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Results for “Solvent accessibility”

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At least 19 recordsLinked to original sources

PubMed1991

Derivatives of CAP having no solvent-accessible cysteine residues, or having a unique solvent-accessible cysteine residue at amino acid 2 of the helix-turn-helix motif.

The Escherichia coli catabolite gene activator protein (CAP) is a helix-turn-helix motif sequence-specific DNA binding protein. CAP contains a unique solvent-accessible cysteine residue at amino acid 10 of the helix-turn-helix motif. In published work, we have constructed a prototype semi-synthetic site-specific DNA cleavage agent from CAP by use of cysteine-specific chemical modification to incorporate a nucleolytic chelator-metal complex at amino acid 10 of the helix-turn-helix motif [Ebright, R., Ebright, Y., Pendergrast, P.S. and Gunasekera, A., Proc. Natl. Acad. Sci. USA 87, 2882-2886 (1990)]. Construction of second-generation semi-synthetic site-specific DNA cleavage agents from CAP requires the construction of derivatives of CAP having unique solvent-accessible cysteine residues at sites within CAP other than amino acid 10 of the helix-turn-helix motif. In the present work, we have constructed and characterized two derivatives of CAP having no solvent-accessible cysteine residues: [Ser178]CAP and [Leu178]CAP. In addition, in the present work, we have constructed and characterized one derivative of CAP having a unique solvent-accessible cysteine residue at amino acid 2 of the helix-turn-helix motif: [Cys170;Ser178]CAP.

Base Sequence↗

PubMed2006

Dimensionality of amino acid space and solvent accessibility prediction with neural networks.

Solvent accessibility prediction from amino acid sequences has been pursued by several researchers. Such a prediction typically starts by transforming the amino acid category (or type) information into numerical representations. All twenty amino acids can be completely and uniquely represented by 20-dimensional vectors. Here, we investigate if the amino acid space defined in this way really requires twenty dimensions. We tried to develop corresponding representations in fewer dimensions. A method for searching optimal codification schema in an arbitrary space using neural networks was developed. The method is used to obtain optimal encoding of amino acids at various levels of dimensionality, and applied to optimize the amino acid codifications for the prediction of the solvent accessibility values of the proteins using feed-forward neural networks. The traditional 20-dimensional codification seems to be redundant in solving the solvent accessibility prediction problem, since a 1-dimensional codification is able to achieve almost the same degree of accuracy as the 20-dimensional codification. Optimal coding in much fewer dimensions could be used to make the predictions of accessible surface area with almost the same degree of accuracy as that obtained by a fully unique 20-dimensional coding. The 1-dimensional amino acid codification for solvent accessibility prediction obtained by a purely mathematical way based on neural networks is highly correlated with a physical property of the amino acids, namely their average solvent accessibility. The method developed to find the optimal codification is general, although the codification thus produced is dependent on the type of estimated property.

Amino Acid Sequence↗

PubMed2006

QBES: predicting real values of solvent accessibility from sequences by efficient, constrained energy optimization.

Solvent accessibility, one of the key properties of amino acid residues in proteins, can be used to assist protein structure prediction. Various approaches such as neural network, support vector machines, probability profiles, information theory, Bayesian theory, logistic function, and multiple linear regression have been developed for solvent accessibility prediction. In this article, a much simpler quadratic programming method based on the buriability parameter set of amino acid residues is developed. The new method, called QBES (Quadratic programming and Buriability Energy function for Solvent accessibility prediction), is reasonably accurate for predicting the real value of solvent accessibility. By using a dataset of 30 proteins to optimize three parameters, the average correlation coefficients between the predicted and actual solvent accessibility are about 0.5 for all four independent test sets ranging from 126 to 513 proteins. The method is efficient. It takes only 20 min for a regular PC to obtain results of 30 proteins with an average length of 263 amino acids. Although the proposed method is less accurate than a few more sophisticated methods based on neural network or support vector machines, this is the first attempt to predict solvent accessibility by energy optimization with constraints. Possible improvements and other applications of the method are discussed.

Protein Conformation↗

PubMed2004

ASAView: database and tool for solvent accessibility representation in proteins.

