scholarly journals Unraveling the Thermodynamics of Ultra-tight Binding of Intrinsically Disordered Proteins

2021 ◽  
Vol 8 ◽  
Author(s):  
Uroš Zavrtanik ◽  
San Hadži ◽  
Jurij Lah
Keyword(s):  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Tight Binding ◽  
Bound State ◽  
Globular Proteins ◽  
Disordered Proteins ◽  
Prothymosin Α ◽  
Intrinsically Disordered ◽  
High Affinity ◽  
Entropy Optimization

Protein interactions mediated by the intrinsically disordered proteins (IDPs) are generally associated with lower affinities compared to those between globular proteins. Here, we characterize the association between the intrinsically disordered HigA2 antitoxin and its globular target HigB2 toxin from Vibrio cholerae using competition ITC experiments. We demonstrate that this interaction reaches one of the highest affinities reported for IDP-target systems (KD = 3 pM) and can be entirely attributed to a short, 20-residue-long interaction motif that folds into α-helix upon binding. We perform an experimentally based decomposition of the IDP-target association parameters into folding and binding contributions, which allows a direct comparison of the binding contribution with those from globular ultra-high affinity binders. We find that the HigA2-HigB2 interface is energy optimized to a similar extent as the interfaces of globular ultra-high affinity complexes, such as barnase-barstar. Evaluation of other ultra-high affinity IDP-target systems shows that a strategy based on entropy optimization can also achieve comparably high, picomolar affinities. Taken together, these examples show how IDP-target interactions achieve picomolar affinities either through enthalpy optimization (HigA2-HigB2), resembling the ultra-high affinity binding of globular proteins, or via bound-state fuzziness and entropy optimization (CcdA-CcdB, histone H1-prothymosin α).

scholarly journals On the specificity of protein–protein interactions in the context of disorder

2021 ◽  
Vol 478 (11) ◽  
pp. 2035-2050
Author(s):  
Kaare Teilum ◽  
Johan G. Olsen ◽  
Birthe B. Kragelund
Keyword(s):  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Globular Proteins ◽  
Disordered Proteins ◽  
Protein Protein Interactions ◽  
Binding Motifs ◽  
Intrinsically Disordered ◽  
Binding Partners ◽  
Trimer Formation ◽  
Definition Of

With the increased focus on intrinsically disordered proteins (IDPs) and their large interactomes, the question about their specificity — or more so on their multispecificity — arise. Here we recapitulate how specificity and multispecificity are quantified and address through examples if IDPs in this respect differ from globular proteins. The conclusion is that quantitatively, globular proteins and IDPs are similar when it comes to specificity. However, compared with globular proteins, IDPs have larger interactome sizes, a phenomenon that is further enabled by their flexibility, repetitive binding motifs and propensity to adapt to different binding partners. For IDPs, this adaptability, interactome size and a higher degree of multivalency opens for new interaction mechanisms such as facilitated exchange through trimer formation and ultra-sensitivity via threshold effects and ensemble redistribution. IDPs and their interactions, thus, do not compromise the definition of specificity. Instead, it is the sheer size of their interactomes that complicates its calculation. More importantly, it is this size that challenges how we conceptually envision, interpret and speak about their specificity.

scholarly journals Polyelectrolyte interactions enable rapid association and dissociation in high-affinity disordered protein complexes

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrea Sottini ◽  
Alessandro Borgia ◽  
Madeleine B. Borgia ◽  
Katrine Bugge ◽  
Daniel Nettels ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Intrinsically Disordered Proteins ◽  
Protein Complexes ◽  
Disordered Proteins ◽  
Dissociation Kinetics ◽  
Polyelectrolyte Complexes ◽  
Prothymosin Α ◽  
Intrinsically Disordered ◽  
High Affinity ◽  
Fast Exchange

AbstractHighly charged intrinsically disordered proteins can form complexes with very high affinity in which both binding partners fully retain their disorder and dynamics, exemplified by the positively charged linker histone H1.0 and its chaperone, the negatively charged prothymosin α. Their interaction exhibits another surprising feature: The association/dissociation kinetics switch from slow two-state-like exchange at low protein concentrations to fast exchange at higher, physiologically relevant concentrations. Here we show that this change in mechanism can be explained by the formation of transient ternary complexes favored at high protein concentrations that accelerate the exchange between bound and unbound populations by orders of magnitude. Molecular simulations show how the extreme disorder in such polyelectrolyte complexes facilitates (i) diffusion-limited binding, (ii) transient ternary complex formation, and (iii) fast exchange of monomers by competitive substitution, which together enable rapid kinetics. Biological polyelectrolytes thus have the potential to keep regulatory networks highly responsive even for interactions with extremely high affinities.

