Analysis of the code relating sequence to conformation in globular proteins. Development of a stereochemical alphabet on the basis of intra-residue information.
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ABSTRACT:
SUBMITTER: Robson B
PROVIDER: S-EPMC1168192 | biostudies-other | 1974 Sep
REPOSITORIES: biostudies-other
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Project description:1. An information theory analysis of the folding of a globular protein is proposed. 2. The folding is seen as a transfer of information between two messages, the primary sequence and the biologically active conformation. 3. It is shown how the information transferred was estimated by inspection of proteins of known primary sequence and conformation. 4. In this estimation, concerted use of subjective (Bayesian) probabilities leads to a more robust approach which can be employed whether the number of proteins of known sequence and conformation is large or small. 5. Further, it is demonstrated that the problem then becomes a very simple algebraic formulation for information estimates. 6. Finally, it is shown how this process of information theory analysis can be reversed to predict the conformation of a protein by using its primary sequence and the above information estimates obtained from other proteins. 7. The present paper provides the theoretical basis for the derivation and application of a stereochemical alphabet (Robson & Pain, 1974a,c), and for an investigation of the effects of residues on the conformations of their neighbours (Robson & Pain, 1974b).
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Project description:1. The residue pair is considered as the fundamental unit which differentiates alpha-helix, beta-pleated sheet and the various turns and kink structures of the protein backbone. 2. The HPLG alphabet (Robson & Pain, 1974) is used to group pairs of residues, giving 16 possible conformational pairs, all of which are found with differing frequencies in the nine proteins examined. 3. The frequencies of occurrence of the 16 different types of turn or kink are analysed in relation to the constituent amino acids. Those containing the L or G conformation are of low frequency and are grouped for purposes of this analysis. 4. The distribution of amino acids within all the conformational pairs is non-random, with distinct preferences shown by certain residues. 5. All pairs containing an L or G conformation require the presence of a glycine or a proton-donor side chain. 6. The results are discussed in terms of the determination of these ;random' structures by local interactions.
| S-EPMC1168194 | biostudies-other
Project description:1. The effect exerted by a residue on the conformation of neighbouring residues was analysed by using data from nine globular proteins of known sequence and conformation. 2. An information measure was used which estimated the role of a residue in influencing neighbouring conformations and also its tendency to influence the lengths of runs of residues in that conformation. This measure was estimated for each residue in all conformations defined by domains on the varphi, psi diagram. 3. Plots of the information measure yielded an intercept, which was a measure of intra-residue information for a residue. The slope was a measure of the statistical co-operativity or tendency of the residue to influence the occurrence of its neighbours in runs of a particular conformation. Both parameters are a function of the residue type. Statistical co-operativity is found in the alpha(1)-helical (H(1)) and beta-pleated-sheet (P(2)) conformations and, to a lesser extent, in their distorted variants H(2) and P(1). 4. The directional nature of these influences for H(1) and P(2) conformations is illustrated by plots of the information measure against the distance m from the residue, for m=-10 to +10. 5. The results for statistical co-operativity are discussed in relation to theories of helix-coil and pleated-sheet-coil transitions. The value of the information-theory-derived parameters in obtaining s parameters for the Zimm & Bragg (1959) equations is illustrated. 6. Directional effects are discussed with particular relation to mechanisms of the termination of helices and the involvement of the alpha(II) conformation and also to discontinuities in pleated-sheet conformations.
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Project description:Intrinsically disordered proteins (IDPs) showcase the importance of conformational plasticity and heterogeneity in protein function. We summarize recent advances that connect information encoded in IDP sequences to their conformational properties and functions. We focus on insights obtained through a combination of atomistic simulations and biophysical measurements that are synthesized into a coherent framework using polymer physics theories.
