Classifying the Binding Modes of Disordered Proteins

Disordered proteins often act as interaction hubs in cellular pathways, via the specific recognition of a distinguished set of partners. While disordered regions can adopt a well-defined conformation upon binding, the coupled folding to binding model does not explain how interaction versatility is achieved. Here, I present a classification scheme for the binding modes of disordered protein regions, based on their conformational heterogeneity in the bound state. Binding modes are defined as (i) disorder-to-order transitions leading to a well-defined bound state, (ii) disordered binding leading to a disordered bound state and (iii) fuzzy binding when the degree of disorder in the bound state may vary with the partner or cellular conditions. Fuzzy binding includes polymorphic bound structures, conditional folding and dynamic binding. This classification scheme describes the structural continuum of complexes involving disordered regions as well as their context-dependent interaction behaviors.     

Intrinsically disordered proteins in a physics-based world

Intrinsically disordered proteins (IDPs) are a newly recognized class of functional proteins that rely on a lack of stable structure for function. They are highly prevalent in biology, play fundamental roles, and are extensively involved in human diseases. For signaling and regulation, IDPs often fold into stable structures upon binding to specific targets. The mechanisms of these coupled binding and folding processes are of significant importance because they underlie the organization of regulatory networks that dictate various aspects of cellular decision-making. This review first discusses the challenge in detailed experimental characterization of these heterogeneous and dynamics proteins and the unique and exciting opportunity for physics-based modeling to make crucial contributions, and then summarizes key lessons from recent de novo simulations of the structure and interactions of several regulatory IDPs.     

NMR chemical shift perturbation study of the N-terminal domain of Hsp90 upon binding of ADP,AMP-PNP,geldanamycin, and radicicol

Hsp90 is one of the most abundant chaperone proteins in the cytosol. In an ATP-dependent manner it plays an essential role in the folding and activation of a range of client proteins involved in signal transduction and cell cycle regulation. We used NMR shift perturbation experiments to obtain information on the structural implications of the binding of AMP-PNP (adenylyl-imidodiphosphate-a non-hydrolysable ATP analogue), ADP and the inhibitors radicicol and geldanamycin. Analysis of (1)H,(15)N correlation spectra showed a specific pattern of chemical shift perturbations at N210 (ATP binding domain of Hsp90, residues 1-210) upon ligand binding. This can be interpreted qualitatively either as a consequence of direct ligand interactions or of ligand-induced conformational changes within the protein. All ligands show specific interactions in the binding site, which is known from the crystal structure of the N-terminal domain of Hsp90. For AMP-PNP and ADP, additional shift perturbations of residues outside the binding pocket were observed and can be regarded as a result of conformational rearrangement upon binding. According to the crystal structures, these regions are the first alpha-helix and the "ATP-lid" ranging from amino acids 85 to 110. The N-terminal domain is therefore not a passive nucleotide-binding site, as suggested by X-ray crystallography, but responds to the binding of ATP in a dynamic way with specific structural changes required for the progression of the ATPase cycle.     

Ligand Binding to Dynamically Populated G-Quadruplex DNA

Several small-molecule ligands specifically bind and stabilize G-quadruplex (G4) nucleic acid structures, which are considered to be promising therapeutic targets. G4s are polymorphic structures of varying stability, and their formation is dynamic. Here, we investigate the mechanisms of ligand binding to dynamically populated human telomere G4 DNA by using the bisquinolinium based ligand Phen-DC3 and a combination of single-molecule FRET microscopy, ensemble FRET and CD spectroscopies. Different cations are used to tune G4 polymorphism and folding dynamics. We find that ligand binding occurs to pre-folded G4 structures and that Phen-DC3 also induces G4 formation in unfolded single strands. Following ligand binding to dynamically populated G4s, the DNA undergoes pronounced conformational redistributions that do not involve direct ligand-induced G4 conformational interconversion. On the contrary, the redistribution is driven by ligand-induced G4 folding and trapping of dynamically populated short-lived conformation states. Thus, ligand-induced stabilization does not necessarily require the initial presence of stably folded G4s.     

