightly to vacuoles upon Ca2+ release. Unlike synaptotagmin or syncollin in exocytosis, calmodulin does not act as a fusion clamp but actively promotes bilayer mixing. Hence, activation of SNAREs is not sufficient to drive bilayer mixing between physiological membranes. We propose that Ca2+ control of the latest phase of membrane fusion may be a conserved feature, relevant not only for exocytosis, but also for intracellular, 'constitutive' fusion reactions. However, the origin of the Ca2+ signal, its receptor and its mode of processing differ.

Calcium↗

Prediction of the structure of a receptor-protein complex using a binary docking method.

To validate procedures of rational drug design, it is important to develop computational methods that predict binding sites between a protein and a ligand molecule. Many small molecules have been tested using such programs, but examination of protein-protein and peptide-protein interactions has been sparse. We were able to test such applications once the structures of both the maltose-binding protein (MBP) and the ligand-binding domain of the aspartate receptor, which binds MBP, became available. Here we predict the binding site of MBP to its receptor using a 'binary docking' technique in which two MBP octapeptide sequences containing mutations that eliminate maltose chemotaxis are independently docked to the receptor. The peptides in the docked solutions superimpose on their original positions in the structure of MBP and allow the formation of an MBP-receptor complex. The consistency of the computational and biological results supports this approach for predicting protein-protein and peptide-protein interactions.

Amino Acid Sequence↗

A post-docking role for active zone protein Rim.

Rim1 was previously identified as a Rab3 effector localized to the presynaptic active zone in vertebrates. Here we demonstrate that C. elegans unc-10 mutants lacking Rim are viable, but exhibit behavioral and physiological defects that are more severe than those of Rab3 mutants. Rim is localized to synaptic sites in C. elegans, but the ultrastructure of the presynaptic densities is normal in Rim mutants. Moreover, normal levels of docked synaptic vesicles were observed in mutants, suggesting that Rim is not involved in the docking process. The level of fusion competent vesicles at release sites was reduced fivefold in Rim mutants, but calcium sensitivity of release events was unchanged. Furthermore, expression of a constitutively open form of syntaxin suppressed the physiological defects of Rim mutants, suggesting Rim normally acts to regulate conformational changes in syntaxin. These data suggest Rim acts after vesicle docking likely via regulating priming.

Adaptor Proteins, Signal Transducing↗

A common RNA loop motif as a docking module and its function in the hammerhead ribozyme.

Here I present a three-dimensional model of a novel element of RNA tertiary structure. A common loop motif composed of adjacent, sheared G.A and A.N non-canonical base pairs is proposed to form long-range tertiary interactions with other RNA residues. The widespread distribution of this G.A/A.N docking module suggests that the putative long-range docking interaction plays an important role in specifying the tertiary structure of large RNAs, and perhaps the quaternary structure of some intermolecular RNA-RNA interactions. Application of this docking module hypothesis to the hammerhead ribozyme provides crucial constraints for the calculation of three-dimensional models of its self-cleaving conformation.

Base Sequence↗

Mae inhibits Pointed-P2 transcriptional activity by blocking its MAPK docking site.

During Drosophila melanogaster eye development, signaling through receptor tyrosine kinases (RTKs) leads to activation of a mitogen activated protein tyrosine kinase, called Rolled. Key nuclear targets of Rolled are two antagonistic transcription factors: Yan, a repressor, and Pointed-P2 (Pnt-P2), an activator. A critical regulator of this process, Mae, can interact with both Yan and Pnt-P2 through their SAM domains. Although earlier work showed that Mae derepresses Yan-regulated transcription by depolymerizing the Yan polymer, the mechanism of Pnt-P2 regulation by Mae remained undefined. We find that efficient phosphorylation and consequent activation of Pnt-P2 requires a three-dimensional docking surface on its SAM domain for the MAP kinase, Rolled. Mae binding to Pnt-P2 occludes this docking surface, thereby acting to downregulate Pnt-P2 activity. Docking site blocking provides a new mechanism whereby the cell can precisely modulate kinase signaling at specific targets, providing another layer of regulation beyond the more global changes effected by alterations in the activity of the kinase itself.

Amino Acid Sequence↗

Monomer adds to preformed structured oligomers of Abeta-peptides by a two-stage dock-lock mechanism.

