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J Skolnick

Publications and source records attributed to J Skolnick.

At least 19 recordsLinked to original sources

Method for predicting the state of association of discretized protein models. Application to leucine zippers.

A method that employs a transfer matrix treatment combined with Monte Carlo sampling has been used to calculate the configurational free energies of folded and unfolded states of lattice models of proteins. The method is successfully applied to study the monomer-dimer equilibria in various coiled coils. For the short coiled coils, GCN4 leucine zipper, and its fragments, Fos and Jun, very good agreement is found with experiment. Experimentally, some subdomains of the GCN4 leucine zipper form stable dimeric structures, suggesting the regions of differential stability in the parent structure. Our calculations suggest that the stabilities of the subdomains are in general different from the values expected simply from the stability of the corresponding fragment in the wild type molecule. Furthermore, parts of the fragments structurally rearrange in some regions with respect to their corresponding wild type positions. Our results suggest for an Asn in the dimerization interface at least a pair of hydrophobic interacting helical turns at each side is required to stabilize the stable coiled coil. Finally, the specificity of heterodimer formation in the Fos-Jun system comes from the relative instability of Fos homodimers, resulting from unfavorable intra- and interhelical interactions in the interfacial coiled coil region.

Amino Acid Sequence

Prediction of quaternary structure of coiled coils. Application to mutants of the GCN4 leucine zipper.

Using a simplified protein model, the equilibrium between different oligomeric species of the wild-type GCN4 leucine zipper and seven of its mutants have been predicted. Over the entire experimental concentration range, agreement with experiment is found in five cases, while in two cases agreement is found over a portion of the concentration range. These studies demonstrate a methodology for predicting coiled coil quaternary structure and allow for the dissection of the interactions responsible for the global fold. In agreement with the conclusion of Harbury et al., the results of the simulations indicate that the pattern of hydrophobic and hydrophilic residues alone is insufficient to define a protein's three-dimensional structure. In addition, these simulations indicate that the degree of chain association is determined by the balance between specific side-chain packing preferences and the entropy reduction associated with side-chain burial in higher-order multimers.

Computer Simulation

Are proteins ideal mixtures of amino acids? Analysis of energy parameter sets.

Various existing derivations of the effective potentials of mean force for the two-body interactions between amino acid side chains in proteins are reviewed and compared to each other. The differences between different parameter sets can be traced to the reference state used to define the zero of energy. Depending on the reference state, the transfer free energy or other pseudo-one-body contributions can be present to various extents in two-body parameter sets. It is, however, possible to compare various derivations directly by concentrating on the "excess" energy-a term that describes the difference between a real protein and an ideal solution of amino acids. Furthermore, the number of protein structures available for analysis allows one to check the consistency of the derivation and the errors by comparing parameters derived from various subsets of the whole database. It is shown that pair interaction preferences are very consistent throughout the database. Independently derived parameter sets have correlation coefficients on the order of 0.8, with the mean difference between equivalent entries of 0.1 kT. Also, the low-quality (low resolution, little or no refinement) structures show similar regularities. There are, however, large differences between interaction parameters derived on the basis of crystallographic structures and structures obtained by the NMR refinement. The origin of the latter difference is not yet understood.

Amino Acid Sequence

A Monte Carlo model of fd and Pf1 coat proteins in lipid membranes.

A Monte Carlo Dynamics simulation was used to investigate the behavior of filamentous bacteriophage coat proteins in a model membrane environment. Our simulation agrees with the previous experimental observations that despite the low sequence similarity between the major coat proteins of Pf1 and fd bacteriophages, their structure in the membrane environment is very similar. These results support the hypothesis that the hydrophobic effect exerts an important influence on membrane protein structure. The model may also be used for modeling the insertion and transport processes in protein-membrane systems. The example of fd protein was also used as a test of sensitivity of our model to temperature, thickness of the hydrocarbon phase, and simulation time. In all cases, the results were independent (over the tested range) of the particular values of the parameters.

Amino Acid Sequence

Neural network system for the evaluation of side-chain packing in protein structures.