Membrane Association Modes of Natural Anticancer Peptides: Mechanistic Details on Helicity,Orientation, and Surface Coverage

Anticancer peptides (ACPs) could potentially offer many advantages over other cancer therapies. ACPs often target cell membranes, where their surface mechanism is coupled to a conformational change into helical structures. However, details on their binding are still unclear, which would be crucial to reach progress in connecting structural aspects to ACP action and to therapeutic developments. Here we investigated natural helical ACPs, Lasioglossin LL-III, Macropin 1, Temporin-La, FK-16, and LL-37, on model liposomes, and also on extracellular vesicles (EVs), with an outer leaflet composition similar to cancer cells. The combined simulations and experiments identified three distinct binding modes to the membranes. Firstly, a highly helical structure, lying mainly on the membrane surface; secondly, a similar, yet only partially helical structure with disordered regions; and thirdly, a helical monomeric form with a non-inserted perpendicular orientation relative to the membrane surface. The latter allows large swings of the helix while the N-terminal is anchored to the headgroup region. These results indicate that subtle differences in sequence and charge can result in altered binding modes. The first two modes could be part of the well-known carpet model mechanism, whereas the newly identified third mode could be an intermediate state, existing prior to membrane insertion.     

Structure‐Guided Rational Design of α/β‐Peptide Foldamers with High Affinity for BCL‐2 Family Prosurvival Proteins

We have used computational methods to improve the affinity of a foldamer ligand for its target protein. The effort began with a previously reported α/β‐peptide based on the BH3 domain of the proapoptotic protein Puma; this foldamer binds tightly to Bcl‐x_L but weakly to Mcl‐1. The crystal structure of the Puma‐derived α/β‐peptide complexed to Bcl‐x_L was used as the basis for computational design of variants intended to display improved binding to Mcl‐1. Molecular modelling suggested modification of three α residues of the original α/β backbone. Individually, each substitution caused only a modest (4‐ to 15‐fold) gain in affinity; however, together the three substitutions led to a 250‐fold increase in binding to Mcl‐1. These modifications had very little effect on affinity for Bcl‐x_L. Crystal structures of a number of the new α/β‐peptides bound to either Mcl‐1 or Bcl‐x_L validated the selection of each substitution. Overall, our findings demonstrate that structure‐guided rational design can be used to improve affinity and alter partner selectivity of peptidic ligands with unnatural backbones that bind to specific protein partners.     

Anchoring Intrinsically Disordered Proteins to Multiple Targets: Lessons from N-Terminus of the p53 Protein

Anchor residues, which are deeply buried upon binding, play an important role in protein-protein interactions by providing recognition specificity and facilitating the binding kinetics. Up to now, studies on anchor residues have been focused mainly on ordered proteins. In this study, we investigated anchor residues in intrinsically disordered proteins (IDPs) which are flexible in the free state. We identified the anchor residues of the N-terminus of the p53 protein (Glu17-Asn29, abbreviated as p53N) which are involved in binding with two different targets (MDM2 and Taz2), and analyzed their side chain conformations in the unbound states. The anchor residues in the unbound p53N were found to frequently sample conformations similar to those observed in the bound complexes (i.e., Phe19, Trp23, and Leu26 in the p53N-MDM2 complex, and Leu22 in the p53N-Taz2 complex). We argue that the bound-like conformations of the anchor residues in the unbound state are important for controlling the specific interactions between IDPs and their targets. Further, we propose a mechanism to account for the binding promiscuity of IDPs in terms of anchor residues and molecular recognition features (MoRFs).     

Metal‐Assisted Folding of Prolinomycin Allows Facile Design of Functional Peptides

Cyclic peptides have been proposed as privileged scaffolds that might mimic the folding and function of natural proteins. However, simple cyclic peptides typically cannot fold into well‐defined structures. Herein, we describe a foldable cyclic peptide scaffold on which functional side chains can be displayed for targeted recognition of biomolecules. The foldable scaffold is based on prolinomycin, a proline‐rich analogue of valinomycin. We report synthetic mutants of prolinomycin that retain the metal‐assisted folding behavior under physiological conditions. The predictable structure formation of prolinomycin makes it a powerful platform to enable the development of synthetic receptors for biomolecules of interest. We demonstrate the potential of this scaffold by creating prolinomycin mutants that selectively bind anionic vesicles and bacterial cells.     

