A Method for Determining Structure Ensemble of Large Disordered Protein: Application to a Mechanosensing Protein

2018 ◽  
Vol 140 (36) ◽  
pp. 11276-11285 ◽  
Author(s):  
Wei Liu ◽  
Xiao Liu ◽  
Guanhua Zhu ◽  
Lanyuan Lu ◽  
Daiwen Yang
Keyword(s):  
Disordered Protein ◽  
Structure Ensemble

Self-Assembling Micelles Based on an Intrinsically Disordered Protein Domain

2018 ◽  
Author(s):  
Sarah Klass ◽  
Matthew J. Smith ◽  
Tahoe Fiala ◽  
Jessica Lee ◽  
Anthony Omole ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Fusion Proteins ◽  
Organic Molecules ◽  
Intrinsically Disordered Protein ◽  
Protein Domain ◽  
Enzymatic Cleavage ◽  
Intrinsically Disordered ◽  
Disordered Protein ◽  
Self Assembling ◽  
Protein Tag

Herein, we describe a new series of fusion proteins that have been developed to self-assemble spontaneously into stable micelles that are 27 nm in diameter after enzymatic cleavage of a solubilizing protein tag. The sequences of the proteins are based on a human intrinsically disordered protein, which has been appended with a hydrophobic segment. The micelles were found to form across a broad range of pH, ionic strength, and temperature conditions, with critical micelle concentration (CMC) values below 1 µM being observed in some cases. The reported micelles were found to solubilize hydrophobic metal complexes and organic molecules, suggesting their potential suitability for catalysis and drug delivery applications.

scholarly journals Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies

Biomolecules ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 381
Author(s):  
Bálint Mészáros ◽  
Borbála Hajdu-Soltész ◽  
András Zeke ◽  
Zsuzsanna Dosztányi
Keyword(s):  
Gene Expression Regulation ◽  
Treatment Options ◽  
Intrinsically Disordered Protein ◽  
System Level ◽  
Alternative Mechanism ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Disordered Protein ◽  
Cancer Types ◽  
Cancer Drivers

Many proteins contain intrinsically disordered regions (IDRs) which carry out important functions without relying on a single well-defined conformation. IDRs are increasingly recognized as critical elements of regulatory networks and have been also associated with cancer. However, it is unknown whether mutations targeting IDRs represent a distinct class of driver events associated with specific molecular and system-level properties, cancer types and treatment options. Here, we used an integrative computational approach to explore the direct role of intrinsically disordered protein regions driving cancer. We showed that around 20% of cancer drivers are primarily targeted through a disordered region. These IDRs can function in multiple ways which are distinct from the functional mechanisms of ordered drivers. Disordered drivers play a central role in context-dependent interaction networks and are enriched in specific biological processes such as transcription, gene expression regulation and protein degradation. Furthermore, their modulation represents an alternative mechanism for the emergence of all known cancer hallmarks. Importantly, in certain cancer patients, mutations of disordered drivers represent key driving events. However, treatment options for such patients are currently severely limited. The presented study highlights a largely overlooked class of cancer drivers associated with specific cancer types that need novel therapeutic options.

scholarly journals A method for validating the accuracy of NMR protein structures

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicholas J. Fowler ◽  
Adnan Sljoka ◽  
Mike P. Williamson
Keyword(s):  
Secondary Structure ◽  
Crystal Structures ◽  
Protein Structures ◽  
Random Coil ◽  
Local Rigidity ◽  
Correlation Score ◽  
Nmr Structures ◽  
Explicit Solvent ◽  
Structure Ensemble ◽  
Better Than

AbstractWe present a method that measures the accuracy of NMR protein structures. It compares random coil index [RCI] against local rigidity predicted by mathematical rigidity theory, calculated from NMR structures [FIRST], using a correlation score (which assesses secondary structure), and an RMSD score (which measures overall rigidity). We test its performance using: structures refined in explicit solvent, which are much better than unrefined structures; decoy structures generated for 89 NMR structures; and conventional predictors of accuracy such as number of restraints per residue, restraint violations, energy of structure, ensemble RMSD, Ramachandran distribution, and clashscore. Restraint violations and RMSD are poor measures of accuracy. Comparisons of NMR to crystal structures show that secondary structure is equally accurate, but crystal structures are typically too rigid in loops, whereas NMR structures are typically too floppy overall. We show that the method is a useful addition to existing measures of accuracy.

scholarly journals Mediator subunit Med15 dictates the conserved “fuzzy” binding mechanism of yeast transcription activators Gal4 and Gcn4

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Lisa M. Tuttle ◽  
Derek Pacheco ◽  
Linda Warfield ◽  
Damien B. Wilburn ◽  
Steven Hahn ◽  
...  
Keyword(s):  
Intrinsically Disordered Protein ◽  
Activation Function ◽  
Binding Mechanism ◽  
Binding Partner ◽  
Protein Protein Interaction ◽  
Intrinsically Disordered ◽  
Disordered Protein ◽  
Independent Mechanism ◽  
Transcription Activators ◽  
Common Sequence

AbstractThe acidic activation domain (AD) of yeast transcription factor Gal4 plays a dual role in transcription repression and activation through binding to Gal80 repressor and Mediator subunit Med15. The activation function of Gal4 arises from two hydrophobic regions within the 40-residue AD. We show by NMR that each AD region binds the Mediator subunit Med15 using a “fuzzy” protein interface. Remarkably, comparison of chemical shift perturbations shows that Gal4 and Gcn4, two intrinsically disordered ADs of different sequence, interact nearly identically with Med15. The finding that two ADs of different sequence use an identical fuzzy binding mechanism shows a common sequence-independent mechanism for AD-Mediator binding, similar to interactions within a hydrophobic cloud. In contrast, the same region of Gal4 AD interacts strongly with Gal80 via a distinct structured complex, implying that the structured binding partner of an intrinsically disordered protein dictates the type of protein–protein interaction.

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