An artificial neural network system is used for pattern recognition in protein side-chain-side-chain contact maps. A back-propagation network was trained on a set of patterns which are popular in side-chain contact maps of protein structures. Several neural network architectures and different training parameters were tested to decide on the best combination for the neural network. The resulting network can distinguish between original (from protein structures) and randomized patterns with an accuracy of 84.5% and a Matthews' coefficient of 0.72 for the testing set. Applications of this system for protein structure evaluation and refinement are also proposed. Examples include structures obtained after the application of molecular dynamics to crystal structures, structures obtained from X-ray crystallography at various stages of refinement, structures obtained from a de novo folding algorithm and deliberately misfolded structures.

Amino Acid Sequence

Prediction of the folding pathways and structure of the GCN4 leucine zipper.

A hierarchical approach is described for the prediction of the three-dimensional structure and folding pathway of the GCN4 leucine zipper. Dimer assembly is simulated by Monte Carlo dynamics. The resulting lowest energy structures undergo cooperative rearrangement of their hydrophobic core leading to side-chain fixation. The coarse-grained structures are further refined using a molecular dynamics annealing protocol. This produces full atom models with a backbone root-mean-square deviation from the crystal structure of 0.81 A. Thus, we demonstrate the predictive ability of our approach to yield high resolution structures of small coiled coils from their sequence.

Amino Acid Sequence

Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

A new hierarchical method for the simulation of the protein folding process and the de novo prediction of protein three-dimensional structure is proposed. The reduced representation of the protein alpha-carbon backbone employs lattice discretizations of increasing geometrical resolution and a single ball representation of side chain rotamers. In particular, coarser and finer lattice backbone descriptions are used. The coarser (finer) lattice represents C alpha traces of native proteins with an accuracy of 1.0 (0.7) A rms. Folding is simulated by means of very fast Monte Carlo lattice dynamics. The potential of mean force, predominantly of statistical origin, contains several novel terms that facilitate the cooperative assembly of secondary structure elements and the cooperative packing of the side chains. Particular contributions to the interaction scheme are discussed in detail. In the accompanying paper (Kolinski, A., Skolnick, J. Monte Carlo simulation of protein folding. II. Application to protein A, ROP, and crambin. Proteins 18:353-366, 1994), the method is applied to three small globular proteins.

Amino Acid Sequence

Monte Carlo simulations of protein folding. II. Application to protein A, ROP, and crambin.

The hierarchy of lattice Monte Carlo models described in the accompanying paper (Kolinski, A., Skolnick, J. Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme. Proteins 18:338-352, 1994) is applied to the simulation of protein folding and the prediction of 3-dimensional structure. Using sequence information alone, three proteins have been successfully folded: the B domain of staphylococcal protein A, a 120 residue, monomeric version of ROP dimer, and crambin. Starting from a random expanded conformation, the model proteins fold along relatively well-defined folding pathways. These involve a collection of early intermediates, which are followed by the final (and rate-determining) transition from compact intermediates closely resembling the molten globule state to the native-like state. The predicted structures are rather unique, with native-like packing of the side chains. The accuracy of the predicted native conformations is better than those obtained in previous folding simulations. The best (but by no means atypical) folds of protein A have a coordinate rms of 2.25 A from the native C alpha trace, and the best coordinate rms from crambin is 3.18 A. For ROP monomer, the lowest coordinate rms from equivalent C alpha s of ROP dimer is 3.65 A. Thus, for two simple helical proteins and a small alpha/beta protein, the ability to predict protein structure from sequence has been demonstrated.

Amino Acid Sequence

Prepubertal trauma and mandibular asymmetry in orthognathic surgery and orthodontic patients.

The association between radiographic evidence of mandibular asymmetry and history of prepubertal trauma was analyzed in orthognathic surgery patients and orthodontic patients. There were statistically significant associations between radiographic evidence of mandibular asymmetry and a history of prepubertal trauma in both patient groups. The results suggest that prepubertal trauma could be one etiologic factor for the development of mandibular asymmetry.