Order/Disorder in Protein and Peptide-Based Biomaterials

Nature utilizes both order and disorder (or controlled disorder) to achieve exceptional materials properties and functions, while synthetic supramolecular materials mostly exploit just supramolecular order, thus limiting the structural diversity, responsiveness and consequent adaptive functions that can be accessed. Herein, we review the emerging field of supramolecular biomaterials where disorder and order deliberately co-exist, and can be dynamically regulated by considering both entropic and enthalpic factors in design. We focus on sequence-structure relationships that govern the (cooperative) assembly pathways of protein and peptide building blocks in these materials. Increasingly, there is an interest in introducing dynamic features in protein and peptide-based structures, such as the remarkable thermo-responsiveness and exceptional mechanical properties of elastin materials. Simultaneously, advances in the field of intrinsically disordered proteins (IDPs) give new insights about their involvement in intracellular liquid-liquid phase separation and formation of disordered, dynamic coacervate structures. These have inspired efforts to design biomaterials with similar dynamic properties. These hybrid ordered/disordered materials employ a combination of intramolecular and supramolecular order/disorder features for construction of assemblies that are dynamically reconfigurable. The assembly of these dynamic structures is mainly entropy-driven, relying on electrostatic and hydrophobic interactions and is mediated in part through the adopted (unstructured) protein conformation or by introducing an oppositely charged guest for peptide building blocks. Examples include design of protein building blocks composed of disordered repeat sequences of elastin-like polypeptides in combination with ordered regions that adopt a secondary structure, the co-assembly of proteins with peptide amphiphiles to achieve reconfigurable, yet highly stable membranes or tyrosine-containing tripeptides with sequence-controlled order/disorder that upon enzymatic oxidation give rise to melanin-like polymeric pigments with customizable properties. The resulting hybrid materials with controlled disorder can be metastable, and sensitive to various external stimuli giving rise to insights that are especially attractive for the design of responsive and adaptive materials.     

Aptamers can discriminate alkaline proteins with high specificity

Aptamers are single-stranded nucleic acids that fold into stable three-dimensional structures with ligand binding sites that are complementary in shape and charge to a desired target. Aptamers are generated by an iterative process known as in vitro selection, which permits their isolation from pools of random sequences. While aptamers have been selected to bind a wide range of targets, it is generally thought that these molecules are incapable of discriminating strongly alkaline proteins due to the attractive forces that govern oppositely charged polymers (e.g., polyelectrolyte effect). Histones, eukaryotic proteins that make up the core structure of nucleosomes are attractive targets for exploring the binding properties of aptamers because these proteins have positively charged surfaces that bind DNA through noncovalent sequence-independent interactions. Previous selections by our lab and others have yielded DNA aptamers with high affinity but low specificity to individual histone proteins. Whether this is a general limitation of aptamers is an interesting question with important practical implications in the future development of protein affinity reagents. Here we report the in vitro selection of a DNA aptamer that binds to histone H4 with a K(d) of 13 nM and distinguishes other core histone proteins with 100 to 480-fold selectivity, which corresponds to a ΔΔG of up to 3.4 kcal mol(-1) . This result extends our fundamental understanding of aptamers and their ability to fold into shapes that selectively bind alkaline proteins.     

A tale of two targets: differential RNA selectivity of nucleobase-aminoglycoside conjugates

Aminoglycoside antibiotics are RNA-binding polyamines that can bind with similar affinities to structurally diverse RNA targets. To design new semisynthetic aminoglycosides with improved target selectivity, it is important to understand the energetic and structural basis by which diverse RNA targets recognize similar ligands. It is also imperative to discover how novel aminoglycosides could be rationally designed to have enhanced selectivity for a given target. Two RNA drug targets, the prokaryotic ribosomal A-site and the HIV-1 TAR, provide an excellent model system in which to dissect the issue of target selectivity, in that they each have distinctive interactions with aminoglycosides. We report herein the design, synthesis, and binding activity of novel nucleobase-aminoglycoside conjugates that were engineered to be more selective for the A-site binding pocket. Contrary to the structural design, the conjugates bind the A-site more weakly than does the parent compound and bind the TAR more tightly than the parent compound. This result implies that the two RNA targets differ in their ability to adapt to structurally diverse ligands and thus have inherently different selectivities. This work emphasizes the importance of considering the inherent selectivity traits of the RNA target when engineering new ligands.     

Close-range electrostatic interactions in proteins

Two types of noncovalent bonding interactions are present in protein structures, specific and nonspecific. Nonspecific interactions are mostly hydrophobic and van der Waals. Specific interactions are largely electrostatic. While the hydrophobic effect is the major driving force in protein folding, electrostatic interactions are important in protein folding, stability, flexibility, and function. Here we review the role of close-range electrostatic interactions (salt bridges) and their networks in proteins. Salt bridges are formed by spatially proximal pairs of oppositely charged residues in native protein structures. Often salt-bridging residues are also close in the protein sequence and fall in the same secondary structural element, building block, autonomous folding unit, domain, or subunit, consistent with the hierarchical model for protein folding. Recent evidence also suggests that charged and polar residues in largely hydrophobic interfaces may act as hot spots for binding. Salt bridges are rarely found across protein parts which are joined by flexible hinges, a fact suggesting that salt bridges constrain flexibility and motion. While conventional chemical intuition expects that salt bridges contribute favorably to protein stability, recent computational and experimental evidence shows that salt bridges can be stabilizing or destabilizing. Due to systemic protein flexibility, reflected in small-scale side-chain and backbone atom motions, salt bridges and their stabilities fluctuate in proteins. At the same time, genome-wide, amino acid sequence composition, structural, and thermodynamic comparisons of thermophilic and mesophilic proteins indicate that specific interactions, such as salt bridges, may contribute significantly towards the thermophilic-mesophilic protein stability differential.     

