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Exploring reaction pathways with transition path and umbrella sampling: application to methyl maltoside.

The transition path sampling (TPS) method is a powerful approach to study chemical reactions or transitional properties on complex potential energy landscapes. One of the main advantages of the method over potential of mean force methods is that reaction rates can be directly accessed without knowledge of the exact reaction coordinate. We have investigated the complementary nature of these two differing approaches, comparing transition path sampling with the weighted histogram analysis method to study a conformational change in a small model system. In this case study, the transition paths for a transition between two rotational conformers of a model disaccharide molecule, methyl beta-D-maltoside, were compared with a free energy surface constrained by the two commonly used glycosidic (phi,psi) torsional angles. The TPS method revealed a reaction channel that was not apparent from the potential of mean force method, and the suitability of phi and psi as reaction coordinates to describe the isomerization in vacuo was confirmed by examination of the transition path ensemble. Using both transition state theory and transition path sampling methods, the transition rate was estimated. We have estimated a characteristic time between transitions of approximately 160 ns for this rare isomerization event between the two conformations of the carbohydrate. We conclude that transition path sampling can extract subtle information about the dynamics not apparent from the potential of mean force method. However, in calculating the reaction rate, the transition path sampling method required 27.5 times the computational effort than was needed by the potential of mean force method.

Algorithms↗

Computing the transition state populations in simple protein models.

We describe the master equation method for computing the kinetics of protein folding. We illustrate the method using a simple Go model. Presently most models of two-state fast-folding protein folding kinetics invoke the classical idea of a transition state to explain why there is a single exponential decay in time. However, if proteins fold via funnel-shaped energy landscapes, as predicted by many theoretical studies, then it raises the question of what is the transition state. Is it a specific structure, or a small ensemble of structures, as is expected from classical transition state theory? Or is it more like the denatured states of proteins, a very broad ensemble? The answer that is usually obtained depends on the assumptions made about the transition state. The present method is a rigorous way to find transition states, without assumptions or approximations, even for very nonclassical shapes of energy landscapes. We illustrate the method here, showing how the transition states in two-state protein folding can be very broad ensembles.

Kinetics↗

In silico profiling of tyrosine kinases binding specificity and drug resistance using Monte Carlo simulations with the ensembles of protein kinase crystal structures.

The molecular basis of the tyrosine kinases binding specificity and drug resistance against cancer drugs Imatinib and Dasatinib is elucidated using Monte Carlo simulations of the inhibitor-receptor binding with the ensembles of protein kinase crystal structures. In silico proteomics analysis unravels mechanisms by which structural plasticity of the tyrosine kinases is linked with the conformational preferences of Imatinib and Dasatinib in achieving effective drug binding with a distinct spectrum of the tyrosine kinome. The differences in the inhibitor sensitivities to the ABL kinase mutants are rationalized based on variations in the binding free energy profiles with the conformational states of the ABL kinase. While Imatinib binding is highly sensitive to the activation state of the enzyme, the computed binding profile of Dasatinib is remarkably tolerant to the conformational state of ABL. A comparative analysis of the inhibitor binding profiles with the clinically important ABL kinase mutants has revealed an excellent agreement with the biochemical and proteomics data. We have found that conformational adaptability of the kinase inhibitors to structurally different conformational states of the tyrosine kinases may have pharmacological relevance in acquiring a specific array of potent activities and regulating a scope of the inhibitor resistance mutations. This study outlines a useful approach for understanding and predicting the molecular basis of the inhibitor sensitivity against potential kinase targets and drug resistance.

Computational Biology↗

Fluctuating enzymes: lessons from single-molecule studies.

Recent single-molecule enzymology measurements with improved statistics have demonstrated that a single enzyme molecule exhibits large temporal fluctuations of the turnover rate constant at a broad range of time scales (from 1 ms to 100 s). The rate constant fluctuations, termed as dynamic disorder, are associated with fluctuations of the protein conformations observed on the same time scales. We discuss the unique information extractable from these experiments and the reconciliation of these observations with ensemble-averaged Michaelis-Menten equation. A theoretical model based on the generalized Langevin equation (GLE) treatment of Kramers' barrier crossing problem for chemical reactions accounts naturally for the observation of dynamic disorder and highly dispersed kinetics.