BACKGROUND: Accessible surface area (ASA) or solvent accessibility of amino acids in a protein has important implications. Knowledge of surface residues helps in locating potential candidates of active sites. Therefore, a method to quickly see the surface residues in a two dimensional model would help to immediately understand the population of amino acid residues on the surface and in the inner core of the proteins. RESULTS: ASAView is an algorithm, an application and a database of schematic representations of solvent accessibility of amino acid residues within proteins. A characteristic two-dimensional spiral plot of solvent accessibility provides a convenient graphical view of residues in terms of their exposed surface areas. In addition, sequential plots in the form of bar charts are also provided. Online plots of the proteins included in the entire Protein Data Bank (PDB), are provided for the entire protein as well as their chains separately. CONCLUSIONS: These graphical plots of solvent accessibility are likely to provide a quick view of the overall topological distribution of residues in proteins. Chain-wise computation of solvent accessibility is also provided.

Computer Graphics↗

PubMed1975

Hydrogen-tritium exchange kinetics of soybean trypsin inhibitor (Kunitz). Solvent accessibility in the folded conformation.

The hydrogen exchange kinetics of Kunitz soybean trypsin inhibitor (STI) has been studied at pH 2, 3, and 6.5. From the temperature dependence of proton exchange at low pH, THE CONTRIBUTION OF MAJOR, REVERSIBLE PROTEIN UNFOLDING To the hydrogen exchange kinetics has been determined. Exchange directly from the folded conformation is characterized by an apparent activation energy (E*app) of approximately 25 kcal/mol, close to that of the chemical exchange step. At pH 6.5 the protein is more temperature stable than at low pH, and exchange of all but congruent to 8 protons can be observed to exchange with E*app congruent to 27 kcal/mol. This implies that all but congruent to 8 protons are accessible to exchange with solvent in the solution structure of folded STI. Estimates can be made of the average number of water molecules per molecule of STI consistent with a solvent accessibility model of hydrogen exchange kinetics. These estimates indicate that very few water molecules within the protein matrix are necessary to explain the exchange data. Calculations are done for the STI hydrogen exchange kinetics at pH 3, 30 degrees, approximating STI structure by a sphere of radius = 18 A. These calculations indicate an average of congruent to 4 water molecules in the shell from 13 to 16 A. from the center of the molecule, while less than 1 water molecule is indicated in the innermost 13 A. These calculations also suggest that there are congruent to 190 water molecules associated with the outermost 1.5-2 A of the sphere. While these values are consistent with a hydrophobic region in the central protein matrix, they indicate more solvent accessibility in the outer 1/3 of the molecule than the static accessibility estimates made from X-ray coordinates. Our results suggest that any protein movements or fluctuations responsible for solvent accessibility in proton exchange processes are localized in the outer regions of the globular structure.

Binding Sites↗

PubMed2001

Solvent accessibility studies on polysaccharides.

The solvent accessible surface area (ASA) of the polysaccharides, namely (i) carrageenan (1CAR); (ii) agarose (1AGA); (iii) guaran (GUR); (iv) capsular polysaccharide (1CAP); and (v) hyaluronan (1HUA), have been computed using the solvent accessibility technique of Lee and Richards. The results show that the average variation of ASA for the various atoms in the molecules lie in the range 1-30 A(2). Irrespective of position of sulfation, either at two or four in the sugar residues in 1CAR, the charged groups interact almost equally with the solvent. The ASA values for the chains A and B in 1AGA and 1CAR indicate that there are not much interchain interactions and the chains in both the molecules interact equally with the solvent. Residue-wise analysis indicates that the ASAs of residues vary alternately, high-low-high value pattern that is similar to that of the hydrophobic behaviour of beta-strands in proteins. The results also suggest that in these polysaccharides D-configuration residues have higher ASA than L-configuration residues.

Carbohydrate Sequence↗

PubMed1998

Solvent accessibility studies on glycosaminoglycans.

Theoretical calculations on the solvent accessible surface area of the commonly occurring glycosaminoglycans (GAGs) have been carried out by employing the solvent accessibility technique of Lee and Richards. The results indicate that the average variation of solvent accessible surface area (ASA) for the different atoms is in the range of 2-28 A2. The average ASA for carbon (9.02 A2) and oxygen (19.3 A2) are relatively very high compared to that for nitrogen and sulfur. The total contribution of ASA by the buried atoms in all the molecules has been found to be small. Heparin complexed with the protein is less accessible to the solvent than the uncomplexed. The iduronic acid is also found to have a varied ASA due to its conformational flexibility. The sulfate groups in heparin have 50% of the total ASA of the molecule. Residue analysis indicates that in general D-configuration residues have higher ASA than L-configuration residues.

