In Silico Identification of JMJD3 Demethylase Inhibitors.

In the search for new demethylase inhibitors, we have developed a multistep protocol for in silico screening. Millions of poses generated by high-throughput docking or a 3D-pharmacophore search are first minimized by a classical force field and then filtered by semiempirical quantum mechanical calculations of the interaction energy with a selected set of functional groups in the binding site. The final ranking includes solvation effects which are evaluated in the continuum dielectric approximation (finite-difference Poisson equation). Application of the multistep protocol to JMJD3 jumonji demethylase has resulted in a dozen low-micromolar inhibitors belonging to five different chemical classes. We have solved the crystal structure of JMJD3 inhibitor 8 in the complex with UTX (a demethylase in the same subfamily as JMJD3) which validates the predicted binding mode. Compound 8 is a promising candidate for future optimization as it has a favorable ligand efficiency of 0.32 kcal/mol per nonhydrogen atom.

Iriomoteolides: novel chemical tools to study actin dynamics.

Despite its promising biological profile, the cellular targets of iriomoteolide-3a, a novel 15-membered macrolide isolated from Amphidinium sp., have remained unknown. A small library of non-natural iriomoteolide-3a analogues is presented here as a result of a novel, highly convergent, catalysis-based scaffold-diversification campaign, which revealed the suitable sites for chemical editing in the original core. We provide compelling experimental evidence for actin as one of iriomoteolides' primary cellular targets, establishing the ability of these secondary metabolites to inhibit cell migration, induce severe morphological changes in cells and cause a reversible cytoplasmic retraction and reduction of F-actin fibers in a time and dose dependent manner. These results are interpreted in light of the ability of iriomoteolides to stabilize F-actin filaments. Molecular dynamics simulations provide evidence for iriomoteolide-3a binding to the barbed end of G-actin. These results showcase iriomoteolides as novel and easily tunable chemical probes for the in vitro study of actin dynamics in the context of cell motility processes including cell invasion and division.

Mechanism and Kinetics of Acetyl-Lysine Binding to Bromodomains.

Bromodomains are four-helix bundle proteins that specifically recognize acetylation of lysine side chains on histones. The available X-ray structures of bromodomain/histone tail complexes show that the conserved Asn residue in the loop between helices B and C is involved in a hydrogen bond with the acetyl-lysine side chain. Here we analyze the spontaneous binding of acetyl-lysine to the bromodomain TAF1(2) by the first molecular dynamics simulations of histone mark binding to an epigenetic reader protein. Multiple events of reversible association sampled along the unbiased simulations allow us to determine the pathway and kinetics of binding. The simulations show that acetyl-lysine has two major binding modes in TAF1(2) one of which corresponds to the available crystal structures and is stabilized by a hydrogen bond to the conserved Asn side chain. The other major binding mode is more buried than in the crystal structures and is stabilized by two hydrogen bonds with conserved residues of the loop between helices Z and A. In the more buried binding conformation, three of the six structured water molecules at the bottom of the binding pocket are displaced by the acetyl-lysine side chain. The kinetic analysis shows that the two binding modes interconvert on a faster time scale with respect to the association/dissociation process. The atomic-level description of the binding pathway and binding modes is useful for the design of small molecule modulators of histone binding to bromodomains.

Slow folding of cross-linked alpha-helical peptides due to steric hindrance.

The folding process of a 16-residue alpha-helical peptide with an azobenzene cross-linker (covalently bound to residues Cys3 and Cys14) is investigated by 50 molecular dynamics simulations of 4 micros each. The folding kinetics at 281 K show a stretched exponential behavior but become simpler and much faster when a distance restraint is used to emulate a nonbulky cross-linker. The free-energy basin of the helical state is divided into two subbasins by a barrier that separates helical conformations with opposite orientations of the Arg10 side chain with respect to the azobenzene cross-linker. In contrast, such barrier is not present in the helical basin of the peptide with the nonbulky cross-linker, which folds with speed similar to the unrestrained peptide. These results indicate that the cross-linker slows down folding because of steric hindrance rather than its restraining effect on the two ends of the helical segment.

