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At least 19 recordsLinked to original sources
PubMed2006

ProKware: integrated software for presenting protein structural properties in protein tertiary structures.

Protein tertiary structure plays an essential role in deciphering protein functions, especially protein structural properties, including domains, active sites and post-translational modifications. These properties typically yield useful clues for understanding protein functions. This work presents an integrated software, named ProKware, that presents protein structural properties in protein tertiary structures, such as domains, functional sites, families, active sites, binding sites, post-translational modifications and domain-domain interaction. Using this web-based and Windows-based interface, users can manipulate and visualize three-dimensional protein structures, as well as the supported structural properties that are curated in the protein knowledge database. ProKware is an effective and convenient solution for investigating protein functions and structural relationships. This software can be accessed on the internet at http://ProKware.mbc.nctu.edu.tw/.

Binding Sites↗
PubMed2003

Hydrophobic moments of tertiary protein structures.

The helical hydrophobic moment is a measure of the amphiphilicity of a segment of protein secondary structure. Such measure yields information of potential relevance for issues relating to cell surface binding and secondary structure function. The present article describes a global analog of the helical hydrophobic moment. The global moment provides a concise measure of the degree and direction of the amphiphilicity or hydrophobic imbalance across the entire protein tertiary structure. Therefore, this measure is a succinct representation of the spatial organization of residue hydrophobicity for each protein. With this measure, a simple comparison of the hydrophobic imbalance or segregation of different protein structures can be made. For example, two structures having the same fold and close in root-mean-square deviation may exhibit very different overall hydrophobic organization. Such difference is classified simply by the global moment. Furthermore, the direction of the global moment may point to regions of functional interest. Certain formal issues in the development of such moment are described, and a number of applications to particular protein structures are discussed.

Algorithms↗
PubMed2005

Computational tools for the analysis of heteroatom groups and their neighbours in protein tertiary structure.

A number of Protein Data Bank (PDB) entries contain heteroatoms defined as HETATM. These include the atomic co-ordinates mainly for heteroatom groups, such as cofactors, coenzymes, prosthetic groups, metal ions, sugars, drugs, peptides, heavy-atom derivatives, non-standard amino acid residues/nucleotides, water molecules and so on. In order to evaluate the different heteroatom (Het) groups and their distribution in protein tertiary structure, we have extracted these from all proteins in the PDB and provided the data in an easily accessible format at the following website. The data can be queried on the PDB code, protein name/description, Het Group code or Het Group name. Further, we have also developed a web-based software application that reports neighbouring atoms evaluated by a "user-defined" distance cut-off value (in Angstrom units), either between a specific Het Group or all Het Groups in a given PDB with amino acid residues and water molecules in the corresponding protein, or neighbours for only all the amino acid residues in the given PDB with respect to Het Groups and water molecules. Together, the database and software applications are useful to gather information that can be further analyzed in order to obtain insights into the preferred interactions of heteroatom groups in proteins, study their binding mode, design novel molecules or to annotate protein function.

Animals↗
PubMed2002

Uncoupled analysis of secondary and tertiary protein structure by circular dichroism and electrospray ionization mass spectrometry.

Electrospray ionization mass spectrometry (ESI-MS) applied to protein conformational studies is a powerful new method that seems to provide specific information about protein tertiary structure. In this study, we analyzed the effect of trifluoroethanol (TFE) on a myoglobin peptide and cytochrome c (cyt c) at low pH by circular dichroism (CD) and ESI-MS. These experiments show that coil-to-helix transition per se does not affect ESI mass spectra, confirming that this technique is insensitive to the local conformation of the polypeptidic chain and, rather, reports on the tertiary contacts characterizing different protein conformations. This property makes ESI-MS an excellent method, complementary to CD, for the characterization of protein conformational changes. Fluorinated alcohols have been suggested to induce molten globule formation in acid-unfolded cyt c. The experiments described here show that TFE does not induce major changes in the ESI mass spectrum of cyt c at pH 2.2, indicating that no stabilization of compact, globular structures is detectable under the conditions employed. On the other hand, even low concentrations of TFE (2-5%) are shown to destabilize the folded state of the protein around the mid-point of its acid-induced unfolding transition.

Animals↗
PubMed2003

Assembly of protein tertiary structures from secondary structures using optimized potentials.

We present a simulated annealing-based method for the prediction of the tertiary structures of proteins given knowledge of the secondary structure associated with each amino acid in the sequence. The backbone is represented in a detailed fashion whereas the sidechains and pairwise interactions are modeled in a simplified way, following the LINUS model of Srinivasan and Rose. A perceptron-based technique is used to optimize the interaction potentials for a training set of three proteins. For these proteins, the procedure is able to reproduce the tertiary structures to below 3 A in root mean square deviation (rmsd) from the PDB targets. We present the results of tests on twelve other proteins. For half of these, the lowest energy decoy has a rmsd from the native state below 6 A and, in 9 out of 12 cases, we obtain decoys whose rmsd from the native states are also well below 5 A.