Carbohydrate Sequence↗

PubMed2005

Prediction of protein solvent accessibility using fuzzy k-nearest neighbor method.

MOTIVATION: The solvent accessibility of amino acid residues plays an important role in tertiary structure prediction, especially in the absence of significant sequence similarity of a query protein to those with known structures. The prediction of solvent accessibility is less accurate than secondary structure prediction in spite of improvements in recent researches. The k-nearest neighbor method, a simple but powerful classification algorithm, has never been applied to the prediction of solvent accessibility, although it has been used frequently for the classification of biological and medical data. RESULTS: We applied the fuzzy k-nearest neighbor method to the solvent accessibility prediction, using PSI-BLAST profiles as feature vectors, and achieved high prediction accuracies. With leave-one-out cross-validation on the ASTRAL SCOP reference dataset constructed by sequence clustering, our method achieved 64.1% accuracy for a 3-state (buried/intermediate/exposed) prediction (thresholds of 9% for buried/intermediate and 36% for intermediate/exposed) and 86.7, 82.0, 79.0 and 78.5% accuracies for 2-state (buried/exposed) predictions (thresholds of each 0, 5, 16 and 25% for buried/exposed), respectively. Our method also showed slightly better accuracies than other methods by about 2-5% on the RS126 dataset and a benchmarking dataset with 229 proteins. AVAILABILITY: Program and datasets are available at http://biocom1.ssu.ac.kr/FKNNacc/ CONTACT: jul@ssu.ac.kr.

Algorithms↗

PubMed1985

Myoglobin structure and regulation of solvent accessibility of heme pocket.

The effects of heme removal on the molecular structure of tuna and sperm whale myoglobin have been investigated by comparing the solvent accessibility to the heme pocket of the two proteins with that of the corresponding apoproteins. Although the heme microenvironment of tuna myoglobin is more polar than that of sperm whale myoglobin, the accessibility of solvent to heme is identical in the two proteins as revealed by thermal perturbation of Soret absorption. The removal of heme produces loss of helical folding and increase of solvent accessibility but the effects are rather different for the two proteins. More precisely, the loss of helical structure upon heme removal is 50% for tuna myoglobin and 15% for sperm whale myoglobin; moreover, the solvent accessibility of the heme pocket of tuna apomyoglobin is 2-3-fold greater than that of sperm whale apomyoglobin. These results have been explained in terms of the lack of helical folding in segment D, the structural organization of which may have a relevant effect in regulating the accessibility of ligands to the heme. The effects produced by charged quenchers reveal that the ligand path from the surface of the molecule to the ion atom of the heme involves a positively charged residue which may reasonably be identified as Arg-45 (sperm whale myoglobin) or Lys-41 (tuna myoglobin) on the basis of recent X-ray crystallographic information.

Animals↗

PubMed1996

Stability changes upon mutation of solvent-accessible residues in proteins evaluated by database-derived potentials.

The stability changes in peptides and proteins caused by the substitution of a single amino acid, which can be measured experimentally by the change in folding free energy, are evaluated here using effective potentials derived from known protein structures. The analysis is focused on mutations of residues that are accessible to the solvent. These represent in total 106 mutations, introduced at different sites in barnase, bacteriophage T4 lysozyme and chymotrypsin inhibitor 2, and in a synthetic helical peptide. Assuming that the mutations do not modify the backbone structure, the changes in folding free energies are computed using various types of database-derived potentials and are compared with the measured ones. Distance-dependent residue-residue potentials are found to be inadequate for estimating the stability changes caused by these mutations, as they are dominated by hydrophobic interactions, which do not play an essential role at the protein surface. On the contrary, the potentials based on backbone torsion angle propensities yield quite good results. Indeed, for a subset of 96 out of the 106 mutations, the computed and measured changes in folding free energy correlate with a linear correlation coefficient of 0.87. Moreover, the ten mutations that are excluded from the correlation either seem to cause modifications of the backbone structure or to involve strong hydrophobic interactions, which are atypical for solvent-accessible residues. We find furthermore that raising the ionic strength of the solvent used for measuring the changes in folding free energies improves the correlation, as it tends to mask the electrostatic interactions. When adding to these 106 mutations 44 mutations performed in staphylococcal nuclease and chemotactic protein, which were first discarded because some of them were suspected to affect the backbone conformation or the denatured state, the correlation between measured and computed folding free energy changes remains quite good: the correlation coefficient is 0.86 for 135 out of the 150 mutations. The success of the backbone torsion potentials in predicting stability changes indicates that the approximations made for deriving these potentials are adequate. It suggests moreover that the local interactions along the chain dominate at the protein surface.