CHARMM: the biomolecular simulation program.

CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estimators, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numerous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983.

Identification of the protein folding transition state from molecular dynamics trajectories.

The rate of protein folding is governed by the transition state so that a detailed characterization of its structure is essential for understanding the folding process. In vitro experiments have provided a coarse-grained description of the folding transition state ensemble (TSE) of small proteins. Atomistic details could be obtained by molecular dynamics (MD) simulations but it is not straightforward to extract the TSE directly from the MD trajectories, even for small peptides. Here, the structures in the TSE are isolated by the cut-based free-energy profile (cFEP) using the network whose nodes and links are configurations sampled by MD and direct transitions among them, respectively. The cFEP is a barrier-preserving projection that does not require arbitrarily chosen progress variables. First, a simple two-dimensional free-energy surface is used to illustrate the successful determination of the TSE by the cFEP approach and to explain the difficulty in defining boundary conditions of the Markov state model for an entropically stabilized free-energy minimum. The cFEP is then used to extract the TSE of a beta-sheet peptide with a complex free-energy surface containing multiple basins and an entropic region. In contrast, Markov state models with boundary conditions defined by projected variables and conventional histogram-based free-energy profiles are not able to identify the TSE of the beta-sheet peptide.

ETNA: equilibrium transitions network and Arrhenius equation for extracting folding kinetics from REMD simulations.

It is difficult to investigate folding kinetics by conventional atomistic simulations of proteins. The replica exchange molecular dynamics (REMD) simulation technique enhances conformational sampling at the expenses of reduced kinetic information, which in REMD is directly available only for very short time scales. Here, we propose a procedure for obtaining kinetic data from REMD by making use of the equilibrium transitions network (ETN) sampled at the temperature of interest. This information is supplemented by mean folding times extracted from ETNs at higher REMD temperatures and scaled according to the Arrhenius equation. The procedure is applied to a three-stranded antiparallel beta-sheet peptide which has a very heterogeneous denatured state with a broad entropic basin and several enthalpic traps. Despite the complexity of the system and the REMD exchange time of only 0.1 ns, the procedure is able to estimate folding times (ranging from about 0.1 micros at the melting temperature of 330 K to about 8 micros at 286 K) as well as transition times from individual non-native basins to the native state.

Complex network analysis of free-energy landscapes.

The kinetics of biomolecular isomerization processes, such as protein folding, is governed by a free-energy surface of high dimensionality and complexity. As an alternative to projections into one or two dimensions, the free-energy surface can be mapped into a weighted network where nodes and links are configurations and direct transitions among them, respectively. In this work, the free-energy basins and barriers of the alanine dipeptide are determined quantitatively using an algorithm to partition the network into clusters (i.e., states) according to the equilibrium transitions sampled by molecular dynamics. The network-based approach allows for the analysis of the thermodynamics and kinetics of biomolecule isomerization without reliance on arbitrarily chosen order parameters. Moreover, it is shown on low-dimensional models, which can be treated analytically, as well as for the alanine dipeptide, that the broad-tailed weight distribution observed in their networks originates from free-energy basins with mainly enthalpic character.

A molecular dynamics approach to the structural characterization of amyloid aggregation.