Enzymes↗

Evidence that familial hypercholesterolemia mutations of the LDL receptor cause limited local misfolding in an LDL-A module pair.

Mutations at conserved sites within the ligand-binding LDL-A modules of the LDL receptor cause the genetic disease familial hypercholesterolemia (FH), and several of these FH mutations in modules five and six prevent the isolated single modules from folding properly to a nativelike three-dimensional structure. Because LDL-A modules occur as a series of contiguous repeats in the LDLR and related proteins, we investigated the impact of two FH mutations in LDL-A module five (D203G and D206E) and two mutations in module six (E219K and D245E) in the context of the covalently connected module five-six pair. HPLC chromatography of the products formed under conditions that efficiently refold the native module five-six pair demonstrate that, for each mutation, a folding defect persists in the module pair. NMR spectroscopy and calcium affinity measurements of the ensemble of misfolded products demonstrate that the unaltered module of each pair can fold to its native structure regardless of the range of misfolded conformations adopted by its mutated neighbor. These findings lend additional support to a model in which individual LDL-A modules of the LDL receptor act as independent structural elements.

Amino Acid Motifs↗

Allosteric communication in the tryptophan synthase bienzyme complex: roles of the beta-subunit aspartate 305-arginine 141 salt bridge.

The allosteric interactions that regulate substrate channeling and catalysis in the tryptophan synthase bienzyme complex from Salmonella typhimurium are triggered by covalent reactions at the beta-site and binding of substrate/product to the alpha-site. The transmission of these allosteric signals between the alpha- and beta-catalytic sites is modulated by an ensemble of weak bonding interactions consisting of salt bridges, hydrogen bonds, and van der Waals contacts that switch the subunits between open and closed conformations. Previous work has identified a scaffolding of salt-bridges extending between the alpha- and beta-sites consisting of alphaAsp 56, betaLys 167, and betaAsp 305. This work investigates the involvement of yet another salt bridging interaction involving the betaAsp 305-betaArg 141 pair via comparison of the spectroscopic, catalytic, and allosteric properties of the betaD305A and betaR141A mutants with the behavior of the wild-type enzyme. These mutations were found to give bienzyme complexes with impaired allosteric communication. The betaD305A mutant also exhibits altered beta-site substrate reaction specificity, while the catalytic activity of the betaR141A mutant exhibits impaired beta-site catalytic activity. The >25-fold activation of the alpha-site by alpha-aminoacrylate Schiff base formation at the beta-site found in the Na(+) form of the wild-type enzyme is abolished in the Na(+) forms of both mutants. Replacing Na(+) by NH(4)(+) or Cs(+) restores the betaD305A to a wild-type-like behavior, whereas only partial restoration is achieved with the betaR141A mutant. These studies establish that the betaD305-betaR141 salt bridge plays a crucial role both in the formation of the closed conformation of the beta-site and in the transmission of allosteric signals between the alpha- and beta-sites that switch the alpha-site on and off.

Allosteric Regulation↗

Conformations of human apolipoprotein E(263-286) and E(267-289) in aqueous solutions of sodium dodecyl sulfate by CD and 1H NMR.

Structures of apoE(263-286) and apoE(267-289) have been determined in aqueous solution containing 90-fold molar excess of perdeuterated sodium dodecyl sulfate by CD and 1H NMR. Conformations were calculated by distance geometry based on 370 and 276 NOE distance restraints, respectively. RMSD for superimposing the region 265-284 from an ensemble of 41 structures for apoE(263-286) is 0.64 +/- 0.17 A for backbone atoms (N, C alpha, C = O) and 1.51 +/- 0.13 A for all atoms. The backbone RMSD for an ensemble of 37 structures for apoE(267-289) is 0.74 +/- 0.21 A for the region 268-275 and 0.34 +/- 0.10 A for the region 276-286. A two-domain structure was found for apoE(267-289) with the C-terminal half adopting a very well defined helix and the N-terminal segment 268-275 a less well defined helix, suggesting that the N-terminus may weakly bind to SDS. For apoE(263-286), an amphipathic helix-bend-helix structural motif was found with all hydrophobic side chains on the concave face. The existence of a bend around residues Q273 to G278 is consistent with their temperature coefficients of amide protons as well as secondary shifts of alpha-protons. Comparison of the structures of the two peptides revealed that the enhanced binding of apoE(263-286) to lipid could be attributed to the formation of a hydrophobic cluster consisting of residues W264, F265, L268, and V269. Aromatic side chains are proposed to be especially important in anchoring apolipoprotein fragments to micelles.

