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PubMed1992

[Differences in mechanisms of action of beta-acetyldigoxin, strophanthin K and ouabain].

In vitro on skinned myocardial fibers (SMF) with extracted or functionally inactivated enzymes and membranes of mitochondria, longitudinal sarcoplasmic reticulum, triads and sarcolemma, new evidence of beta-acetyldigoxin and strophanthin K direct stimulating effects on contractile protein system of myocardium has been obtained. It has been revealed in energy release stimulation and force generation, in quantitative (beta-acetyldigoxin) or quantitative and qualitative (strophanthin K) stimulation of energy transduction, in the increase of contractile process cooperativity and Ca-sensitivity of SMF as well as in the SMF relaxation time extension (in the case of strophanthin K). It is suggested that different effects of beta-acetyldigoxin and strophanthin K are due to the differences in the conformations of actomyosin ensembles formed by strong bound (AMESB), which are induced by the influence of these cardiac glycosides. It has been demonstrated that ouabain (strophanthin K) has no direct effect on functioning of AMESB.

Acetyldigoxins↗
PubMed1995

Structural effects of glycosylation on the C-terminal pentapeptide of peptide T.

Structural effects of glycosylation of the C-terminal pentapeptide fragment of Peptide T (Thr-Thr-Asn-Tyr-Thr) were studied. Because of the inherent flexibility of these molecules, molecular simulations are used to interpret the circular dichroism and nuclear magnetic resonance data acquired for these molecules. N-acetyl-glucosamine attached at the Asn residue changes the ensemble average backbone conformation of the peptide and limits the conformational space available to the pentapeptide fragment. Glycosylation changes the type I and III beta-turn propensity of the pentapeptide to a type II turn. Since glycosylation also increases peptide solubility and inhibits peptide degradation in human serum, glycopeptide design may be an efficient approach to stabilize or conformationally modify peptide drug candidates and to create additional diversity in peptide libraries.

Acetylglucosamine↗
PubMed1998

Pathways for protein folding: is a new view needed?

Theoretical studies using simplified models of proteins have shed light on the general heteropolymeric aspects of the folding problem. Recent work has emphasized the statistical aspects of folding pathways. In particular, progress has been made in characterizing the ensemble of transition state conformations and elucidating the role of intermediates. These advances suggest a reconciliation between the new ensemble approaches and the classical view of a folding pathway.

Computer Simulation↗
PubMed2002

BetaCore, a designed water soluble four-stranded antiparallel beta-sheet protein.

BetaCore is a designed approximately 50-residue protein in which two BPTI-derived core modules, CM I and CM II, are connected by a 22-atom cross-link. At low temperature and pH 3, homo- and heteronuclear NMR data report a dominant folded ('f') conformation with well-dispersed chemical shifts, i, i+1 periodicity, numerous long-range NOEs, and slowed amide hydrogen isotope exchange patterns that is a four-stranded antiparallel beta-sheet with nonsymmetrical and specific association of CM I and CM II. BetaCore 'f' conformations undergo reversible, global, moderately cooperative, non-two-state thermal transitions to an equilibrium ensemble of unfolded 'u' conformations. There is a significant energy barrier between 'f' and 'u' conformations. This is the first designed four-stranded antiparallel beta-sheet that folds in water.

Amino Acid Sequence↗
PubMed1994

Predicting protein mutant energetics by self-consistent ensemble optimization.