Mathematical and Computational Techniques for Drug Discovery: Promises and Developments

2019 ◽  
Vol 18 (32) ◽  
pp. 2774-2799 ◽  
Author(s):  
Krishnan Balasubramanian
Keyword(s):  
Drug Discovery ◽  
Protein Interactions ◽  
Quantum Chemical ◽  
Intrinsically Disordered Proteins ◽  
Hepatitis Virus ◽  
Disordered Proteins ◽  
Computational Techniques ◽  
Large Set ◽  
Structural Protein ◽  
Intrinsically Disordered

We review various mathematical and computational techniques for drug discovery exemplifying some recent works pertinent to group theory of nested structures of relevance to phylogeny, topological, computational and combinatorial methods for drug discovery for multiple viral infections. We have reviewed techniques from topology, combinatorics, graph theory and knot theory that facilitate topological and mathematical characterizations of protein-protein interactions, molecular-target interactions, proteomics, genomics and statistical data reduction procedures for a large set of starting chemicals in drug discovery. We have provided an overview of group theoretical techniques pertinent to phylogeny, protein dynamics especially in intrinsically disordered proteins, DNA base permutations and related algorithms. We consider computational techniques derived from high level quantum chemical computations such as QM/MM ONIOM methods, quantum chemical optimization of geometries complexes, and molecular dynamics methods for providing insights into protein-drug interactions. We have considered complexes pertinent to Hepatitis Virus C non-structural protein 5B polymerase receptor binding of C5-Arylidebne rhodanines, complexes of synthetic potential vaccine molecules with dengue virus (DENV) and HIV-1 virus as examples of various simulation studies that exemplify the utility of computational tools. It is demonstrated that these combinatorial and computational techniques in conjunction with experiments can provide promising new insights into drug discovery. These techniques also demonstrate the need to consider a new multiple site or allosteric binding approach to drug discovery, as these studies reveal the existence of multiple binding sites.

scholarly journals Enhancing Binding Affinity of an Intrinsically Disordered Protein by α-Methylation of Key Amino Acid Residues

2019 ◽  
Author(s):  
Valentin Bauer ◽  
Boris Schmidtgall ◽  
Gergő Gógl ◽  
Jozica Dolenc ◽  
Judit Osz ◽  
...  
Keyword(s):  
Amino Acids ◽  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Intrinsically Disordered Protein ◽  
Selective Inhibition ◽  
Disordered Proteins ◽  
Creb Binding Protein ◽  
Alpha Helices ◽  
Intrinsically Disordered ◽  
Order Of Magnitude

Intrinsically disordered proteins (IDPs), which undergo folding upon binding to their targets, are critical players in protein interaction networks. Here we demonstrate that incorporation of non-canonical alpha-methylated amino acids into the unstructured activation domain of the transcriptional coactivator ACTR can stabilize helical conformations and strengthen binding interactions with the nuclear coactivator binding domain (NCBD) of CREB-binding protein (CBP). A combinatorial alpha-methylation scan of the ACTR sequence converged on two substitutions at positions 1055 and 1076 that increase affinity for both NCBD and the full length 270 kDa CBP by one order of magnitude. The first X-ray structure of the modified ACTR domain bound to NCBD revealed that the key alpha-methylated amino acids were localized within alpha-helices. Biophysical studies showed that the observed changes in binding energy are the result of long-range interactions and redistribution of enthalpy and entropy. This proof-of-concept study establishes a potential strategy for selective inhibition of protein-protein interactions involving IDPs in cells.<br>

scholarly journals Sequence Versus Composition: What Prescribes IDP Biophysical Properties?

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 654 ◽  
Author(s):  
Jiří Vymětal ◽  
Jiří Vondrášek ◽  
Klára Hlouchová
Keyword(s):  
Amino Acid ◽  
Secondary Structure ◽  
Intrinsically Disordered Proteins ◽  
Random Sequence ◽  
Bioinformatic Analysis ◽  
Globular Proteins ◽  
Disordered Proteins ◽  
Compositional Bias ◽  
Intrinsically Disordered ◽  
Sequence Versus

