scholarly journals Charge, hydrophobicity, and confined water: putting past simulations into a simple theoretical frameworkThis paper is one of a selection of papers published in this special issue entitled “Canadian Society of Biochemistry, Molecular & Cellular Biology 52nd Annual Meeting — Protein Folding: Principles and Diseases” and has undergone the Journal's usual peer review process.

2010 ◽  
Vol 88 (2) ◽  
pp. 359-369 ◽  
Author(s):  
Jeremy L. England ◽  
Vijay S. Pande

Water permeates all life, and mediates forces that are essential to the process of macromolecular self-assembly. Predicting these forces in a given biological context is challenging, since water organizes itself differently next to charged and hydrophobic surfaces, both of which are typically at play on the nanoscale in vivo. In this work, we present a simple statistical mechanical model for the forces water mediates between different confining surfaces, and demonstrate that the model qualitatively unifies a wide range of phenomena known in the simulation literature, including several cases of protein folding under confinement.

2010 ◽  
Vol 88 (2) ◽  
pp. 185-194 ◽  
Author(s):  
Gregory W. Clark ◽  
Elisabeth R.M. Tillier

GroEL is a chaperone thought of as essential for bacterial life. However, some species of Mollicutes are missing GroEL. We use phylogenetic analysis to show that the presence of GroEL is polyphyletic among the Mollicutes, and that there is evidence for lateral gene transfer of GroEL to Mycoplasma penetrans from the Proteobacteria. Furthermore, we propose that the presence of GroEL in Mycoplasma may be required for invasion of host tissue, suggesting that GroEL may act as an adhesin–invasin.


2010 ◽  
Vol 88 (2) ◽  
pp. 325-337 ◽  
Author(s):  
Brent Wathen ◽  
Zongchao Jia

The α-helix remains a focus of research because of its importance to protein folding and structure. Nevertheless, despite numerous empirical, computational, and theoretical studies, the fundamental structural properties governing their formation and stability are still unclear. We have examined the statistical occurrence of polar and apolar residue patterning in helical interiors in a large, non-redundant dataset, and compared these patterns with those found in other structural environments. While the familiar amphipathic distributions for both polar and apolar residues are evident, our analysis also finds significant differences between these distributions. Non-amphipathic signals can also be discerned within both distributions. Most interestingly, among various positional patterning, an analysis of immediate (i,i + 1) helical neighbours found: (i) clear neighbouring preferences, with high (low) occurrences of hydrophobics (hydrophilics) next to Gly, Pro, and short polar residues; (ii) high negative (positive) correlation between residue helical propensities and the degree of neighbouring hydrophobicity (hydrophilicity); and (iii) a preferred ordering among neighbours, implying an inherent helix directionality. Because (i,i + 1) helical pairs have limited side chain – side chain interactions, thermodynamic considerations cannot readily explain these observations, nor can evolutionary pressures that enhance tertiary interactions via amphipathicity, as this particular spacing does not segregate residues onto either the same or opposing helical faces. We suggest that the mechanism of helix formation may be partly responsible for these observations. In particular, the high negative correlation between residue helical propensities and neighbouring hydrophobicity suggests that hydrophobicity may play a more important role in helix formation than currently recognized.


2016 ◽  
Author(s):  
Masaki Sasai ◽  
George Chikenji ◽  
Tomoki P. Terada

AbstractA simple statistical mechanical model proposed by Wako and Saitô has explained the aspects of protein folding surprisingly well. This model was systematically applied to multiple proteins by Muñoz and Eaton and has since been referred to as the Wako-Saitô-Muñoz-Eaton (WSME) model. The success of the WSME model in explaining the folding of many proteins has verified the hypothesis that the folding is dominated by native interactions, which makes the energy landscape globally biased toward native conformation. Using the WSME and other related models, Saitô emphasized the importance of the hierarchical pathway in protein folding; folding starts with the creation of contiguous segments having a native-like configuration and proceeds as growth and coalescence of these segments. The ϕ-values calculated for barnase with the WSME model suggested that segments contributing to the folding nucleus are similar to the structural modules defined by the pattern of native atomic contacts. The WSME model was extended to explain folding of multi-domain proteins having a complex topology, which opened the way to comprehensively understanding the folding process of multi-domain proteins. The WSME model was also extended to describe allosteric transitions, indicating that the allosteric structural movement does not occur as a deterministic sequential change between two conformations but as a stochastic diffusive motion over the dynamically changing energy landscape. Statistical mechanical viewpoint on folding, as highlighted by the WSME model, has been renovated in the context of modern methods and ideas, and will continue to provide insights on equilibrium and dynamical features of proteins.


2010 ◽  
Vol 88 (2) ◽  
pp. 269-290 ◽  
Author(s):  
Sarah Rauscher ◽  
Régis Pomès

Protein disorder is abundant in proteomes throughout all kingdoms of life and serves many biologically important roles. Disordered states of proteins are challenging to study experimentally due to their structural heterogeneity and tendency to aggregate. Computer simulations, which are not impeded by these properties, have recently emerged as a useful tool to characterize the conformational ensembles of intrinsically disordered proteins. In this review, we provide a survey of computational studies of protein disorder with an emphasis on the interdisciplinary nature of these studies. The application of simulation techniques to the study of disordered states is described in the context of experimental and bioinformatics approaches. Experimental data can be incorporated into simulations, and simulations can provide predictions for experiment. In this way, simulations have been integrated into the existing methodologies for the study of disordered state ensembles. We provide recent examples of simulations of disordered states from the literature and our own work. Throughout the review, we emphasize important predictions and biophysical understanding made possible through the use of simulations. This review is intended as both an overview and a guide for structural biologists and theoretical biophysicists seeking accurate, atomic-level descriptions of disordered state ensembles.


1971 ◽  
Vol 8 (3) ◽  
pp. 659-672
Author(s):  
G. KLEIN ◽  
U. BREGULA ◽  
F. WIENER ◽  
H. HARRIS

A wide range of different kinds of malignant cell were fused with certain derivatives of the L cell line and the ability of the resulting hybrid cells to grow progressively in vivo was examined. In all cases the highly malignant character of the tumour cells was suppressed by fusion with the L cell derivatives, whether or not these had metabolic defects that facilitated selection of the hybrid cells. So long as the hybrid cells retained the complete chromosome complements of the two parent cells, their ability to grow progressively in vivo was very limited, for tumours composed of such unreduced hybrids were not found. However, when they lost certain specific, but as yet unidentified, chromosomes, the hybrid cells regained the ability to grow progressively in vivo and gave rise to a tumour. These findings thus indicated that the L cell derivatives contributed something to the hybrid that suppressed the malignancy of the tumour cell, and that this contribution was lost when certain specific chromosomes were eliminated.


2006 ◽  
Vol 84 (4) ◽  
pp. 411-417 ◽  
Author(s):  
Xu Lu ◽  
Joshua M. Klonoski ◽  
Michael G. Resch ◽  
Jeffrey C. Hansen

Chromatin in a eukaryotic nucleus is condensed through 3 hierarchies: primary, secondary, and tertiary chromatin structures. In vitro, when induced with cations, chromatin can self-associate and form large oligomers. This self-association process has been proposed to mimic processes involved in the assembly and maintenance of tertiary chromatin structures in vivo. In this article, we review 30 years of studies of chromatin self-association, with an emphasis on the evidence suggesting that this in vitro process is physiologically relevant.


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