Amino Acid Sequence↗

Stretched exponential decay and correlations in the catalytic activity of fluctuating single lipase molecules.

Single-molecule techniques offer a unique tool for studying the dynamical behavior of individual molecules and provide the possibility to construct distributions from individual events rather than from a signal stemming from an ensemble of molecules. In biological systems, known for their complexity, these techniques make it possible to gain insights into the detailed spectrum of molecular conformational changes and activities. Here, we report on the direct observation of a single lipase-catalyzed reaction for extended periods of time (hours), by using confocal fluorescence microscopy. When adding a profluorescent substrate, the monitored enzymatic activity appears as a trajectory of "on-state" and "off-state" events. The waiting time probability density function of the off state and the state-correlation function fit stretched exponentials, independent of the substrate concentration in a certain range. The data analysis unravels oscillations in the logarithmic derivative of the off-state waiting time probability density function and correlations between off-state events. These findings imply that the fluctuating enzyme model, which involves a spectrum of enzymatic conformations that interconvert on the time scale of the catalytic activity, best describes the observed enzymatic activity. Based on this model, values for the coupling and reaction rates are extracted.

Biophysical Phenomena↗

Non-native interactions in protein folding intermediates: molecular dynamics simulations of hen lysozyme.

Molecular dynamics simulations of protein denaturation can complement and extend experimental studies of protein folding by providing atomic-level structural information about conformational transitions and any conformational states along the unfolding pathway. Previous unfolding simulations of hen egg-white lysozyme have resulted in intermediate structures with an unfolded alpha-domain and a structured beta-domain, which is inconsistent with experiment. In contrast, the beta-domain unfolded first in the two simulations presented here leaving a structured alpha-domain. Following this, intermediate states were identified that differ with respect to the packing of the helices and the elements of non-native structure adopted. The non-native structure is critical for explaining many of the experimental observations. Overall, the pooled ensemble of these intermediates is in agreement with the experimental data for the major kinetic intermediate, suggesting that the kinetic intermediate may be made up of distinct, but rapidly interconverting, partially folded conformations distinguished primarily by differences in helix packing.

Amino Acid Sequence↗

Force-field dependence of Boltzmann weighting factors on predicted pi-pi* circular dichroic spectra of cyclo (Gly-Pro-Gly)2.

Semi-empirical energy calculations were performed for published conformations of cyclo (Gly-Pro-Gly)2 using different force fields (DISCOVER cvff and cff91, AMBER, and CHARMM). The resulting potential energies were then used to create Boltzmann weighting factors for an ensemble of cyclo(Gly-Pro-Gly)2 structures. The dipole interaction model was used to predict pi-pi* circular dichroic spectra (CD) for the individual structures of cyclo(Gly-Pro-Gly)2. The Boltzmann weighting factors were applied to the individual spectra so that a composite spectrum was constructed to represent a CD arising from a collection of different structures in solution. Weighting factors determined from different force fields were compared. Boltzmann-weighted spectra better resembled the experimental CD than any calculated spectrum using only a single conformation of cyclo (Gly-Pro-Gly)2. The structures most heavily weighted contained at least one type I beta-turn.

Chemical Phenomena↗

The peculiar nature of unfolding of the human prion protein.

Spontaneous conformational transition of the prion protein from an alpha-helical isoform to a beta-sheet-rich isoform underlies the pathogenesis of sporadic prion diseases. To study the rate-limiting steps of spontaneous conversion, the formation of amyloid fibrils by the recombinant human PrP C-terminal fragment spanning residues 90-231 (recPrP) was monitored in the presence of urea. The kinetics of spontaneous fibril formation displayed sigmoidal behavior involving a lag phase. The shortest lag phase was observed at partially denaturing conditions, close to the concentration of urea corresponding to the middle point of unfolding. This result indicates that unfolding intermediates may be important for the conversion. To test whether unfolding intermediates are formed, we employed size-exclusion chromatography and circular dichroism spectroscopy to monitor urea denaturation of recPrP. Both techniques showed a single sigmoidal transition with very similar thermodynamic parameters of denaturation and that the transition can be described by a simple equilibrium between folded and denatured states. Detailed analyses of data, however, revealed that the dimensions of both the native and denatured species gradually increases with urea. Expansion of the native species is also accompanied by an increase in efficiency of the energy transfer from a single Trp residue to 1-anilinonaphthalene-8-sulfonate dye as measured by fluorescence. These data illustrate that thermodynamic character of the native ensemble changes gradually with environmental conditions. Such behavior is consistent with the thermodynamically variable model, and may be linked to the ability of PrP to adopt distinct abnormal conformations under pathologic conditions.