A novel computational approach to the structural analysis of ordered beta-aggregation is presented and validated on three known amyloidogenic polypeptides. The strategy is based on the decomposition of the sequence into overlapping stretches and equilibrium implicit solvent molecular dynamics (MD) simulations of an oligomeric system for each stretch. The structural stability of the in-register parallel aggregates sampled in the implicit solvent runs is further evaluated using explicit water simulations for a subset of the stretches. The beta-aggregation propensity along the sequence of the Alzheimer's amyloid-beta peptide (Abeta(42)) is found to be highly heterogeneous with a maximum in the segment V(12)HHQKLVFFAE(22) and minima at S(8)G(9), G(25)S(26), G(29)A(30), and G(38)V(39), which are turn-like segments. The simulation results suggest that these sites may play a crucial role in determining the aggregation tendency and the fibrillar structure of Abeta(42). Similar findings are obtained for the human amylin, a 37-residue peptide that displays a maximal beta-aggregation propensity at Q(10)RLANFLVHSSNN(22) and two turn-like sites at G(24)A(25) and G(33)S(34). In the third application, the MD approach is used to identify beta-aggregation "hot-spots" within the N-terminal domain of the yeast prion Ure2p (Ure2p(1-94)) and to design a double-point mutant (Ure2p-N4748S(1-94)) with lower beta-aggregation propensity. The change in the aggregation propensity of Ure2p-N4748S(1-94) is verified in vitro using the thioflavin T binding assay.

Replica exchange molecular dynamics simulations of amyloid peptide aggregation.

The replica exchange molecular dynamics (REMD) approach is applied to four oligomeric peptide systems. At physiologically relevant temperature values REMD samples conformation space and aggregation transitions more efficiently than constant temperature molecular dynamics (CTMD). During the aggregation process the energetic and structural properties are essentially the same in REMD and CTMD. A condensation stage toward disordered aggregates precedes the beta-sheet formation. Two order parameters, borrowed from anisotropic fluid analysis, are used to monitor the aggregation process. The order parameters do not depend on the peptide sequence and length and therefore allow to compare the amyloidogenic propensity of different peptides

Formation of the folding nucleus of an SH3 domain investigated by loosely coupled molecular dynamics simulations.

The experimentally well-established folding mechanism of the src-SH3 domain, and in particular the phi-value analysis of its transition state, represents a sort of testing table for computational investigations of protein folding. Here, parallel molecular dynamics simulations of the src-SH3 domain have been performed starting from denatured conformations. By rescuing and restarting only trajectories approaching the folding transition state, an ensemble of conformations was obtained with a completely structured central beta-sheet and a native-like packing of residues Ile-110, Ala-121, and Ile-132. An analysis of the trajectories shows that there are several pathways leading to the formation of the central beta-sheet whereas its two hairpins form in a different but consistent way.

Fragment-Based flexible ligand docking by evolutionary optimization.

A new computational approach for the efficient docking of flexible ligands in a rigid protein is presented. It exploits the binding modes of functional groups determined by an exhaustive search with solvation. The search in ligand conformational space is performed by a genetic algorithm whose scoring function approximates steric effects and intermolecular hydrogen bonds. Ligand conformations generated by the genetic algorithm are docked in the protein binding site by optimizing the fit of their fragments to optimal positions of chemically related functional groups. We show that the use of optimal binding modes of molecular fragments allows to dock known inhibitors with about ten rotatable bonds in the active site of the uncomplexed and complexed conformations of thrombin and HIV-1 protease.

Role of native topology investigated by multiple unfolding simulations of four SH3 domains.

The relative importance of amino acid sequence and native topology in the unfolding process of two SH3 domains and two circular permutants was investigated by 120 molecular dynamics runs at 375 K for a total simulation time of 0.72 micros. The alpha-spectrin (aSH3) and src SH3 (sSH3) domains, which have the same topology and a sequence identity of only 34%, show similar unfolding pathways. The disappearance of the three-stranded antiparallel beta-sheet is the last unfolding event, in agreement with a large repertoire of kinetic data derived from point mutations as well as glycine insertions and disulfide crosslinks. Two alternative routes of beta-sheet unfolding have emerged from the analysis of the trajectories. One is statistically preferred in aSH3 (n-src loop breaks before distal hair-pin) and the inverse in sSH3. An elongation of the beta2-beta3 hairpin was observed during the unfolding of sSH3 at 375 K and in 300 K simulations started from the putative transition state of sSH3 in accord with unusual kinetic data for point mutations at the n-src loop. The change of connectivity in the permutants influenced the sequence of unfolding events mainly at the permutation site. Regions where the connectivity remained unaffected showed the same chronology of contact disappearance. Taken together with previous folding simulations of two designed three-stranded antiparallel beta-sheet peptides, these results indicate that, at least for small beta-sheet proteins, the folding mechanism is primarily defined by the native state topology, whilst specific interactions determine the statistically predominant folding route.