Intrinsically disordered proteins (IDPs) represent a distinct class of proteins and are distinguished from globular proteins by conformational plasticity, high evolvability and a broad functional repertoire. Some of their properties are reminiscent of early proteins, but their abundance in eukaryotes, functional properties and compositional bias suggest that IDPs appeared at later evolutionary stages. The spectrum of IDP properties and their determinants are still not well defined. This study compares rudimentary physicochemical properties of IDPs and globular proteins using bioinformatic analysis on the level of their native sequences and random sequence permutations, addressing the contributions of composition versus sequence as determinants of the properties. IDPs have, on average, lower predicted secondary structure contents and aggregation propensities and biased amino acid compositions. However, our study shows that IDPs exhibit a broad range of these properties. Induced fold IDPs exhibit very similar compositions and secondary structure/aggregation propensities to globular proteins, and can be distinguished from unfoldable IDPs based on analysis of these sequence properties. While amino acid composition seems to be a major determinant of aggregation and secondary structure propensities, sequence randomization does not result in dramatic changes to these properties, but for both IDPs and globular proteins seems to fine-tune the tradeoff between folding and aggregation.

scholarly journals Chasing coevolutionary signals in intrinsically disordered proteins complexes

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Javier A. Iserte ◽  
Tamas Lazar ◽  
Silvio C. E. Tosatto ◽  
Peter Tompa ◽  
Cristina Marino-Buslje
Keyword(s):  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Disordered Proteins ◽  
Protein Protein Interactions ◽  
Contact Prediction ◽  
Intrinsically Disordered ◽  
Regulatory Processes ◽  
Wide Range ◽  
Predict Protein Structure ◽  
Biological Interpretation

Abstract Intrinsically disordered proteins/regions (IDPs/IDRs) are crucial components of the cell, they are highly abundant and participate ubiquitously in a wide range of biological functions, such as regulatory processes and cell signaling. Many of their important functions rely on protein interactions, by which they trigger or modulate different pathways. Sequence covariation, a powerful tool for protein contact prediction, has been applied successfully to predict protein structure and to identify protein–protein interactions mostly of globular proteins. IDPs/IDRs also mediate a plethora of protein–protein interactions, highlighting the importance of addressing sequence covariation-based inter-protein contact prediction of this class of proteins. Despite their importance, a systematic approach to analyze the covariation phenomena of intrinsically disordered proteins and their complexes is still missing. Here we carry out a comprehensive critical assessment of coevolution-based contact prediction in IDP/IDR complexes and detail the challenges and possible limitations that emerge from their analysis. We found that the coevolutionary signal is faint in most of the complexes of disordered proteins but positively correlates with the interface size and binding affinity between partners. In addition, we discuss the state-of-art methodology by biological interpretation of the results, formulate evaluation guidelines and suggest future directions of development to the field.

scholarly journals The Disordered Cellular Multi-Tasker WIP and Its Protein–Protein Interactions: A Structural View

Biomolecules ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1084 ◽  
Author(s):  
Chana G. Sokolik ◽  
Nasrin Qassem ◽  
Jordan H. Chill
Keyword(s):  
Protein Interactions ◽  
Cell Biology ◽  
Intrinsically Disordered Proteins ◽  
Disordered Proteins ◽  
Actin Binding ◽  
Structural Description ◽  
Protein Protein Interactions ◽  
Intrinsically Disordered ◽  
Terminal Domain ◽  
Binding Partners

WASp-interacting protein (WIP), a regulator of actin cytoskeleton assembly and remodeling, is a cellular multi-tasker and a key member of a network of protein–protein interactions, with significant impact on health and disease. Here, we attempt to complement the well-established understanding of WIP function from cell biology studies, summarized in several reviews, with a structural description of WIP interactions, highlighting works that present a molecular view of WIP’s protein–protein interactions. This provides a deeper understanding of the mechanisms by which WIP mediates its biological functions. The fully disordered WIP also serves as an intriguing example of how intrinsically disordered proteins (IDPs) exert their function. WIP consists of consecutive small functional domains and motifs that interact with a host of cellular partners, with a striking preponderance of proline-rich motif capable of interactions with several well-recognized binding partners; indeed, over 30% of the WIP primary structure are proline residues. We focus on the binding motifs and binding interfaces of three important WIP segments, the actin-binding N-terminal domain, the central domain that binds SH3 domains of various interaction partners, and the WASp-binding C-terminal domain. Beyond the obvious importance of a more fundamental understanding of the biology of this central cellular player, this approach carries an immediate and highly beneficial effect on drug-design efforts targeting WIP and its binding partners. These factors make the value of such structural studies, challenging as they are, readily apparent.

scholarly journals Advanced Graph Traversal used in Protein Interactions Network and Systems Biology

2018 ◽  
Author(s):  
Rashmi Rameshwari ◽  
Shilpa S Chapadgaonkar ◽  
T. V. Prasad
Keyword(s):  
Systems Biology ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Three Dimensional ◽  
Holistic Approach ◽  
Disordered Proteins ◽  
Intrinsically Disordered ◽  
Graph Traversal ◽  
Interactions Network