Algorithms↗

Restrained and unrestrained molecular dynamics simulations in the NVT ensemble of alamethicin.

Molecular dynamics simulations on the transmembrane antibiotic peptide alamethicin have been performed in the NVT ensemble (i.e., the number of particles N, the volume V, and the temperature T of the system are kept constant). Results on the structure and conformational flexibility of this molecule are discussed and compared with previous experimental CD, x-ray, nmr data and theoretical computations on fragments analogues. An extensive study of structural and dynamic properties from H-bonding pattern analysis is presented. Evidences for a largely alpha-helix structure with some extent of freedom in the C-terminal region are found. Further, a partition of the molecule into three regions on the base of structural features and dynamic behavior has been proposed, and the correlation among the motions of the three regions is described.

Alamethicin↗

Effect of the vinyl-globin interactions on the temperature-dependent broadening of the Soret spectra: a study with horse myoglobin and Scapharca dimeric hemoglobin reconstituted with unnatural 2,4-heme derivatives.

The temperature dependence of the Soret absorption spectra has been measured over the range 80 to 300 K on deoxygenated and carbonmonoxy horse heart myoglobin and Scapharca inaequivalvis dimeric hemoglobin reconstituted with proto- or with meso- and deutero-heme, in which the vinyl groups have been replaced with ethyl groups or hydrogen atoms, respectively. In the meso- and deutero-derivatives of both proteins the linewidth of the absorption spectra is narrower and less sensitive to thermal broadening effects than in the proto-derivatives. Moreover, the broadening effects are larger in the deoxygenated proteins with respect to the liganded adducts. The quantitative analysis of these effects shows that the change in linewidth is due to a marked decrease in the extent of coupling between the heme vibronic transitions and the protein low-frequency motions. The relevance of the vinyl groups in the dynamics of the heme-globin interaction is highlighted by this experimental approach which shows that the protein is capable of transmitting structural information to the heme by coupling the ensemble of the low-frequency modes to the stereochemistry of the vinyl itself. This mechanism, which entails adjustment of the equilibrium between vinyl torsional conformers, represents an additional pathway for the control of the heme reactivity in addition to the iron-histidine link.

Animals↗

Probing the interaction between two single molecules: fluorescence resonance energy transfer between a single donor and a single acceptor.

We extend the sensitivity of fluorescence resonance energy transfer (FRET) to the single molecule level by measuring energy transfer between a single donor fluorophore and a single acceptor fluorophore. Near-field scanning optical microscopy (NSOM) is used to obtain simultaneous dual color images and emission spectra from donor and acceptor fluorophores linked by a short DNA molecule. Photodestruction dynamics of the donor or acceptor are used to determine the presence and efficiency of energy transfer. The classical equations used to measure energy transfer on ensembles of fluorophores are modified for single-molecule measurements. In contrast to ensemble measurements, dynamic events on a molecular scale are observable in single pair FRET measurements because they are not canceled out by random averaging. Monitoring conformational changes, such as rotations and distance changes on a nanometer scale, within single biological macromolecules, may be possible with single pair FRET.

Base Sequence↗

Hybrids of chicken cystatin with human kininogen domain 2 sequences exhibit novel inhibition of calpain, improved inhibition of actinidin and impaired inhibition of papain, cathepsin L and cathepsin B.

