Molecular simulations of protein disorderThis 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. 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.

2021 ◽  
Vol 1 (7) ◽  
Author(s):  
Federica Quaglia ◽  
Tamas Lazar ◽  
András Hatos ◽  
Peter Tompa ◽  
Damiano Piovesan ◽  
...  

2020 ◽  
Vol 118 (3) ◽  
pp. 214a
Author(s):  
Saurabh Awasthi ◽  
Jared Houghtaling ◽  
Cuifeng Ying ◽  
Aziz Fennouri ◽  
Ivan Shorubalko ◽  
...  

2020 ◽  
Vol 21 (16) ◽  
pp. 5814 ◽  
Author(s):  
Jaime Santos ◽  
Valentín Iglesias ◽  
Carlos Pintado ◽  
Juan Santos-Suárez ◽  
Salvador Ventura

The natively unfolded nature of intrinsically disordered proteins (IDPs) relies on several physicochemical principles, of which the balance between a low sequence hydrophobicity and a high net charge appears to be critical. Under this premise, it is well-known that disordered proteins populate a defined region of the charge–hydropathy (C–H) space and that a linear boundary condition is sufficient to distinguish between folded and disordered proteins, an approach widely applied for the prediction of protein disorder. Nevertheless, it is evident that the C–H relation of a protein is not unalterable but can be modulated by factors extrinsic to its sequence. Here, we applied a C–H-based analysis to develop a computational approach that evaluates sequence disorder as a function of pH, assuming that both protein net charge and hydrophobicity are dependent on pH solution. On that basis, we developed DispHred, the first pH-dependent predictor of protein disorder. Despite its simplicity, DispHred displays very high accuracy in identifying pH-induced order/disorder protein transitions. DispHred might be useful for diverse applications, from the analysis of conditionally disordered segments to the synthetic design of disorder tags for biotechnological applications. Importantly, since many disorder predictors use hydrophobicity as an input, the here developed framework can be implemented in other state-of-the-art algorithms.


2018 ◽  
Author(s):  
Rebecca Beveridge ◽  
Lukasz Migas ◽  
Richard Kriwacki ◽  
Perdita E. Barran

Intrinsically disordered proteins have been reported to undergo ‘disorder to order’ transitions upon binding to their partners in the cell. The extent of the ordering on binding and the lack of order prior to binding is difficult to visualize with classical structure determination methods. Binding of p27 to the Cdk2/cyclin A complex is accompanied by partial folding of p27 in the KID domain, with the retention of dynamic behaviour for function, particularly in the C-terminal half of the protein, positioning it as an exemplary system to probe conformational diversity. Here we employ native ion mobility with mass spectrometry (IM-MS) to measure the intrinsic dynamic properties of p27, both in isolation and within the trimeric complex with Cdk2/cyclin A. This stepwise approach reveals the conformational distributions of the constituent proteins and how they are restructured on complex formation; the trimeric Cdk2/cyclin A/p27-KID complex possesses significant structural heterogeneity cf. Cdk2/cyclin A. These findings support the formation of a fuzzy complex in which both the N and C termini of p27 interact with Cdk2/cyclin A in multiple closely associated states.


Author(s):  
András Hatos ◽  
Borbála Hajdu-Soltész ◽  
Alexander M Monzon ◽  
Nicolas Palopoli ◽  
Lucía Álvarez ◽  
...  

Abstract The Database of Protein Disorder (DisProt, URL: https://disprot.org) provides manually curated annotations of intrinsically disordered proteins from the literature. Here we report recent developments with DisProt (version 8), including the doubling of protein entries, a new disorder ontology, improvements of the annotation format and a completely new website. The website includes a redesigned graphical interface, a better search engine, a clearer API for programmatic access and a new annotation interface that integrates text mining technologies. The new entry format provides a greater flexibility, simplifies maintenance and allows the capture of more information from the literature. The new disorder ontology has been formalized and made interoperable by adopting the OWL format, as well as its structure and term definitions have been improved. The new annotation interface has made the curation process faster and more effective. We recently showed that new DisProt annotations can be effectively used to train and validate disorder predictors. We believe the growth of DisProt will accelerate, contributing to the improvement of function and disorder predictors and therefore to illuminate the ‘dark’ proteome.


2019 ◽  
Vol 32 (4) ◽  
pp. 191-202 ◽  
Author(s):  
Megan C Cohan ◽  
Kiersten M Ruff ◽  
Rohit V Pappu

Abstract Intrinsically disordered proteins (IDPs) contribute to a multitude of functions. De novo design of IDPs should open the door to modulating functions and phenotypes controlled by these systems. Recent design efforts have focused on compositional biases and specific sequence patterns as the design features. Analysis of the impact of these designs on sequence-function relationships indicates that individual sequence/compositional parameters are insufficient for describing sequence-function relationships in IDPs. To remedy this problem, we have developed information theoretic measures for sequence–ensemble relationships (SERs) of IDPs. These measures rely on prior availability of statistically robust conformational ensembles derived from all atom simulations. We show that the measures we have developed are useful for comparing sequence-ensemble relationships even when sequence is poorly conserved. Based on our results, we propose that de novo designs of IDPs, guided by knowledge of their SERs, should provide improved insights into their sequence–ensemble–function relationships.


2020 ◽  
Vol 118 (12) ◽  
pp. 2952-2965
Author(s):  
Tamas Lazar ◽  
Mainak Guharoy ◽  
Wim Vranken ◽  
Sarah Rauscher ◽  
Shoshana J. Wodak ◽  
...  

2014 ◽  
Vol 395 (7-8) ◽  
pp. 689-698 ◽  
Author(s):  
Hagen Hofmann

Abstract In the past decade, single-molecule fluorescence techniques provided important insights into the structure and dynamics of proteins. In particular, our understanding of the heterogeneous conformational ensembles of unfolded and intrinsically disordered proteins (IDPs) improved substantially by a combination of FRET-based single-molecule techniques with concepts from polymer physics. A complete knowledge of the forces that act in unfolded polypeptide chains will not only be important to understand the initial steps of protein folding reactions, but it will also be crucial to rationalize the coupling between ligand-binding and folding of IDPs, and the interaction of denatured proteins with molecular chaperones in the crowded cellular environment. Here, I give a personalized review of some of the key findings from my own research that contributed to a more quantitative understanding of unfolded proteins and their interactions with molecular chaperones.


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