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Structural delineation of the calcineurin-NFAT interaction and its parallels to PP1 targeting interactions.

Calcineurin is a phosphoprotein phosphatase that channels intracellular Ca signals into multiple biological pathways. Calcineurin is known to interact directly with its substrate nuclear factor of activated T cells (NFAT or NFATc), with other substrates, and with several targeting and scaffold proteins including AKAP79 and Cabin1/cain. The calcineurin-NFAT interaction depends on recognition of a PxIxIT sequence motif present in NFAT-family proteins and in certain other calcineurin-interacting proteins. Here, we define the structural basis for the interaction of calcineurin with NFAT and with other proteins possessing the PxIxIT motif. The calcineurin-PxIxIT contact has a direct parallel in the contact of protein phosphatase 1 with its regulatory proteins, suggesting that the evolution of these related phosphatases involved local remodelling of an ancestral docking site.

Amino Acid Sequence↗

Molecular basis for the binding of competitive inhibitors of maize polyamine oxidase.

Maize polyamine oxidase (MPAO), the only member of the polyamine oxidase (PAO) family whose three-dimensional structure is known, is characterized by a 30 A long U-shaped catalytic tunnel located between the substrate binding domain and the FAD. To shed light on the MPAO ligand binding mode, we studied the inhibition properties of linear diamines, agmatine, prenylagmatine (G3), G3 analogues, and guazatine, and analyzed the structural determinants of their biological activity. Linear diamines competitively inhibited MPAO, with the inhibitory activity increasing as a function of the number of methylene groups. With regard to the guanidino competitive inhibitors, including agmatine, G3, and G3 analogues, the presence of a hydrophobic substituent constitutes the principal factor influencing MPAO inhibition, as the addition of a hydrophobic substituent to the guanidino group of both G3 and G3 analogues greatly increases the inhibitory activity. Moreover, results obtained by a molecular modeling procedure indicated that in their preferred orientation, G3 analogues point the ammonium group toward the narrow entrance of the tunnel, while the terminal hydrophobic group is located within the large entrance. The high binding affinity for MPAO exhibited by G3 and G3 analogues bearing a prenyl group as a substituent on the guanidino moiety is in agreement with the observation that the prenyl group binds in a well-defined hydrophobic pocket, mainly formed by aromatic residues. Finally, docking simulations performed with the charged and uncharged forms of MPAO inhibitors indicate that the stereoelectronic properties of the MPAO active site are consistent with the binding of inhibitors in the protonated form.

Agmatine↗

A methodology for efficiently sampling the conformation space of molecular structures.

Motivated by recently developed computational techniques for studying protein flexibility, and their potential applications in docking, we propose an efficient method for sampling the conformational space of complex molecular structures. We focus on the loop closure problem, identified in the work of Thorpe and Lei (2004 Phil. Mag. 84 1323-31) as a primary bottleneck in the fast simulation of molecular motions. By modeling a molecular structure as a branching robot, we use an intuitive method in which the robot holds onto itself for maintaining loop constraints. New conformations are generated by applying random external forces, while internal, attractive forces pull the loops closed. Our implementation, tested on several model molecules with low number of degrees of freedom but many interconnected loops, gives promising results that show an almost four times speed-up on the benchmark cube-molecule of Thorpe and Lei.

Algorithms↗

Study of a ligand complexed with Cdk2/Cdk4 by computer simulation.

Cyclin-dependent kinases (Cdks) play important roles in the regulation of the cell cycle. Their inhibitors have entered clinical trials to treat cancer. Very recently, Davis et al. (Nat Struct Biol 9:745-749, 2002) have found a ligand NU6102, which has a high affinity with cyclin-dependent kinase 2 (K(i) = 6 nM) but a low affinity with cyclin-dependent kinase 4 (K(i) = 1,600 nM). To understand the selectivity, we use homology modeling, molecular docking, molecular dynamics and free-energy calculations to analyze the interactions. A rational 3D model of the Cdk4-NU6102 complex is built. Asp86 is a key residue that recognizes NU6102 more effectively with Cdk2 rather than Cdk4. Good binding free energies are obtained. Energetic analysis reveals that van der Waals interaction and nonpolar contributions to solvent are favorable in the formation of complexes and the sulfonamide group of the ligand plays a crucial role for binding selectivity between Cdk2 and Cdk4.

Amino Acid Sequence↗

In-silico screening using flexible ligand binding pockets: a molecular dynamics-based approach.