Hydrophobicity and functionality maps of farnesyltransferase.

Farnesyltransferase (FTase) catalyzes the attachment of a 15-carbon isoprenoid moiety, farnesyl, through a thioether linkage to a cysteine near the C-terminus of oncogenic Ras proteins. These transform animal cells to a malignant phenotype when farnesylated. Hence, FTase is an interesting target for the development of antitumor agents. In this work we first investigate the active site of FTase by mapping its hydrophobic patches. Then the program SEED is used to dock functional groups into the active site by an exhaustive search and efficient evaluation of the binding energy with solvation. The electrostatic energy is SEED is based on the continuum dielectric approximation and consists of screened intermolecular energy and protein and fragment desolvation terms. The results are found to be consistent with the sequence variability of the tetrapeptide substrate. The distribution of functional groups (functionality maps) on the substrate binding site allows for identification of modifications of the tetrapeptide sequence that are consistent with potent peptidic inhibitors. Furthermore, the best minima of benzene match corresponding moieties of an inhibitor in clinical trials. The functionality maps are also used to design a library of disubstituted indoles that might prevent the binding of the protein substrates.

Native topology or specific interactions: what is more important for protein folding?

Fifty-five molecular dynamics runs of two three-stranded antiparallel beta-sheet peptides were performed to investigate the relative importance of amino acid sequence and native topology. The two peptides consist of 20 residues each and have a sequence identity of 15 %. One peptide has Gly-Ser (GS) at both turns, while the other has d-Pro-Gly ((D)PG). The simulations successfully reproduce the NMR solution conformations, irrespective of the starting structure. The large number of folding events sampled along the trajectories at 360 K (total simulation time of about 5 micros) yield a projection of the free-energy landscape onto two significant progress variables. The two peptides have compact denatured states, similar free-energy surfaces, and folding pathways that involve the formation of a beta-hairpin followed by consolidation of the unstructured strand. For the GS peptide, there are 33 folding events that start by the formation of the 2-3 beta-hairpin and 17 with first the 1-2 beta-hairpin. For the (D)PG peptide, the statistical predominance is opposite, 16 and 47 folding events start from the 2-3 beta-hairpin and the 1-2 beta-hairpin, respectively. These simulation results indicate that the overall shape of the free-energy surface is defined primarily by the native-state topology, in agreement with an ever-increasing amount of experimental and theoretical evidence, while the amino acid sequence determines the statistically predominant order of the events.

Efficient electrostatic solvation model for protein-fragment docking.

A method is presented for the fast evaluation of the binding energy of a protein-small molecule complex with electrostatic solvation. It makes use of a fast preprocessing step based on the assumption that the main contribution to electrostatic desolvation upon ligand binding originates from the displacement of the first shell of water molecules. For a rigid protein, the precomputation of the energy contributions on a set of grids allows the estimation of the energy in solution of about 300 protein-fragment binding modes per second on a personal computer. The docking procedure is applied to five rigid binding sites whose size ranges from 17 residues to a whole protein of 107 amino acids. Using a library of 70 mainly rigid molecules, known micromolar inhibitors or close analogs are docked and prioritized correctly. The docking based rank-ordering of the library requires about 5 h and is proposed as a complementary approach to structure-activity relationships by nuclear magnetic resonance. Proteins 2001;42:256-268.

An evolutionary approach for structure-based design of natural and non-natural peptidic ligands.