In this paper we present a self-consistent ensemble optimization (SCEO) theory for efficient conformational search, which we have applied to predicting the effects of mutations on protein thermostability. This approach takes advantage of a statistical mechanical self-consistency condition to home in iteratively on the global minimum structure. We employ a fast potential of mean-force approximation to cut computation time to a few minutes for a typical protein mutation, with only linear time-dependence on the size of the prediction problem. Rather than seeking a single, static structure of minimum energy, the new method optimizes an ensemble of many conformations, seeking to predict the most likely ensemble for the native state at a desired temperature. Testing this approach with a simple physical model focusing entirely on steric interactions and side-chain rearrangement, we obtain robustly convergent prediction of core side-chain conformation, and of hydrophobic core mutations' effects on protein stability. Self-consistent ensemble optimization is superior to simulated annealing in its speed and convergence to the global minimum, and insensitive to starting conformation. In calculations on lambda repressor protein, structural predictions for an eight-residue molten-zone had side-chain r.m.s. error of 0.49 A for the wild-type protein. Evaluation of the method's mutant structure predictions should become possible, as structures of these mutant repressors are solved. Predicted energies for a series of nine hydrophobic core mutants correlated with measured free energies of unfolding with a coefficient of 0.82.

Amino Acid Sequence↗
PubMed2004

Conformational analysis of drug-like molecules bound to proteins: an extensive study of ligand reorganization upon binding.

This paper describes a large-scale study on the nature and the energetics of the conformational changes drug-like molecules experience upon binding. Ligand strain energies and conformational reorganization were analyzed with different computational methods on 150 crystal structures of pharmaceutically relevant protein-ligand complexes. The common knowledge that ligands rarely bind in their lowest calculated energy conformation was confirmed. Additionally, we found that over 60% of the ligands do not bind in a local minimum conformation. While approximately 60% of the ligands were calculated to bind with strain energies lower than 5 kcal/mol, strain energies over 9 kcal/mol were calculated in at least 10% of the cases regardless of the method used. A clear correlation was found between acceptable strain energy and ligand flexibility, while there was no correlation between strain energy and binding affinity, thus indicating that expensive conformational rearrangements can be tolerated in some cases without overly penalizing the tightness of binding. On the basis of the trends observed, thresholds for the acceptable strain energies of bioactive conformations were defined with consideration of the impact of ligand flexibility. An analysis of the degree of folding of the bound ligands confirmed the general tendency of small molecules to bind in an extended conformation. The results suggest that the unfolding of hydrophobic ligands during binding, which exposes hydrophobic surfaces to contact with protein residues, could be one of the factors accounting for high reorganization energies. Finally, different methods for conformational analysis were evaluated, and guidelines were defined to maximize the prevalence of bioactive conformations in computationally generated ensembles.

Drug Design↗
PubMed2006

Diffraction-based density restraints for membrane and membrane-peptide molecular dynamics simulations.

We have recently shown that current molecular dynamics (MD) atomic force fields are not yet able to produce lipid bilayer structures that agree with experimentally-determined structures within experimental errors. Because of the many advantages offered by experimentally validated simulations, we have developed a novel restraint method for membrane MD simulations that uses experimental diffraction data. The restraints, introduced into the MD force field, act upon specified groups of atoms to restrain their mean positions and widths to values determined experimentally. The method was first tested using a simple liquid argon system, and then applied to a neat dioleoylphosphatidylcholine (DOPC) bilayer at 66% relative humidity and to the same bilayer containing the peptide melittin. Application of experiment-based restraints to the transbilayer double-bond and water distributions of neat DOPC bilayers led to distributions that agreed with the experimental values. Based upon the experimental structure, the restraints improved the simulated structure in some regions while introducing larger differences in others, as might be expected from imperfect force fields. For the DOPC-melittin system, the experimental transbilayer distribution of melittin was used as a restraint. The addition of the peptide caused perturbations of the simulated bilayer structure, but which were larger than observed experimentally. The melittin distribution of the simulation could be fit accurately to a Gaussian with parameters close to the observed ones, indicating that the restraints can be used to produce an ensemble of membrane-bound peptide conformations that are consistent with experiments. Such ensembles pave the way for understanding peptide-bilayer interactions at the atomic level.

Birefringence↗
PubMed2001

PABMB Lecture. Protein dynamics, folding and misfolding: from basic physical chemistry to human conformational diseases.