In-silico screening of flexible ligands against flexible ligand binding pockets (LBP) is an emerging approach in structure-based drug discovery. Here, we describe a molecular dynamics (MD) based docking approach to investigate the influence on the high-throughput in-silico screening of small molecules against flexible ligand binding pockets. In our approach, an ensemble of 51 energetically favorable structures of the LBP of human estrogen receptor alpha (hERalpha) were collected from 3 ns MD simulations. In-silico screening of 3500 endocrine disrupting compounds against these flexible ligand binding pockets resulted in thousands of ER-ligand complexes of which 582 compounds were unique. Detailed analysis of MD generated structures showed that only 17 of the LBP residues significantly contribute to the overall binding pocket flexibility. Using the flexible LBP conformations generated, we have identified 32 compounds that bind better to the flexible ligand-binding pockets compared to the crystal structure. These compounds, though chemically divergent, are structurally similar to the natural hormone. Our MD-based approach in conjunction with grid-based distributed computing could be applied routinely for in-silico screening of large databases against any given target.

Amino Acid Sequence↗

Model building of a protein-protein complexed structure using saturation transfer and residual dipolar coupling without paired intermolecular NOE.

For understanding the precise mechanisms of molecular recognition of proteins, three-dimensional structural analyses of the protein-protein complexes are essential. For this purpose, a new method to reveal complex structures was developed with the assistance of saturation transfer (SAT) and residual dipolar coupling (RDC) by heteronuclear NMR experiments, without any paired intermolecular NOE information. The SAT and RDC experiments provide the information of the interfacial residues and the relative orientations of the two protein molecules, respectively. Docking simulation was then made to reconstruct a complex conformation, which satisfies the SAT and RDC data. The method was applied to the CAD-ICAD complex structure, which was previously determined by the NOE-distance geometry method. The quality of the current model was evaluated.

Animals↗

HIV-1 protease flaps spontaneously close to the correct structure in simulations following manual placement of an inhibitor into the open state.

We report unrestrained, all-atom molecular dynamics simulations of HIV-1 protease (HIV-PR) with a continuum solvent model that reproducibly sample closing of the active site flaps following manual placement of a cyclic urea inhibitor into the substrate binding site of the open protease. The open form was obtained from the unbound, semi-open HIV-PR crystal structure, which we recently reported (Hornak, V.; et al. Proc. Natl. Acad. Sci. U.S.A. 2006, 103, 915-920.) to have spontaneously opened during unrestrained dynamics. In those simulations, the transiently open flaps always returned to the semi-open form that is observed in all crystal structures of the free protease. Here, we show that manual docking of the inhibitor reproducibly induces spontaneous conversion to the closed form as seen in all inhibitor-bound HIV-PR crystal structures. These simulations reproduced not only the greater degree of flap closure, but also the striking difference in flap "handedness" between bound and free enzyme. In most of the simulations, the final structures were highly accurate. Root-mean-square deviations (RMSD) from the crystal structure of the complex were approximately 1.5 A (averaged over the last 100 ps) for the inhibitor and each flap despite initial RMSD of 2-5 A for the inhibitors and 6-11 A for the flaps. Key hydrogen bonds were formed between the flap tips and between flaps and inhibitor that match those seen in the crystal structure. The results demonstrate that all-atom simulations have the ability to significantly improve poorly docked ligand conformations and reproduce large-scale receptor conformational changes that occur upon binding.

Azepines↗

Ricin A-chain structural determinant for binding substrate analogues: a molecular dynamics simulation analysis.

Ricin A-chain is a cytotoxic protein that attacks ribosomes by hydrolyzing a specific adenine base from a highly conserved, single-stranded rRNA hairpin containing the tetraloop sequence GAGA. Molecular-dynamics simulation methods are used to analyze the structural determinant for three substrate analogues bound to the ricin A-chain molecule. Simulations were applied to the binding of the dinucleotide adenyl-3',5'-guanosine employing the x-ray crystal structure of the ricin complex and a modeled CGAGAG hexanucleotide loop taken from the NMR solution structure of a 29-mer oligonucleotide hairpin. A third simulation model is also presented describing a conformational search of the docked 29-mer structure by using a simulated-annealing method. Analysis of the structural interaction energies for each model shows the overall binding dominated by nonspecific interactions, which are mediated by specific arginine contracts from the highly basic region on the protein surface. The tetraloop conformation of the 29-mer was found to make specific interactions with conserved protein residues, in a manner that favored the GAGA sequence. A comparison of the two docked loop conformations with the NMR structure revealed significant positional deviations, suggesting that ricin may use an induced fit mechanism to recognize and bind the rRNA substrate. The conserved Tyr-80 may play an important conformational entropic role in the binding and release of the target adenine in the active site.