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Project description:Whether β1 integrin ectodomains visit conformational states similarly to β2 and β3 integrins has not been characterized. Furthermore, despite a wealth of activating and inhibitory antibodies to β1 integrins, the conformational states that these antibodies stabilize, and the relation of these conformations to function, remain incompletely characterized. Using negative-stain electron microscopy, we show that the integrin α5β1 ectodomain adopts extended-closed and extended-open conformations as well as a bent conformation. Antibodies SNAKA51, 8E3, N29, and 9EG7 bind to different domains in the α5 or β1 legs, activate, and stabilize extended ectodomain conformations. Antibodies 12G10 and HUTS-4 bind to the β1 βI domain and hybrid domains, respectively, activate, and stabilize the open headpiece conformation. Antibody TS2/16 binds a similar epitope as 12G10, activates, and appears to stabilize an open βI domain conformation without requiring extension or hybrid domain swing-out. mAb13 and SG/19 bind to the βI domain and βI-hybrid domain interface, respectively, inhibit, and stabilize the closed conformation of the headpiece. The effects of the antibodies on cell adhesion to fibronectin substrates suggest that the extended-open conformation of α5β1 is adhesive and that the extended-closed and bent-closed conformations are nonadhesive. The functional effects and binding sites of antibodies and fibronectin were consistent with their ability in binding to α5β1 on cell surfaces to cross-enhance or inhibit one another by competitive or noncompetitive (allosteric) mechanisms.
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Project description:BACKGROUND: Residue depth allows determining how deeply a given residue is buried, in contrast to the solvent accessibility that differentiates between buried and solvent-exposed residues. When compared with the solvent accessibility, the depth allows studying deep-level structures and functional sites, and formation of the protein folding nucleus. Accurate prediction of residue depth would provide valuable information for fold recognition, prediction of functional sites, and protein design. RESULTS: A new method, RDPred, for the real-value depth prediction from protein sequence is proposed. RDPred combines information extracted from the sequence, PSI-BLAST scoring matrices, and secondary structure predicted with PSIPRED. Three-fold/ten-fold cross validation based tests performed on three independent, low-identity datasets show that the distance based depth (computed using MSMS) predicted by RDPred is characterized by 0.67/0.67, 0.66/0.67, and 0.64/0.65 correlation with the actual depth, by the mean absolute errors equal 0.56/0.56, 0.61/0.60, and 0.58/0.57, and by the mean relative errors equal 17.0%/16.9%, 18.2%/18.1%, and 17.7%/17.6%, respectively. The mean absolute and the mean relative errors are shown to be statistically significantly better when compared with a method recently proposed by Yuan and Wang [Proteins 2008; 70:509-516]. The results show that three-fold cross validation underestimates the variability of the prediction quality when compared with the results based on the ten-fold cross validation. We also show that the hydrophilic and flexible residues are predicted more accurately than hydrophobic and rigid residues. Similarly, the charged residues that include Lys, Glu, Asp, and Arg are the most accurately predicted. Our analysis reveals that evolutionary information encoded using PSSM is characterized by stronger correlation with the depth for hydrophilic amino acids (AAs) and aliphatic AAs when compared with hydrophobic AAs and aromatic AAs. Finally, we show that the secondary structure of coils and strands is useful in depth prediction, in contrast to helices that have relatively uniform distribution over the protein depth. Application of the predicted residue depth to prediction of buried/exposed residues shows consistent improvements in detection rates of both buried and exposed residues when compared with the competing method. Finally, we contrasted the prediction performance among distance based (MSMS and DPX) and volume based (SADIC) depth definitions. We found that the distance based indices are harder to predict due to the more complex nature of the corresponding depth profiles. CONCLUSION: The proposed method, RDPred, provides statistically significantly better predictions of residue depth when compared with the competing method. The predicted depth can be used to provide improved prediction of both buried and exposed residues. The prediction of exposed residues has implications in characterization/prediction of interactions with ligands and other proteins, while the prediction of buried residues could be used in the context of folding predictions and simulations.
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Project description:Histone post-translational modifications (PTMs) play a critical role in chromatin regulation. It has been proposed that these PTMs form localized “codes” that are read by specialized domains (reader domains) in chromatin associated proteins (CAPs) to regulate downstream function. Substantial effort has been made to define [CAP - histone PTM] specificity, and in doing so to decipher the histone code. However, this has largely been done using a reductive approach of isolated reader domains and histone peptides, with the assumption that PTM readout is unaffected by any higher order considerations. Here we show that histone PTM specificity is in fact dependent on nucleosomal context, necessitating we re-define the ‘histone code’ concept and further interrogate it at the nucleosomal level.
2021-05-06 | GSE150617 | GEO
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