Nonfibrillar soluble oligomers, which are intermediates in the transition from monomers to amyloid fibrils, may be the toxic species in Alzheimer's disease. To monitor the early events that direct assembly of amyloidogenic peptides we probe the dynamics of formation of (Abeta(16-22))(n) by adding a monomer to a preformed (Abeta(16-22))(n-1) (n = 4-6) oligomer in which the peptides are arranged in an antiparallel beta-sheet conformation. All atom molecular dynamics simulations in water and multiple long trajectories, for a cumulative time of 6.9 mus, show that the oligomer grows by a two-stage dock-lock mechanism. The largest conformational change in the added disordered monomer occurs during the rapid ( approximately 50 ns) first dock stage in which the beta-strand content of the monomer increases substantially from a low initial value. In the second slow-lock phase, the monomer rearranges to form in register antiparallel structures. Surprisingly, the mobile structured oligomers undergo large conformational changes in order to accommodate the added monomer. The time needed to incorporate the monomer into the fluid-like oligomer grows even when n = 6, which suggests that the critical nucleus size must exceed six. Stable antiparallel structure formation exceeds hundreds of nanoseconds even though frequent interpeptide collisions occur at elevated monomer concentrations used in the simulations. The dock-lock mechanism should be a generic mechanism for growth of oligomers of amyloidogenic peptides.

Amyloid beta-Peptides↗

Structure of the interferon-receptor complex determined by distance constraints from double-mutant cycles and flexible docking.

The pleiotropic activity of type I interferons has been attributed to the specific interaction of IFN with the cell-surface receptor components ifnar1 and ifnar2. To date, the structure of IFN has been solved, but not that of the receptor or the complex. In this study, the structure of the IFN-alpha 2-ifnar2 complex was generated with a docking procedure, using nuclear Overhauser effect-like distance constraints obtained from double-mutant cycle experiments. The interaction free energy between 13 residues of the ligand and 11 of the receptor was measured by double-mutant cycles. Of the 100 pairwise interactions probed, five pairs of residues were found to interact. These five interactions were incorporated as distance constraints into the flexible docking program prodock by using fixed and movable energy-gradient grids attached to the receptor and ligand, respectively. Multistart minimization and Monte Carlo minimization docking of IFN-alpha 2 onto ifnar2 converged to a well-defined average structure, with the five distance constraints being satisfied. Furthermore, no structural artifacts or intraloop energy strain were observed. The mutual binding sites on IFN-alpha 2 and ifnar2 predicted from the model showed an almost complete superposition with the ones determined from mutagenesis studies. Based on this structure, differences in IFN-alpha 2 versus IFN-beta binding are discussed.

Interferon-alpha↗

Binding of the synaptic vesicle v-SNARE, synaptotagmin, to the plasma membrane t-SNARE, SNAP-25, can explain docked vesicles at neurotoxin-treated synapses.

Neurotransmitter release requires the specific docking of synaptic vesicles to the presynaptic plasma membrane followed by a calcium-triggered fusion event. Herein we report a previously unsuspected interaction of the synaptic vesicle protein and likely calcium sensor synaptotagmin with the plasma membrane t-SNARE SNAP-25. This interaction appears to resolve the apparent paradox that synaptic vesicles are capable of docking even when VAMP (vesicle-associated membrane protein) or syntaxin is cleaved or deleted and suggests that two species of v-SNAREs (VAMP and synaptotagmin) and two species of t-SNAREs (SNAP-25 and syntaxin) interact to functionally dock synaptic vesicles.

Animals↗

Domain requirements for the Dock adapter protein in growth- cone signaling.

Tyrosine phosphorylation has been implicated in growth-cone guidance through genetic, biochemical, and pharmacological studies. Adapter proteins containing src homology 2 (SH2) domains and src homology 3 (SH3) domains provide a means of linking guidance signaling through phosphotyrosine to downstream effectors regulating growth-cone motility. The Drosophila adapter, Dreadlocks (Dock), the homolog of mammalian Nck containing three N-terminal SH3 domains and a single SH2 domain, is highly specialized for growth-cone guidance. In this paper, we demonstrate that Dock can couple signals in either an SH2-dependent or an SH2-independent fashion in photoreceptor (R cell) growth cones, and that Dock displays different domain requirements in different neurons.

Adaptor Proteins, Signal Transducing↗

Ran binding domains promote the interaction of Ran with p97/beta-karyopherin, linking the docking and translocation steps of nuclear import.

Nuclear protein import is accomplished by two sequential events; docking at the nuclear pore complex followed by ATP-dependent translocation across the nuclear envelope. Docking of nuclear targeted proteins requires a 56-kDa nuclear localization signal receptor (alpha-karyopherin, importin-alpha, SRP1 alpha) and a 97-kDa protein (beta-karyopherin, importin-beta). Components necessary for translocation include the Ran/TC4 GTPase and NTF2/B-2. The functions of these factors at a molecular level remain unclear. We have now found that a complex of Ran, in the GTP-bound state, with either the Ran binding protein, RanBP1, or an isolated Ran binding domain binds with high affinity and specificity to beta-karyopherin to form a ternary complex. We find that a C-terminal truncation mutant of Ran, delta-DE Ran, also binds to beta-karyopherin and that delta-DE Ran can associate with a cytosolic, multiprotein complex that contains beta-karyopherin and another delta-DE Ran binding protein of 115/120 kDa. These data suggest a physical link between docking and translocation mediated by a Ran GTPase-Ran binding protein complex.

Amino Acid Sequence↗