Adolescent

Flexible algorithm for direct multiple alignment of protein structures and sequences.

The recently described equivalence between the alignment of two proteins and a conformation of a lattice chain on a two-dimensional square lattice is extended to multiple alignments. The search for the optimal multiple alignment between several proteins, which is equivalent to finding the energy minimum in the conformational space of a multi-dimensional lattice chain, is studied by the Monte Carlo approach. This method, while not deterministic, and for two-dimensional problems slower than dynamic programming, can accept arbitrary scoring functions, including non-local ones, and its speed decreases slowly with increasing number of dimensions. For the local scoring functions, the MC algorithm can also reproduce known exact solutions for the direct multiple alignments. As illustrated by examples, both for structure- and sequence-based alignments, direct multi-dimensional alignments are able to capture weak similarities between divergent families much better than ones built from pairwise alignments by a hierarchical approach.

Algorithms

Insertion of peptide chains into lipid membranes: an off-lattice Monte Carlo dynamics model.

A combination of dynamic Monte Carlo simulation techniques with a hydropathy scale method for the prediction of the location of transmembrane fragments in membrane proteins is described. The new hydropathy scale proposed here is based on experimental data for the interactions of tripeptides with phospholipid membranes (Jacobs, R.E., White, S.H. Biochemistry 26:6127-6134, 1987) and the self-solvation effect in protein systems (Roseman, M.A. J. Mol. Biol. 200:513-522, 1988). The simulations give good predictions both for the state of association and the orientation of the peptide relative to the membrane surface of a number of peptides including Magain2, M2 delta, and melittin. Furthermore, for Pf1 bacteriophage coat protein, in accord with experiment, the simulations predict that the C-terminus forms a transmembrane helix and the N-terminus forms a helix which is adsorbed on the surface of the bilayer. Finally, the present series of simulations provide a number of insights into the mechanism of insertion of peptides into cell membranes.

Algorithms

Computer modeling and folding of four-helix bundles.

In the context of simplified models of globular proteins, the requirements for the unique folding to a four-helix bundle have been addressed through a new Monte Carlo procedure. In particular, the relative importance of secondary versus tertiary interactions in determining the nature of the folded structure is examined. Various cases spanning the extremes where tertiary interactions completely dominant to that where tertiary interactions are negligible have been explored. Not surprisingly, the folding to unique four-helix bundles is found to depend on an adequate balance of the secondary and tertiary interactions. Moreover, because the simplified model is composed of spheres representing alpha-carbons and side chains, the geometry of the latter being based on small real amino acids, the role played by the side chains, and the problems associated with packing and hard-core repulsions, are considered. Also, possible folding intermediates and their relationship with the experimentally observed molten globule state are explored. From these studies, a general set of rules is extracted which should aid in the further design of more detailed protein models adequate to more fully investigate the protein folding problem. Finally, the relationship between our conclusions and experimental work with specifically designed sequences is briefly discussed.

Amino Acid Sequence

De novo and inverse folding predictions of protein structure and dynamics.

In the last two years, the use of simplified models has facilitated major progress in the globular protein folding problem, viz., the prediction of the three-dimensional (3D) structure of a globular protein from its amino acid sequence. A number of groups have addressed the inverse folding problem where one examines the compatibility of a given sequence with a given (and already determined) structure. A comparison of extant inverse protein-folding algorithms is presented, and methodologies for identifying sequences likely to adopt identical folding topologies, even when they lack sequence homology, are described. Extension to produce structural templates or fingerprints from idealized structures is discussed, and for eight-membered beta-barrel proteins, it is shown that idealized fingerprints constructed from simple topology diagrams can correctly identify sequences having the appropriate topology. Furthermore, this inverse folding algorithm is generalized to predict elements of supersecondary structure including beta-hairpins, helical hairpins and alpha/beta/alpha fragments. Then, we describe a very high coordination number lattice model that can predict the 3D structure of a number of globular proteins de novo; i.e. using just the amino acid sequence. Applications to sequences designed by DeGrado and co-workers [Biophys. J., 61 (1992) A265] predict folding intermediates, native states and relative stabilities in accord with experiment. The methodology has also been applied to the four-helix bundle designed by Richardson and co-workers [Science, 249 (1990) 884] and a redesigned monomeric version of a naturally occurring four-helix dimer, rop. Based on comparison to the rop dimer, the simulations predict conformations with rms values of 3-4 A from native. Furthermore, the de novo algorithms can assess the stability of the folds predicted from the inverse algorithm, while the inverse folding algorithms can assess the quality of the de novo models. Thus, the synergism of the de novo and inverse folding algorithm approaches provides a set of complementary tools that will facilitate further progress on the protein-folding problem.