Algorithms↗

PubMed2004

Look-up tables for protein solvent accessibility prediction and nearest neighbor effect analysis.

We developed dictionaries of two-, three-, and five-residue patterns in proteins and computed the average solvent accessibility of the central residues in their native proteins. These dictionaries serve as a look-up table for making subsequent predictions of solvent accessibility of amino acid residues. We find that predictions made in this way are very close to those made using more sophisticated methods of solvent accessibility prediction. We also analyzed the effect of immediate neighbors on the solvent accessibility of residues. This helps us in understanding how the same residue type may have different accessible surface areas in different proteins and in different positions of the same protein. We observe that certain residues have a tendency to increase or decrease the solvent accessibility of their neighboring residues in C- or N-terminal positions. Interestingly, the C-terminal and N-terminal neighbor residues are found to have asymmetric roles in modifying solvent accessibility of residues. As expected, similar neighbors enhance the hydrophobic or hydrophilic character of residues. Detailed look-up tables are provided on the web at www.netasa.org/look-up/.

Amino Acid Sequence↗

PubMed1998

A flexible triangulation method to describe the solvent-accessible surface of biopolymers.

A relatively simple protein solvent-accessible surface triangulation method for continuum electrostatics applications employing the boundary element method is presented. First, the protein is placed onto a three-dimensional lattice with a specified lattice spacing. To each lattice point, a box is assigned. Boxes located in the solvent region and in the interior of the protein are removed from the set. Improper connections between boxes and the possible existence of cavities in the interior of the protein which would destroy the proper connectivity of the triangulated surface are taken care of. The remaining set of boxes define the outer contour of the protein. Each free face exposed to the solvent of the remaining set of boxes is triangulated after the surface defined by the free faces has been smoothed to follow the shape of the macromolecule more accurately. The final step consists of a mapping of triangle vertices onto a set of surface points which define the solvent-accessible surface. Normal vectors at triangle vertices are obtained also from the free faces which define the orientation of the surface. The algorithm was tested for six molecules including four proteins; a dipeptide, a helical peptide consisting of 25 residues, calbindin, lysozyme, calmodulin and cutinase. For each molecule, total areas have been calculated and compared with the result computed from a dotted solvent-accessible surface. Since the boundary element method requires a low number of vertices and triangles to reduce the number of unknowns for reasons of efficiency, the number of triangles should not be too high. Nevertheless, credible results are obtained for the total area with relative errors not exceeding 12% for a large lattice spacing (0.30 nm) while close to zero for a smaller lattice spacing (down to 0.16 nm). The output of the triangulation computer program (written in C++) is rather simple so that it can be easily converted to any format acceptable for any molecular graphics programs.

Biopolymers↗

PubMed2005

Measurement of solvent accessibility at protein-protein interfaces.

Methods are presented for monitoring solvent accessibility of protein-ligand and protein-protein interfaces. The kinetics of solvent accessibility at the protein-protein interface is monitored by amide hydrogen/deuterium (H/2H) exchange detected by matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). A straightforward theoretical analysis is presented for determining the concentration of a weakly binding ligand that is required for achieving a situation in which the receptor is essentially 100% bound, and this is verified by control experiments. We show that when the receptor is essentially 100% bound it is possible to distinguish amide exchange as a result of solvent accessibility at the interface from amide exchange caused by complex dissociation. Methods are also presented for the measurement of tightly bound complexes of large interactions such as antibody-antigen complexes. Quantitation of the number of amides sequestered at the interface can be related to the number of H2O molecules excluded from the interface.

Amides↗

PubMed2005

Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression.

A multiple linear regression method was applied to predict real values of solvent accessibility from the sequence and evolutionary information. This method allowed us to obtain coefficients of regression and correlation between the occurrence of an amino-acid residue at a specific target and its sequence neighbor positions on the one hand, and the solvent accessibility of that residue on the other. Our linear regression model based on sequence information and evolutionary models was found to predict residue accessibility with 18.9% and 16.2% mean absolute error respectively, which is better than or comparable to the best available methods. A correlation matrix for several neighbor positions to examine the role of evolutionary information at these positions has been developed and analyzed. As expected, the effective frequency of hydrophobic residues at target positions shows a strong negative correlation with solvent accessibility, whereas the reverse is true for charged and polar residues. The correlation of solvent accessibility with effective frequencies at neighboring positions falls abruptly with distance from target residues. Longer protein chains have been found to be more accurately predicted than their smaller counterparts.