A new computational approach (PEP) is presented for the structure-based design of linear polymeric ligands consisting of any type of amino acid. Ligands are grown from a seed by iteratively adding amino acids to the growing construct. The search in chemical space is performed by a build-up approach which employs all of the residues of a user-defined library. At every growing step, a genetic algorithm is used for conformational optimization of the last added monomer inside the binding site of a rigid target protein. The binding energy with electrostatic solvation is evaluated to select sequences for further growing. PEP is tested on the peptide substrate binding site of the insulin receptor tyrosine kinase and farnesyltransferase. In both test cases, the peptides designed by PEP correspond to the sequence motifs of known substrates. For tyrosine kinase, tyrosine residues are suggested at position P and P+2. While the tyrosine at P is in agreement with the experimental data, the one at P+2 is a prediction which awaits experimental validation. For farnesyltransferase, it is shown that electrostatic solvation is necessary for the correct design of peptidic inhibitors.

Flexibility of the murine prion protein and its Asp178Asn mutant investigated by molecular dynamics simulations.

Inherited forms of transmissible spongiform encephalopathy, e.g. familial Creutzfeldt-Jakob disease, Gerstmann-Sträussler-Scheinker syndrome and fatal familial insomnia, segregate with specific point mutations of the prion protein. It has been proposed that the pathologically relevant Asp178Asn (D178N) mutation might destabilize the structure of the prion protein because of the loss of the Arg164-Asp178 salt bridge. Molecular dynamics simulations of the structured C-terminal domain of the murine prion protein and the D178N mutant were performed to investigate this hypothesis. The D178N mutant did not deviate from the NMR conformation more than the wild type on the nanosecond time scale of the simulations. In agreement with CD spectroscopy experiments, no major structural rearrangement could be observed for the D178N mutant, apart from the N-terminal elongation of helix 2. The region of structure around the disulfide bridge deviated the least from the NMR conformation and showed the smallest fluctuations in all simulations in agreement with hydrogen exchange data of the wild type prion protein. Large deviations and flexibility were observed in the segments which are ill-defined in the NMR conformation. Moreover, helix 1 showed an increased degree of mobility, especially at its N-terminal region. The dynamic behavior of the D178N mutant and its minor deviation from the folded conformation suggest that the salt bridge between Arg164 and Asp178 might not be crucial for the stability of the prion protein.

Forces and energetics of hapten-antibody dissociation: a biased molecular dynamics simulation study.

The unbinding of fluorescein from the single-chain Fv fragment of the 4D5Flu antibody is investigated by biased molecular dynamics with an implicit solvation model. To obtain statistically meaningful results, a large number of unbinding trajectories are calculated; they involve a total simulation time of more than 200 ns. Simulations are carried out with a time-dependent perturbation and in the presence of a constant force. The two techniques, which provide complementary information, induce unbinding by favoring an increase in the distance between the ligand and the antibody. This distance is an appropriate progress variable for the dissociation reaction and permits direct comparison of the unbinding forces in the simulations with data from atomic force microscopy (AFM). The time-dependent perturbation generates unfolding pathways that are close to equilibrium and can be used to reconstruct the mean force; i.e. the derivative of the potential of mean force, along the reaction coordinate. This is supported by an analysis of the overall unbinding profile and the magnitude of the mean force, which are similar to those of the unbinding force (i.e. the external force due to the time-dependent perturbation) averaged over several unbinding events. The multiple simulations show that unbinding proceeds along a rather well-defined pathway for a broad range of effective pulling speeds. Initially, there is a distortion of the protein localized in the C-terminal region followed by the fluorescein exit from the binding site. This occurs in steps that involve breaking of specific electrostatic and van der Waals interactions. It appears that the simulations do not explore the same barriers as those measured in the AFM experiments because of the much higher unfolding speed in the former. The dependence of the force on the logarithm of the loading rate is linear and the slope is higher than in the AFM, in agreement with experiment in other systems, where different slopes were observed for different regimes. Based on the unbinding events, mutations in the 4D5Flu antigen binding site are predicted to result in significant changes in the unbinding force.