Proteins exhibit a variety of motions ranging from amino acid side-chain rotations to the motions of large domains. Recognition of their conformational flexibility has led to the view that protein molecules undergo fast dynamic interconversion between different conformational substates. This proposal has received support from a wide variety of experimental techniques and from computer simulations of protein dynamics. More recently, studies of the subunit dissociation of oligomeric proteins induced by hydrostatic pressure have shown that the characteristic times for subunit exchange between oligomers and for interconversion between different conformations may be rather slow (hours or days). In such cases, proteins cannot be treated as an ensemble of rapidly interconverting conformational substates, but rather as a persistently heterogeneous population of different long-lived conformers. This is reminiscent of the deterministic behavior exhibited by macroscopic bodies, and may have important implications for our understanding of protein folding and biological functions. Here, we propose that the deterministic behavior of proteins may be closely related to the genesis of conformational diseases, a class of pathological conditions that includes transmissible spongiform encephalopathies, Alzheimer's disease and other amyloidosis.

Amyloidosis↗
PubMed2003

Computational simulation of the statistical properties of unfolded proteins.

A simple Monte Carlo method was used to generate ensembles of simulated polypeptide conformations that are restricted only by steric repulsion. The models used for these simulations were based on the sequences of four real proteins, ranging in size from 26 to 268 amino acid residues, and included all non-hydrogen atoms. Two sets of calculations were performed, one that included only intra-residue steric repulsion terms and those between adjacent residues, and one that included repulsion terms between all possible atom pairs, so as to explicitly account for the excluded volume effect. Excluded volume was found to increase the average radius of gyration of the chains by 20-40%, with the expansion factor increasing with chain length. Contrary to recent suggestions, however, the excluded volume effect did not greatly restrict the distribution of dihedral angles or favor native-like topologies. The average dimensions of the ensembles calculated with excluded volume were consistent with those measured experimentally for unfolded proteins of similar sizes under denaturing conditions, without introducing any adjustable scaling factor. The simulations also reproduced experimentally determined effective concentrations for the formation of disulfide bonds in reduced and unfolded proteins. The statistically generated ensembles included significant numbers of conformations that were nearly as compact as the corresponding native proteins, as well as many that were as accessible to solvent as a fully extended chain. On the other hand, conformations with as much buried surface area as the native proteins were very rare, as were highly extended conformations. These results suggest that the overall properties of unfolded proteins can be usefully described by a random coil model and that an unfolded polypeptide can undergo significant collapse while losing only a relatively small fraction of its conformational entropy.

Biophysical Phenomena↗
PubMed1992

Modeling the effects of mutations on the denatured states of proteins.

We develop a model for the reversible denaturation of proteins and for the effects of single-site mutations on the denatured states. The model is based on short chains of sequences of H (hydrophobic) and P (other) monomers configured as self-avoiding walks on the two-dimensional square lattice. The N (native) state is defined as the unique conformation of lowest contact energy, whereas the D (denatured) state is defined as the collection of all other conformations. With this model we are able to determine the exact partition function, and thus the exact native-denatured equilibrium for various solvent conditions, using the computer to exhaustively enumerate every possible configuration. Previous studies confirm that this model shows many aspects of protein-like behavior. The present study attempts to model how the denatured state (1) depends on the amino acid sequence, and (2) is changed by single-site mutations. The model accounts for two puzzling experimental results: (1) the replacement of a polar residue by a hydrophobic amino acid on the surface of a protein can destabilize a native protein, and (2) the "denaturant slope," m = partial delta G/partial c (where c is the concentration of denaturant--urea, guanidine hydrochloride), can sometimes change by as much as 30% due to a single mutation. The principal conclusion of the present study is that, under strong folding conditions, the denatured conformations that are in equilibrium with the native state are not open random configurations. Instead, they are an ensemble of highly compact conformations with a distribution that depends on the residue sequence and that can be substantially altered by single mutations. Most importantly, we conclude that mutations can exert their dominant effects on protein stability by changing the entropy of folding.