Amino Acids↗

PubMed2001

New method for accurate prediction of solvent accessibility from protein sequence.

A novel method was developed for predicting the solvent accessibility. Based on single sequence data, this method achieved 71.5% accuracy with a correlation coefficient of 0.42 in a database of 704 proteins with threshold of 20% for a two-state-defining solvent accessibility. Prediction in a data subset of 341 monomeric proteins achieved 72.7% accuracy with a correlation coefficient of 0. 43. On the average, prediction over short chains gives better results than that over long chains. With a solvent accessibility threshold of 20%, prediction over 236 monomeric proteins with chain length < 300 amino acid residues achieved 75.3% accuracy with a correlation coefficient of 0.44 by jackknife analysis, which is higher than that obtained by previous methods using multiple sequence alignments.

Algorithms↗

PubMed2004

Prediction of protein relative solvent accessibility with support vector machines and long-range interaction 3D local descriptor.

The prediction of protein relative solvent accessibility gives us helpful information for the prediction of tertiary structure of a protein. The SVMpsi method, which uses support vector machines (SVMs), and the position-specific scoring matrix (PSSM) generated from PSI-BLAST have been applied to achieve better prediction accuracy of the relative solvent accessibility. We have introduced a three-dimensional local descriptor that contains information about the expected remote contacts by both the long-range interaction matrix and neighbor sequences. Moreover, we applied feature weights to kernels in SVMs in order to consider the degree of significance that depends on the distance from the specific amino acid. Relative solvent accessibility based on a two state-model, for 25%, 16%, 5%, and 0% accessibility are predicted at 78.7%, 80.7%, 82.4%, and 87.4% accuracy, respectively. Three-state prediction results provide a 64.5% accuracy with 9%; 36% threshold. The support vector machine approach has successfully been applied for solvent accessibility prediction by considering long-range interaction and handling unbalanced data.

Computational Biology↗

PubMed2006

Clustering of protein structures using hydrophobic free energy and solvent accessibility of proteins.

The hydrophobic free energy and solvent accessibility of amino acids are used to study the relationship between the primary structure and structural classification of large proteins. A measure representation and a Z curve representation of protein sequences are proposed. Fractal analysis of the measure and Z curve representations of proteins and multifractal analysis of their hydrophobic free energy and solvent accessibility sequences indicate that the protein sequences possess correlations and multifractal scaling. The parameters from the fractal and multifractal analyses on these sequences are used to construct some parameter spaces. Each protein is represented by a point in these spaces. A method is proposed to distinguish and cluster proteins from the alpha, beta, alpha + beta, and alpha/beta structural classes in these parameter spaces. Fisher's linear discriminant algorithm is used to give a quantitative assessment of our clustering on the selected proteins. Numerical results indicate that the discriminant accuracies are satisfactory. In particular, they reach 94.12% and 88.89% in separating proteins from {alpha, alpha + beta, alpha/beta} proteins in a three-dimensional space.

Annexin A6↗

PubMed2001

Phosphorylation causes subtle changes in solvent accessibility at the interdomain interface of methylesterase CheB.

The crystal structure of the unphosphorylated state of methylesterase CheB shows that the regulatory domain blocks access of substrate to the active site of the catalytic domain. Phosphorylation of CheB at Asp56 results in a catalytically active transiently phosphorylated enzyme with a lifetime of approximately two seconds. Solvent accessibility changes in this transiently phosphorylated state were probed by MALDI-TOF-detected amide hydrogen/deuterium exchange. No changes in solvent accessibility were seen in the regulatory domain upon phosphorylation of Asp56, but two regions in the catalytic domain (199-203 and 310-317) became more solvent accessible. These two regions flank the active site and contain domain-domain contact residues. Comparison with results from the isolated catalytic domain-containing C-terminal fragment of CheB (residues 147-349) showed that the increased solvent accessibility was less than would have occurred upon detachment of the regulatory domain. Thus, phosphorylation causes subtle changes in solvent accessibility at the interdomain interface of CheB.

Amides↗