Amino Acids↗
PubMed2005

Underlying hydrophobic sequence periodicity of protein tertiary structure.

Hydropathy plots or window averages over local stretches of the sequence of residue hydrophobicity have revealed patterns related to various protein tertiary structural features. This has enabled identification of regions of the sequence that are at the surface or within the interior of globular soluble proteins, regions located within the lipid bilayer of transmembrane proteins, portions of the sequence that characterize repeating motifs, as well as motifs that usefully characterize different protein structural families. This, therefore, provides one example of the generally expressed maxim that "sequence determines structure". On the other hand, a number of previous investigations have shown the rapidly varying values of residue hydrophobicity along the sequence to be distributed approximately randomly. So one might question just how much of the sequence actually determines structure. It is, therefore, of interest to extract that part of this rapidly varying distribution of residue hydrophobicity that is responsible for the longer wavelength variations that correlate with protein tertiary structural features and to determine their prevalence within the entire distribution. This is accomplished by a finite Fourier analysis of the sequence of residue hydrophobicity and of a new measure of residue distance from the protein interior. Calculations are performed on a number of globins, immunoglobulins, cuprodoxins, and papain-like structures. The spectral power of the Fourier amplitudes of the frequencies extracted, whose inverse transforms underlie the windowed values of residue hydrophobicity is shown to be a small fraction of the total power of the hydrophobicity distribution and thereby consistent with a distribution that might appear to be predominantly random. The wide range of sequence identity between proteins having the same fold, all exhibiting similar small fractions of power amplitude that correlate with the longer wavelength inside-to-outside excursions of the amino acid residues, supports the general contention that close sequence identity is an expression of a close evolutionary relationship rather than an expression of structural similarity. Practical implications of the present analysis for protein structure prediction and engineering are also described.

Amino Acid Sequence↗
PubMed2000

Ab initio construction of protein tertiary structures using a hierarchical approach.

We present a hierarchical method to predict protein tertiary structure models from sequence. We start with complete enumeration of conformations using a simple tetrahedral lattice model. We then build conformations with increasing detail, and at each step select a subset of conformations using empirical energy functions with increasing complexity. After enumeration on lattice, we select a subset of low energy conformations using a statistical residue-residue contact energy function, and generate all-atom models using predicted secondary structure. A combined knowledge-based atomic level energy function is then used to select subsets of the all-atom models. The final predictions are generated using a consensus distance geometry procedure. We test the feasibility of the procedure on a set of 12 small proteins covering a wide range of protein topologies. A rigorous double-blind test of our method was made under the auspices of the CASP3 experiment, where we did ab initio structure predictions for 12 proteins using this approach. The performance of our methodology at CASP3 is reasonably good and completely consistent with our initial tests.

Algorithms↗
PubMed1993

New programs for protein tertiary structure prediction.

Prediction of protein tertiary structure remains an unsolved problem in molecular biology, but a solution to this problem is extremely important for protein engineering and rational drug design. Recent developments in motif recognition and side chain modeling present the prospect of nearly automatic model building for a large fraction of newly determined protein sequences. We review some of these new algorithms and present preliminary results of their application to the prediction of a structure for fasciclin III, a neural adhesion molecule from Drosophila.

Animals↗
PubMed2003

PROTINFO: Secondary and tertiary protein structure prediction.

Information about the secondary and tertiary structure of a protein sequence can greatly assist biologists in the generation and testing of hypotheses, as well as design of experiments. The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling, fold generation and de novo methods developed by the authors. In addition, users can submit NMR chemical shift data and request protein secondary structure assignment that is based on using neural networks to combine the chemical shifts with secondary structure predictions. The server is available at http://protinfo.compbio.washington.edu.

Internet↗
PubMed2004

Recognition of coarse-grained protein tertiary structure.

A model of the protein backbone is considered in which each residue is characterized by the location of its C(alpha) atom and one of a discrete set of conformal (phi, psi) states. We investigate the key differences between a description that offers a locally precise fit to known backbone structures and one that provides a globally accurate fit to protein structures. Using a statistical scoring scheme and threading, a protein's local best-fit conformation is highly recognizable, but its global structure cannot be directly determined from an amino acid sequence. The incorporation of information about the conformal states of neighboring residues along the chain allows one to accurately translate the local structure into a global structure. We present a two-step algorithm, which recognizes up to 95% of the tested protein native-state structures to within a 2.5 A root mean square deviation.