Chicken cystatin and human kininogen domain 2 are members of the cystatin superfamily of protein-type cysteine proteinase inhibitors. They show structural and functional similarities, but only human kininogen domain 2 inhibits calpain. Using recombinant chicken cystatin as a scaffold for hybrid cassette analysis, the known reactive-site regions (N-terminus, first hairpin loop and second hairpin loop) were substituted by the corresponding sequences of human kininogen domain 2 in a single and combined manner. Seven hybrids were expressed, purified to homogeneity, characterized protein-chemically, and their inhibition of papain, actinidin, human cathepsin B, human cathepsin L and calpain (80-kDa subunit of rabbit skeletal muscle calpain II and porcine erthrocyte calpain 1) was determined. Strong but temporary inhibition of calpain by chicken cystatin hybrids carrying the N-terminus alone (variant sc1-KD2) or the N-terminus together with the first hairpin loop (variant sc1/2-KD2) was observed; hybrids of the second hairpin loop (sc3-KD2, sc1/3-KD2, sc2/3-KD2, sc1/2/3-KD2) were less strong calpain inhibitors. These data indicate that the inhibiton of calpain by human kininogen domain 2 requires the correct conformation and combination of several contact sites, and suggest that the N-terminus and the first hairpin loop play a major role in this ensemble. Remarkably, hybrid sc2-KD2 exhibited 5 or 150 times stronger inhibition of actinidin compared to native chicken cystatin or to proteolytically isolated human kininogen domain 2, respectively. This indicates an important role of the first hairpin loop of cystatins in the interaction with actinidin. Along with the impaired inhibition of cathepsin L, papain, actinidin, cathepsin B and calpain by the hybrids sc1/3-KD2, sc2/3-KD2 and sc1/2/3-KD2, these results support our hypothesis that all three predicted contact regions of kininogen domain 2 contribute to binding in the active-site clefts of papain-like enzymes in a finely balanced manner.

Amino Acid Sequence↗

In silico prediction method for plant Nucleotide-binding leucine-rich repeat- and pathogen effector interactions.

Plant Nucleotide-binding leucine-rich repeat (NLR) proteins play a crucial role in effector recognition and activation of Effector triggered immunity following pathogen infection. Genome sequencing advancements have led to the identification of a myriad of NLRs in numerous agriculturally important plant species. However, deciphering which NLRs recognize specific pathogen effectors remains challenging. Predicting NLR-effector interactions in silico will provide a more targeted approach for experimental validation, critical for elucidating function, and advancing our understanding of NLR-triggered immunity. In this study, NLR-effector protein complex structures were predicted using AlphaFold2-Multimer for all experimentally validated NLR-effector interactions reported in literature. Binding affinities- and energies were predicted using 97 machine learning models from Area-Affinity. We show that AlphaFold2-Multimer predicted structures have acceptable accuracy and can be used to investigate NLR-effector interactions in silico. Binding affinities for 58 NLR-effector complexes ranged between -8.5 and -10.6 log(K), and binding energies between -11.8 and -14.4 kcal/mol-1, depending on the Area-Affinity model used. For 2427 "forced" NLR-effector complexes, these estimates showed larger variability, enabling identification of novel NLR-effector interactions with 99% accuracy using an Ensemble machine learning model. The narrow range of binding energies- and affinities for "true" interactions suggest a specific change in Gibbs free energy, and thus conformational change, is required for NLR activation. This is the first study to provide a method for predicting NLR-effector interactions, applicable to all pathosystems. Finally, the NLR-Effector Interaction Classification (NEIC) resource can streamline research efforts by identifying NLRs important for plant-pathogen resistance, advancing our understanding of plant immunity.

Plant Proteins↗

Conformational study of digalacturonic acid and sodium digalacturonate in solution.

The solution conformation of digalacturonic acid and its sodium salt have been analyzed using nuclear magnetic resonance data and molecular mechanics calculations. The flexibility around the glycosidic linkage was characterized by calculation of the relaxed (phi, psi) potential surfaces for the isolated molecule, and also for dimethyl sulfoxide and aqueous solutions using the CHARMM and SOLVOL programs. The one-bond and three-bond proton-carbon couplings were measured and H-1'-H-4 distances were estimated from NOESY experiments. The calculated potential surfaces were used to determine theoretical ensemble averages of NMR data. The agreement between the experimental and theoretical data is very satisfactory. The calculations show a strong effect of solvent on the solution behavior of both compounds. The vacuum lowest energy conformer of digalacturonic acid is stabilized by solvation, while for sodium digalacturonate the solvent induces a conformational change. An extrapolation of the stable conformers to polysaccharide chains implies that poly(galacturonic acid) occurs in solution as a three-fold helix and sodium poly(galacturonate) as a two-fold helix.

Carbohydrate Conformation↗