Amino Acid Sequence↗
PubMed2003

Selection of a high-energy bioactive conformation of a sulfonium-ion glycosidase inhibitor by the enzyme glucoamylase G2.

Transferred nuclear Overhauser effect and rotating-frame Overhauser enhancement NMR spectroscopies are used to probe the conformation of a bicyclic sulfonium ion, which is an analogue of the naturally occurring glycosidase inhibitor castanospermine, bound to the enzyme glucoamylase G2. Enzyme inhibition assays indicate that the bicyclic sulfonium ion is a slightly better inhibitor (K(i) = 1.32 mM) of glucoamylase G2 than the naturally occurring sulfonium-ion glycosidase inhibitor, salacinol, with a K(i) value of 1.7 mM. The NMR results are interpreted in terms of the selection by the enzyme of a high-energy conformation of the ligand that is already represented in the ensemble of free-ligand conformations.

Binding, Competitive↗
PubMed2005

Familial mutants of alpha-synuclein with increased neurotoxicity have a destabilized conformation.

A30P and A53T mutations of the presynaptic protein alpha-synuclein are associated with familial forms of Parkinson disease. NMR spectroscopy demonstrates that Parkinsonism-linked mutations greatly perturb specific tertiary interactions essential for the native state of alpha-synuclein. However, alpha-synuclein is not completely unfolded but exhibits structural fluctuations on the time scale of secondary structure formation and loses its native conformation gradually when protein stability decreases. The redistribution of the ensemble of alpha-synuclein conformers may underlie toxic gain-of-function by fostering self-association and altered binding affinity to ligands and receptors.

Amino Acid Sequence↗
PubMed1993

Representing an ensemble of NMR-derived protein structures by a single structure.

The usefulness of representing an ensemble of NMR-derived protein structures by a single structure has been investigated. Two stereochemical properties have been used to assess how a single structure relates to the ensemble from which it was derived, namely the distribution of phi psi torsion angles and the distribution of chi 1 torsion angles. The results show that the minimized average structure derived from the ensemble (a total of 11 ensembles from the Brookhaven Protein Data Bank were analyzed) does not always correspond well with this ensemble, particularly for those ensembles generated with a smaller number of experimentally derived restraints per residue. An alternative method that selects the member of the ensemble which is closest to the "average" of the ensemble has been investigated (a total of 23 ensembles from the Brookhaven Protein Data Bank were analyzed). Although this method selected a structure that on the whole corresponded more closely to the ensemble than did the minimized average structure, this is still not a totally reliable means of selecting a single structure to represent the ensemble. This suggests that it is advisable to study the ensemble as a whole. A study has also been made of the practice of selecting the "best" rather than the most representative member of the ensemble. This too suggests that the ensemble should be studied as a whole. A study of the conformational space occupied by the ensemble also suggests the need to consider the ensemble as a whole, particularly for those ensembles generated with a smaller number of experimentally derived restraints per residue.

Animals↗
PubMed2005

Conformational distribution of a 14-residue peptide in solution: a fluorescence resonance energy transfer study.

We demonstrate here that a nitrile-derivatized phenylalanine residue, p-cyanophenylalanine (Phe(CN)), and tryptophan (Trp) constitute a novel donor-acceptor pair for fluorescence resonance energy transfer (FRET). The Förster distance of this FRET pair was determined to be approximately 16 A and hence is well suited for determining relatively short separation distances. To validate the applicability of this FRET pair in conformational studies, we studied the conformational heterogeneity of a 14-residue amphipathic peptide, Mastoparan X (MPx peptide), in water and 7 M urea solution as well as at different temperatures. Specifically, seven nitrile-derivatized mutants of the MPx peptide, each containing a Phe(CN) residue that replaces different positions along the peptide sequence (i.e., from position 5 to 11) and serves as a resonance energy donor to the native Trp residue at position 3, were studied spectroscopically. The FRET efficiencies obtained from these peptides allowed us to gain a global picture regarding the conformational distribution of the MPx peptide in different environments. Our results suggest that the MPx molecules exist in water as an ensemble of rather compact conformations, with a radius of gyration of approximately 4.2 A, whereas in 7 M urea the radius of gyration increases to approximately 6.5 A, indicating that the peptide conformations become more extended under this condition. However, we found that temperature had only a negligible effect on the size of the MPx peptide, underlining the difference between the thermally and chemically denatured states of polypeptides. The application of the Gaussian chain or the wormlike chain model allowed us to further obtain the probability distribution function of the separation distance between any two residues along the peptide sequence. We found that the effective bond length of the MPx peptide, obtained by using the Gaussian chain model, is 2.78 A in water and 4.28 A in 7 M urea.