Algorithms↗
PubMed1993

Hamiltonians for protein tertiary structure prediction based on three-dimensional environment principles.

We describe a computational approach to protein tertiary structure prediction that combines ideas from the three-dimensional (3D) profile method of Bowie, Lüthy and Eisenberg and the associative memory Hamiltonians of Friedrichs and Wolynes. The ultimate goal of our work is to extend and generalize the capabilities of these heuristics so as to be able to predict novel structures that might be found in nature or designed proteins. In our approach we approximate the interactions between residues through a pseudo-potential function similar to an associative memory Hamiltonian. This function is constructed based on 3D environment principles. Favorable inter-residue contacts for each residue in a target protein are inferred by using 3D environment propensities of the residues and a collection of 3D environment templates derived from a dataset of protein crystal structures. A Hamiltonian encoding this information is used to guide an optimization phase via molecular dynamics with annealing, which then leads to the folded structure. With our algorithm we can recover the structure of dataset proteins and have also succeeded in constructing the fold for a protein with little sequence similarity to any dataset protein.

Aprotinin↗
PubMed1999

A combined approach for ab initio construction of low resolution protein tertiary structures from sequence.

An approach to construct low resolution models of protein structure from sequence information using a combination of different methodologies is described. All possible compact self-avoiding C alpha conformations (approximately 10 million) of a small protein chain were exhaustively enumerated on a tetrahedral lattice. The best scoring 10,000 conformations were selected using a lattice-based scoring function. All-atom structures were then generated by fitting an off-lattice four-state phi/psi model to the lattice conformations, using idealised helix and sheet values based on predicted secondary structure. The all-atom conformations were minimised using ENCAD and scored using a second hybrid scoring function. The best scoring 50, 100, and 500 conformations were input to a consensus-based distance geometry routine that used constraints from each the conformation sets and produced a single structure for each set (total of three). Secondary structures were again fitted to the three structures, and the resulting structures were minimised and scored. The lowest scoring conformation was taken to be the "correct" answer. The results of application of this method to twelve proteins are presented.

Amino Acid Sequence↗
PubMedDate not supplied

The alpha-helix as seen from the protein tertiary structure: a 3-D structural classification.

Helices are selected from globular protein structures defined at high resolution by X-ray analysis. We cluster alpha-helices in two ways: according to their position in the tertiary structure by considering patterns of solvent inaccessible residues and according to the arc of the solvent inaccessible face. For each class of helices we have defined propensities for amino acids at each position; these can be used to calculate templates for recognition of a member of that class. The analysis provides a basis for the prediction of alpha-helices and estimation of their approximate position in a protein tertiary structure. It also provides an approach to estimating the probability of finding amino acid sequences as helices in solution and in a folded protein, thus indicating those helices that might be involved in nucleation of protein folding.

Amino Acid Sequence↗
PubMed2006

Juxtaposed half-cystines as disulphide bridged partners in protein tertiary structure.

Disulphide bridges involving juxtaposed half-cystines are observed in a number of protein three-dimensional structures analyzed from the Protein Data Bank. These disulphide bridges comprise a 'ring of 8-atoms' corresponding to Calpha1-C'-N-Calpha2-Cbeta2-Sgamma2-Sgamma1-Cbeta1-Calpha1 in the two half-cystines. The presence of such disulphide bridges introduces a 'bend' or 'kink' in the protein polypeptide chain.

Cysteine↗
PubMed2005

Probing protein tertiary structure with amidination.

A chemical derivatization method, amidination, that has recently been effectively employed in peptide mass spectrometry experiments is used to covalently modify lysines in several standard proteins. Protein and peptide mass spectra identify sites at which the reaction does or does not occur. This is therefore a rapid approach to elucidate solvent-accessible regions of folded proteins.

Amination↗
PubMed1997

Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.

We explore the ability of a simple simulated annealing procedure to assemble native-like structures from fragments of unrelated protein structures with similar local sequences using Bayesian scoring functions. Environment and residue pair specific contributions to the scoring functions appear as the first two terms in a series expansion for the residue probability distributions in the protein database; the decoupling of the distance and environment dependencies of the distributions resolves the major problems with current database-derived scoring functions noted by Thomas and Dill. The simulated annealing procedure rapidly and frequently generates native-like structures for small helical proteins and better than random structures for small beta sheet containing proteins. Most of the simulated structures have native-like solvent accessibility and secondary structure patterns, and thus ensembles of these structures provide a particularly challenging set of decoys for evaluating scoring functions. We investigate the effects of multiple sequence information and different types of conformational constraints on the overall performance of the method, and the ability of a variety of recently developed scoring functions to recognize the native-like conformations in the ensembles of simulated structures.

Bayes Theorem↗