Binding Sites↗

Molecular modeling of the conformational complexity of (+)-anti-B[a]PDE-adducted DNA using simulated annealing.

Benzo[a]pyrene (B[a]P), a potent mutagen/carcinogen, reacts with DNA following metabolism to its corresponding (+)-anti-7,8-diol-9,10-epoxide [(+)-anti-B[a]PDE], giving a major adduct (+)-trans-anti-B[a]P-N2-dG. Evidence suggests that this adduct is responsible for most of the different kinds of mutations (e.g. G-->T, G-->A, etc.) induced by (+)-anti-B[a]PDE, raising the question of how can a single adduct cause many different kinds of mutations? One hypothesis is that different mutations are induced depending upon the conformation of this adduct when bypassed during DNA replication. If true, then it becomes imperative to explore different reasonable conformations for this adduct. Herein a simulated annealing protocol is employed to study the conformation of (+)-trans-anti-B[a]P-N2-dG with the B[a]P moiety in the minor groove and pointing toward the base on its 5'-side in a 5'-CGC-3' sequence context in duplex DNA. This conformation and sequence were chosen because there is a structure derived from NMR constraints for comparison. A four step procedure is followed: the adduct is docked in canonical B-DNA, after which the structure is subjected to an initial conjugate gradient minimization, followed by simulated annealing and a final conjugate gradient minimization. The quality and final energy of structures is assessed as a function of changes in six parameters, including the length of the DNA helix, the initial annealing temperature (T0), the annealing time (t), the molecular dynamics time step (tau) and two other parameters. While there is no single set of optimum parameters, reasonable low energy structures were obtained using the values t approximately 40 ps (or longer), T0 approximately 750 K and tau approximately 1.0 fs with a helix length of 7 bp. The structures that emerge all retain the basic features of the input structure, being B-DNA-like with the B[a]P moiety in the minor groove pointing toward the base on the 5'-side. However, within this broad category there are at least six subclasses of structures, of which four have lowest energy members that differ by < approximately 5 kcal/mol. The fact that a variety of distinct but related structures emerge from a single starting structure as this parameter set is varied suggests that the use of a large but manageable number of simulated annealing runs should be considered in the search for a cohort of related structures. This is especially important given that this breadth of potentially relevant structures of approximately the same energy may indeed be relevant to the hypothesis that different mutations arise from a single adduct in different conformations.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide↗

Evidence that interspecies polymorphism in the human and rat cholecystokinin receptor-2 affects structure of the binding site for the endogenous agonist cholecystokinin.

The cholecystokinin (CCK) receptor-2 exerts very important central and peripheral functions by binding the neuropeptides cholecystokinin or gastrin. Because this receptor is a potential therapeutic target, great interest has been devoted to the identification of efficient antagonists. However, interspecies genetic polymorphism that does not alter cholecystokinin-induced signaling was shown to markedly affect activity of synthetic ligands. In this context, precise structural study of the agonist binding site on the human cholecystokinin receptor-2 is a prerequisite to elucidating the molecular basis for its activation and to optimizing properties of synthetic ligands. In this study, using site-directed mutagenesis and molecular modeling, we delineated the binding site for CCK on the human cholecystokinin receptor-2 by mutating amino acids corresponding to that of the rat homolog. By doing so, we demonstrated that, although resembling that of rat homolog, the human cholecystokinin receptor-2 binding site also displays important distinct structural features that were demonstrated by susceptibility to several point mutations (F120A, Y189A, H207A). Furthermore, docking of CCK in the human and rat cholecystokinin receptor-2, followed by dynamic simulations, allowed us to propose a plausible structural explanation of the experimentally observed difference between rat and human cholecystokinin-2 receptors.

Amino Acid Sequence↗

Development and testing of an automated approach to protein docking.

A new version of GRAMM was applied to Targets 14, 18, and 19 in CAPRI Round 5. The predictions were generated without manual intervention. Ten top-ranked matches for each target were submitted. The docking was performed by a rigid-body procedure with a smoothed potential function to accommodate conformational changes. The first stage was a global search on a fine grid with a projection of a smoothed Lennard-Jones potential. The top predictions from the first stage were subjected to the conjugate gradient minimization with the same smoothed potential. The resulting local minima were reranked according to the weighted sum of Lennard-Jones potential, pairwise residue-residue statistical preferences, cluster occupancy, and the degree of the evolutionary conservation of the predicted interface. For Targets 14 and 18, the conformation of the complex was predicted with root-mean-square deviation (RMSD) of the ligand interface atoms 0.68 A and 1.88 A correspondingly. For Target 19, the interface areas on both proteins were correctly predicted. The performance of the procedure was also analyzed on the benchmark of bound-unbound protein complexes. The results show that, on average, conformations of only 3 side-chains need to be optimized during docking of unbound structures before the backbone changes become a limiting factor. The GRAMM-X docking server is available for public use at http://www.bioinformatics.ku.edu.