AbstractA methodological framework of graph traversal in Systems Biology is presented here. At present there is need to investigate system rather individual component. The proposed analysis generalizes the various idea of network representations of protein interactions. This approach highlights various methods used in construction of protein interaction graph or network using suitable algorithm. The network nodes represent protein residues. Two nodes are connected if two residues are functionally correlated during the protein interaction event. The analysis of the resulting network enables the importance of each protein for its interactions. Furthermore, the determination of the pattern of edge between residues yields insights into the function prediction of an interaction. This is of special interest to investigate intrinsically disordered proteins, since it is difficult to determine structural (three-dimensional) architecture of each proteins in protein interactions network. In present work various approaches for protein interactions network construction, models and methods along with graph theories has been discussed which can be used to reveal hidden properties and features of a network. Further effective algorithm for visualization of protein interactions is suggested. As construction of Biological network is dependent on various properties of graph. A holistic approach such as Systems Biology approach can better solve the problem. This network profiling combined with knowledge extraction will help biologist to explore hidden information in genome as well as in proteome..

scholarly journals Cyclic Ion Mobility – Collision Activation Experiments Elucidate Protein Behaviour in the Gas-Phase

2020 ◽  
Author(s):  
Charles Eldrid ◽  
Jakub Ujma ◽  
Hannah Britt ◽  
Tristan Cragnolini ◽  
Symeon Kalfas ◽  
...  
Keyword(s):  
Gas Phase ◽  
Ion Mobility ◽  
Protein Unfolding ◽  
Intrinsically Disordered Proteins ◽  
Conformational Dynamics ◽  
Globular Proteins ◽  
Disordered Proteins ◽  
Mass Selection ◽  
Intrinsically Disordered ◽  
Partially Folded States

<i>Elucidating the properties of intrinsically disordered proteins (IDPs) and unfolded and partially folded states of globular proteins is challenging owing to their heterogeneous and dynamic nature. Protein unfolding and misfolding is a key feature of a broad range of debilitating diseases, whilst the conformational propensities of intrinsically disordered proteins can play a significant role in modulating their activity, and the properties of unfolded states of globular proteins modulates their stability and tendency to aggregate. Ion mobility-mass spectrometry (IM-MS) is a powerful method for interrogating these systems, however limits in resolution and the difficulty in probing the energetics of interconversions amongst heterogeneous ensembles are major issues. Herein, using a quadrupole/cyclic-IM/ time-of-flight MS instrument, we show how the combination of precursor mass selection, mobility selection (IM<sup>n</sup>) and collisional activation (CA) allows the elucidation of complicated gas-phase dynamic behavior. The methodology employed is general and is demonstrated using a classic model globular protein, cytochrome C, and an aggregation-prone IDP, amylin. CA allows investigations of protein conformational dynamics and unfolding in the gas-phase for heterogeneous mixtures, whilst the additional precursor mass selection capability provides high resolution and selectivity, facilitating more in-depth investigation. Understanding protein dynamics in the gas-phase will allow greater insight into protein behaviour and allow application of gas-phase techniques to clinically relevant systems. </i>

Affinity versus specificity in coupled binding and folding reactions

2019 ◽  
Author(s):  
Stefano Gianni ◽  
Per Jemth
Keyword(s):  
Protein Interactions ◽  
Intrinsically Disordered Proteins ◽  
Intrinsically Disordered Protein ◽  
High Specificity ◽  
Disordered Proteins ◽  
Protein Protein Interactions ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Interaction Interface ◽  
Disordered Regions

Abstract Intrinsically disordered protein regions may fold upon binding to an interaction partner. It is often argued that such coupled binding and folding enables the combination of high specificity with low affinity. The basic tenet is that an unfavorable folding equilibrium will make the overall binding weaker while maintaining the interaction interface. While theoretically solid, we argue that this concept may be misleading for intrinsically disordered proteins. In fact, experimental evidence suggests that interactions of disordered regions usually involve extended conformations. In such cases, the disordered region is exceptionally unlikely to fold into a bound conformation in the absence of its binding partner. Instead, these disordered regions can bind to their partners in multiple different conformations and then fold into the native bound complex, thus, if anything, increasing the affinity through folding. We concede that (de)stabilization of native structural elements such as helices will modulate affinity, but this could work both ways, decreasing or increasing the stability of the complex. Moreover, experimental data show that intrinsically disordered binding regions display a range of affinities and specificities dictated by the particular side chains and length of the disordered region and not necessarily by the fact that they are disordered. We find it more likely that intrinsically disordered regions are common in protein–protein interactions because they increase the repertoire of binding partners, providing an accessible route to evolve interactions rather than providing a stability–affinity trade-off.

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