Algorithms

Regularities in interaction patterns of globular proteins.

The description of protein structure in the language of side chain contact maps is shown to offer many advantages over more traditional approaches. Because it focuses on side chain interactions, it aids in the discovery, study and classification of similarities between interactions defining particular protein folds and offers new insights into the rules of protein structure. For example, there is a small number of characteristic patterns of interactions between protein supersecondary structural fragments, which can be seen in various non-related proteins. Furthermore, the overlap of the side chain contact maps of two proteins provides a new measure of protein structure similarity. As shown in several examples, alignments based on contact map overlaps are a powerful alternative to other structure-based alignments.

Computer Simulation

Sequence-structure matching in globular proteins: application to supersecondary and tertiary structure determination.

A methodology designed to address the inverse globular protein-folding problem (the identification of which sequences are compatible with a given three-dimensional structure) is described. By using a library of protein finger-prints, defined by the side chain interaction pattern, it is possible to match each structure to its own sequence in an exhaustive data base search. It is shown that this is a permissive requirement for the validation of the methodology. To pass the more rigorous test of identifying proteins that are not close sequence homologs, but that have similar structure, the method has been extended to include insertions and deletions in the sequence, which is compared to the fingerprint. This allows for the identification of sequences having little or no sequence homology to the fingerprint. Examples include plastocyanin/azurin/pseudoazurin, the globin family, different families of proteases and cytochromes, including cytochromes c' and b-562, actinidin/papain, and lysozyme/alpha-lactalbumin. Turning to supersecondary structure prediction, we find that alpha/beta/alpha fragments possess sufficient specificity to identify their own and related sequences. By threading a beta-hairpin through a sequence, it is possible to predict the location of such hairpins and turns with remarkable fidelity. Thus, the method greatly extends existing techniques for the prediction of both global structural homology and local supersecondary structure.

Amino Acid Sequence

Spontaneous insertion of polypeptide chains into membranes: a Monte Carlo model.

The Monte Carlo dynamics method was used to examine the process of protein insertion into model cell membranes. The water and lipid environments were taken into account via an effective medium approximation based on coordinate-dependent hydrophobic and hydrogen bond potentials. The polypeptide chain was represented in a full-backbone atom representation as a chain of diamond lattice vectors. The simulations support the idea that to a good approximation insertion may be depicted as a spontaneous thermodynamic process. The mechanism of membrane insertion of a simple lattice protein chain exhibits many features of theoretical predictions and is in good accord with experimental data. In the model, insertion begins with adsorption of the chain onto the interface, followed by the formation of helical fragments. These fragments, having partially saturated internal hydrogen bonds, can be transported into the lipid phase and then form transbilayer structures.

Cell Membrane

Topology fingerprint approach to the inverse protein folding problem.

We describe the most general solution to date of the problem of matching globular protein sequences to the appropriate three-dimensional structures. The screening template, against which sequences are tested, is provided by a protein "structural fingerprint" library based on the contact map and the buried/exposed pattern of residues. Then, a lattice Monte Carlo algorithm validates or dismisses the stability of the proposed fold. Examples of known structural similarities between proteins having weakly or unrelated sequences such as the globins and phycocyanins, the eight-member alpha/beta fold of triose phosphate isomerase and even a close structural equivalence between azurin and immunoglobulins are found.

Algorithms