Algorithms↗

Induced fit in mouse acetylcholinesterase upon binding a femtomolar inhibitor: a molecular dynamics study.

A molecular dynamics simulation of mouse acetylcholinesterase (mAChE) complexed with syn-TZ2PA6, a femtomolar AChE inhibitor, is compared to a simulation of unliganded mAChE. The simulation of the complex was initiated by placing the inhibitor in its bound conformation of the crystal complex into a structure of unliganded mAChE selected from preliminary protein-ligand docking results. During a 2 ns period, the enzyme subsequently displayed a substantial "induced fit" response to yield a conformation very similar to that obtained by crystallography (Bourne et al. Proc. Natl. Acad. Sci. U.S.A. 2004, 101, 1449-1454). In this conformation of unique nature, the Trp 286 side chain of the enzyme flips out of the hydrophobic core and becomes highly solvent exposed. The imidazole ring of His 287 is almost orthogonal relative to its position in the unliganded enzyme, creating a stable pi stacking arrangement with the Trp 286 side chain. Other major deviations among the active site residues include side chain conformational changes of Trp 86, Tyr 133, Tyr 337, and Phe 338. These residues in the complex deviate from their positions in unliganded mAChE to better accommodate the inhibitor in the active site gorge.

Acetylcholinesterase↗

Tautomerism in computer-aided drug design.

Tautomers are often disregarded in computer-aided molecular modeling applications. Little is known about the different tautomeric states of a molecule and they are rarely registered in chemical databases. Tautomeric forms of a molecule differ in shape, functional groups, surface, and hydrogen-bonding pattern. Calculation of physical-chemical properties and molecular descriptors differ from one tautomeric state to the other as it is demonstrated with an example of the log P calculation, similarity index, and the complementarity pattern to the targeted protein. Considering tautomery in ligand-protein interactions therefore has a significant impact on the prediction of the ligand binding using various docking techniques. This article points on hitherto unaddressed issue of tautomerism in computer-aided drug design.

Binding Sites↗

The heparin-Ca(2+) interaction: the influence of the O-sulfation pattern on binding.

The specific binding of Ca(2+) to synthetic hexasaccharide models of modified heparin has been investigated by NMR and molecular modeling and compared with previous results on a model of regular heparin. These two models represent the regular region of heparin lacking one type of O-sulfate group, either at C-6 of glucosamine or at C-2 of iduronate. The NMR experiments show different responses to the presence of Ca(2+). In the case of the compound lacking O-sulfate groups at C-2, the results are indicative of specific binding similar to that observed for the regular heparin, while the model lacking sulfate groups in position 6 interacts more weakly with Ca(2+). In order to understand the basis of this difference, a molecular modeling study based on a rigid body docking approach of the interaction of these carbohydrates with Ca(2+) and Na(+) was performed. We have found that the results are strongly dependent on the starting orientation of the lateral side chains of the charged groups of the carbohydrate, and that the best agreement with the experimental results is obtained when the starting conformations are taken from previous simulations in the presence of Ca(2+).

Calcium↗

Cation-mediated interplay of loops in chaperonin-10.

The ubiquitously occurring chaperonins consist of a large tetradecameric Chaperonin-60, forming a cylindrical assembly, and a smaller heptameric Chaperonin-10. For a functional protein folding cycle, Chaperonin-10 caps the cylindrical Chaperonin-60 from one end forming an asymmetric complex. The oligomeric assembly of Chaperonin-10 is known to be highly plastic in nature. In Mycobacterium tuberculosis, the plasticity has been shown to be modulated by reversible binding of divalent cations. Binding of cations confers rigidity to the metal binding loop, and also promotes stability of the oligomeric structure. We have probed the conformational effects of cation binding on the Chaperonin-10 structure through fluorescence studies and molecular dynamics simulations. Fluorescence studies show that cation binding induces reduced exposure and flexibility of the dome loop. The simulations corroborate these results and further indicate a complex landscape of correlated motions between different parts of the molecule. They also show a fascinating interplay between two distantly spaced loops, the metal binding "dome loop" and the GroEL-binding "mobile loop", suggesting an important cation-mediated role in the recognition of Chaperonin-60. In the presence of cations the mobile loop appears poised to dock onto the Chaperonin-60 structure. The divalent metal ions may thus act as key elements in the protein folding cycle, and trigger a conformational switch for molecular recognition.

