Dataset Information

Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

ABSTRACT: The conformational space annealing (CSA) method for global optimization has been applied to the 10-55 fragment of the B-domain of staphylococcal protein A (protein A) and to a 75-residue protein, apo calbindin D9K (PDB ID code), by using the UNRES off-lattice united-residue force field. Although the potential was not calibrated with these two proteins, the native-like structures were found among the low-energy conformations, without the use of threading or secondary-structure predictions. This is because the CSA method can find many distinct families of low-energy conformations. Starting from random conformations, the CSA method found that there are two families of low-energy conformations for each of the two proteins, the native-like fold and its mirror image. The CSA method converged to the same low-energy folds in all cases studied, as opposed to other optimization methods. It appears that the CSA method with the UNRES force field, which is based on the thermodynamic hypothesis, can be used in prediction of protein structures in real time.

SUBMITTER: Lee J

PROVIDER: S-EPMC26730 | biostudies-literature | 1999 Mar

REPOSITORIES: biostudies-literature

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Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

Lee J J Liwo A A Scheraga H A HA

Proceedings of the National Academy of Sciences of the United States of America 19990301 5

The conformational space annealing (CSA) method for global optimization has been applied to the 10-55 fragment of the B-domain of staphylococcal protein A (protein A) and to a 75-residue protein, apo calbindin D9K (PDB ID code), by using the UNRES off-lattice united-residue force field. Although the potential was not calibrated with these two proteins, the native-like structures were found among the low-energy conformations, without the use of threading or secondary-structure predictions. This i ...[more]

PMID: 10051588

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Project description:Folding stability and cooperativity of the three forms of 1-110 residues fragment of staphylococcal nuclease (SNase110) have been studied by various biophysical and NMR methods. Samples of G-88W- and V-66W-mutant SNase110, namely G-88W110 and V-66W110, in aqueous solution and SNase110 in 2.0 M TMAO are adopted in this study. The unfolding transitions and folded conformations of the three SNase fragments were detected by far- and near-ultraviolet circular dichroism and intrinsic tryptophan fluorescence measurements. The tertiary structures and internal motions of the fragments were determined by NMR spectroscopy. Both G-88W and V-66W single mutations as well as a small organic osmolyte (Trimethylamine N-oxide, TMAO) can fold the fragment into a native-like conformation. However, the tertiary structures of the three fragments exhibit different degrees of folding stability and compactness. G-88W110 adopts a relatively rigid structure representing a most stable native-like beta-subdomain conformation of the three fragments. V-66W110- and TMAO-stabilized SNase110 produce less compact structures having a less stable "beta-barrel" structural region. The different folding status accounts for the different backbone dynamic and urea-unfolding transition features of the three fragments. The G-20I/G-29I-mutant variants of the three fragments have provided the evidence that the folding status is correlated closely to the packing of the beta-strands in the beta-barrel of the fragments. The native-like beta-barrel structural region acts as a nonlocal nucleus for folding the fragment. The tertiary folding of the three fragments is initiated by formation of the local nucleation sites at two beta-turn regions, I-18-D-21 and Y-27-Q-30, and developed by the formation of a nonlocal nucleation site at the beta-barrel region. The formation of beta-barrel and overall structure is concerted, but the level of cooperativity is different for the three 1-110 residues SNase fragments.

Project description:The ability of many proteins to convert from their functional soluble state to amyloid fibrils can be attributed to inter-molecular beta strand formation. Such amyloid formation is associated with neurodegenerative disorders like Alzheimer's and Parkinson's. Molecular modelling can play a key role in providing insight into the factors that make proteins prone to fibril formation. However, fully atomistic models are computationally too expensive to capture the length and time scales associated with fibril formation. As the ability to form fibrils is the rule rather than the exception, much insight can be gained from the study of coarse-grained models that capture the key generic features associated with amyloid formation. Here we present a simple lattice model that can capture both protein folding and beta strand formation. Unlike standard lattice models, this model explicitly incorporates the formation of hydrogen bonds and the directionality of side chains. The simplicity of our model makes it computationally feasible to investigate the interplay between folding, amorphous aggregation and fibril formation, and maintains the capability of classic lattice models to simulate protein folding with high specificity. In our model, the folded proteins contain structures that resemble naturally occurring beta-sheets, with alternating polar and hydrophobic amino acids. Moreover, fibrils with intermolecular cross-beta strand conformations can be formed spontaneously out of multiple short hydrophobic peptide sequences. Both the formation of hydrogen bonds in folded structures and in fibrils is strongly dependent on the amino acid sequence, indicating that hydrogen-bonding interactions alone are not strong enough to initiate the formation of beta sheets. This result agrees with experimental observations that beta sheet and amyloid formation is strongly sequence dependent, with hydrophobic sequences being more prone to form such structures. Our model should open the way to a systematic study of the interplay between the factors that lead to amyloid formation.

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Dataset Information

Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

Publications

Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

Similar Datasets

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