Algorithms↗
PubMed2005

Direct NMR observation of a substrate protein bound to the chaperonin GroEL.

The reaction cycle and the major structural states of the molecular chaperone GroEL and its cochaperone, GroES, are well characterized. In contrast, very little is known about the nonnative states of the substrate polypeptide acted on by the chaperonin machinery. In this study, we investigated the substrate protein human dihydrofolate reductase (hDHFR) while bound to GroEL or to a single-ring analog, SR1, by NMR spectroscopy in solution under conditions where hDHFR was efficiently recovered as a folded, enzymatically active protein from the stable complexes upon addition of ATP and GroES. By using the NMR techniques of transverse relaxation-optimized spectroscopy (TROSY), cross-correlated relaxation-induced polarization transfer (CRIPT), and cross-correlated relaxation-enhanced polarization transfer (CRINEPT), bound hDHFR could be observed directly. Measurements of the buildup of hDHFR NMR signals by different magnetization transfer mechanisms were used to characterize the dynamic properties of the NMR-observable parts of the bound substrate. The NMR data suggest that the bound state includes random coil conformations devoid of stable native-like tertiary contacts and that the bound hDHFR might best be described as a dynamic ensemble of randomly structured conformers.

Chaperonin 10↗
PubMed2002

Conformational transition states of a beta-hairpin peptide between the ordered and disordered conformations in explicit water.

The conformational transition states of a beta-hairpin peptide in explicit water were identified from the free energy landscapes obtained from the multicanonical ensemble, using an enhanced conformational sampling calculation. The beta-hairpin conformations were significant at 300 K in the landscape, and the typical nuclear Overhauser effect signals were reproduced, consistent with the previously reported experiment. In contrast, the disordered conformations were predominant at higher temperatures. Among the stable conformations at 300 K, there were several free energy barriers, which were not visible in the landscapes formed with the conventional parameters. We identified the transition states around the saddle points along the putative folding and unfolding paths between the beta-hairpin and the disordered conformations in the landscape. The characteristic features of these transition states are the predominant hydrophobic contacts and the several hydrogen bonds among the side-chains, as well as some of the backbone hydrogen bonds. The unfolding simulations at high temperatures, 400 K and 500 K, and their principal component analyses also provided estimates for the transition state conformations, which agreed well with those at 400 K and 500 K deduced from the current free energy landscapes at 400 K and 500 K, respectively. However, the transition states at high temperatures were much more widely distributed on the landscape than those at 300 K, and their conformations were different.

Computer Simulation↗
PubMed1999

Conformational analysis of a novel cyclic enkephalin analogue using NMR and EDMC calculations.

Conformational space of a novel cyclic enkephalin analogue, cyclo(N(epsilon),N(epsilon')-carbonyl-D-Lys2,Lys5)enkephalin amide, was exhaustively examined. A large number of conformations was selected and clustered into families on the basis of their structure and energy. For representative conformations ROESY spectra were generated and their linear combination was fitted to the spectra measured in water and Me2SO-d6. This procedure yielded an ensemble of most populated conformations of the peptide in the two solvents.

Amides↗