Bacterial Proteins↗

Modeling RNA-ligand interactions: the Rev-binding element RNA-aminoglycoside complex.

An approach to the modeling of ligand-RNA complexes has been developed by combining three-dimensional structure-activity relationship (3D-SAR) computations with a docking protocol. The ability of 3D-SAR to predict bound conformations of flexible ligands was first assessed by attempting to reconstruct the known, bound conformations of phenyloxazolines complexed with human rhinovirus 14 (HRV14) RNA. Subsequently, the same 3D-SAR analysis was applied to the identification of bound conformations of aminoglycosides which associate with the Rev-binding element (RBE) RNA. Bound conformations were identified by parsing ligand conformational data sets with pharmacophores determined by the 3D-SAR analysis. These "bioactive" structures were docked to the receptor RNA, and optimization of the complex was undertaken by extensive searching of ligand conformational space coupled with molecular dynamics computations. The similarity between the bound conformations of the ligand from the 3D-SAR analysis and those found in the docking protocol suggests that this methodology is valid for the prediction of bound ligand conformations and the modeling of the structure of the ligand-RNA complexes.

Aminoglycosides↗

A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

To alleviate the problems in the receptor-based design of metalloprotein ligands due to inadequacies in the force-field description of coordination bonds, a four-tier approach was devised. Representative ligand-metalloprotein interaction energies are obtained by subsequent application of (1) docking with metal-binding-guided selection of modes, (2) optimization of the ligand-metalloprotein complex geometry by combined quantum mechanics and molecular mechanics (QM/MM) methods, (3) conformational sampling of the complex with constrained metal bonds by force-field-based molecular dynamics (MD), and (4) a single point QM/MM energy calculation for the time-averaged structures. The QM/MM interaction energies are, in a linear combination with the desolvation-characterizing changes in the solvent-accessible surface areas, correlated with experimental data. The approach was applied to structural correlation of published binding free energies of a diverse set of 28 hydroxamate inhibitors to zinc-dependent matrix metalloproteinase 9 (MMP-9). Inclusion of steps 3 and 4 significantly improved both correlation and prediction. The two descriptors explained 90% of variance in inhibition constants of all 28 inhibitors, ranging from 0.08 to 349 nM, with the average unassigned error of 0.318 log units. The structural and energetic information obtained from the time-averaged MD simulation results helped understand the differences in binding modes of related compounds.

Binding Sites↗

Synthesis, biological evaluation, and molecular modeling of ribose-modified adenosine analogues as adenosine receptor agonists.

A number of 3'-C-methyl analogues of selective adenosine receptor agonists such as CPA, CHA, CCPA, 2'-Me-CCPA, NECA, and IB-MECA was synthesized to further investigate the subdomain of the receptor that binds the ribose moiety of the ligands. Affinity data at A(1), A(2A), and A(3) receptors in bovine brain membranes showed that the 3'-C-modification in adenosine resulted in a decrease of the affinity at all three receptor subtypes. When this modification was combined with N(6)-substitution with groups that induce high potency and selectivity at A(1) receptor, the affinity and selectivity were increased. However, all 3'-C-methyl derivatives proved to be very less active than the corresponding 2'-C-methyl analogues. The most active compound was found to be 3'-Me-CPA which displayed a K(i) value of 0.35 microM at A(1) receptor and a selectivity for A(1) vs A(2A) and A(3) receptors higher than 28-fold. 2'-Me-CCPA was confirmed to be the most selective, high affinity agonist so far known also at human A(1) receptor with a K(i) value of 3.3 nM and 2903- and 341-fold selective vs human A(2A) and A(3) receptors, respectively. In functional assay, 3'-Me-CPA, 3'-Me-CCPA, and 2-Cl-3'-Me-IB-MECA inhibited forskolin-stimulated adenylyl cyclase activity with IC(50) values ranging from 0.3 to 4.9 microM, acting as full agonists. A rhodopsin-based model of the bovine A(1)AR was built to rationalize the higher affinity and selectivity of 2'-C-methyl derivatives of N(6)-substituted-adenosine compared to that of 3'-C-methyl analogues. In the docking exploration, it was found that 2'-Me-CCPA was able to form a number of interactions with several polar residues in the transmembrane helices TM-3, TM-6, and TM-7 of bA(1)AR which were not preserved in the molecular dynamics simulation of 3'-Me-CCPA/bA(1)AR complex.

Adenosine↗