Protein-structure prediction by recombination of fragments

The field of protein-structure prediction has been revolutionized by the application of "mix-and-match" methods both in template-based homology modeling and in template-free de novo folding. Consensus analysis and recombination of fragments copied from known protein structures is currently the only approach that allows the building of models that are closer to the native structure of the target protein than the structure of its closest homologue. It is also the most successful approach in cases in which the target protein exhibits a novel three-dimensional fold. This review summarizes the recent developments in both template-based and template-free protein structure modeling and compares the available methods for protein-structure prediction by recombination of fragments. A convergence between the "protein folding" and "protein evolution" schools of thought is postulated.     

The folding pathway of an engineered circularly permuted PDZ domain

To understand the role of sequence connectivity in the folding pathway of a multi-state protein, we have analysed the folding kinetics of an engineered circularly permuted PDZ domain. This variant has been designed with the specific aim of posing two of the strands participating in the stabilisation of an early folding nucleus as contiguous elements in the primary structure. Folding of the circularly permuted PDZ2 has been explored by a variety of different experimental approaches including stopped-flow and continuous-flow kinetics, as well as ligand-induced folding experiments. Data reveal that although circular permutation introduces a significant destabilisation of the native state, a folding intermediate is stabilised and accumulated prior folding. Furthermore, quantitative analysis of the observed kinetics indicates an acceleration of the early folding events by more than two orders of magnitude. The results support the importance of sequence connectivity both in the mechanism and the speed of protein folding.     

Protein and peptide folding explored with molecular simulations

Molecular simulations, comprising models with atomic details of polypeptide and solvent as well as minimalist models employing only C alpha atoms, are being used with specialized simulation methods from statistical mechanics to examine fundamental questions in peptide and protein folding mechanism, kinetics, and thermodynamics. Detailed calculations of free energy changes along coordinates describing the formation of hydrogen-bonding interactions in helical, turn, and beta-sheet models provide insights into the time scale and mechanism of secondary structure formation. Potential roles for these processes in directing protein folding are also elucidated by such calculations. Analogous methodologies extended to more complex polypeptides with tertiary structures (proteins) are used to explore global questions about protein folding landscapes, to delineate atomic details of folding mechanism, and to elucidate putative roles for solvent in the late stages of folding.     

Effect of Polyphosphorylation on Behavior of Protein Disordered Regions

Proteins interact with many charged biological macromolecules (polyelectrolytes), including inorganic polyphosphates. Recently a new protein post-translational modification, polyphosphorylation, or a covalent binding of polyphosphate chain to lysine, was demonstrated in human and yeast. Herein, we performed the first molecular modeling study of a possible effect of polyphosphorylation on behavior of the modified protein using replica exchange molecular dynamics simulations in atomistic force field with explicit water. Human endoplasmin (GRP-94), a member of heat shock protein 90 family, was selected as a model protein. Intrinsically disordered region in N-terminal domain serving as a charged linker between domains and containing a polyacidic serine and lysine-rich motif, was selected as a potent polyphosphorylation site according to literature data. Polyphosphorylation, depending on exact modification site, has been shown to influence on the disordered loop flexibility and induce its further expanding, as well as induce changes in interaction with ordered part of the molecule. As a result, polyphosphorylation in N-terminal domain might affect interaction of HSP90 with client proteins since these chaperones play a key role in protein folding.     

Analysis of the Neutralizing Activity of Antibodies Targeting Open or Closed SARS-CoV-2 Spike Protein Conformations

SARS-CoV-2 infection elicits a polyclonal neutralizing antibody (nAb) response that primarily targets the spike protein, but it is still unclear which nAbs are immunodominant and what distinguishes them from subdominant nAbs. This information would however be crucial to predict the evolutionary trajectory of the virus and design future vaccines. To shed light on this issue, we gathered 83 structures of nAbs in complex with spike protein domains. We analyzed in silico the ability of these nAbs to bind the full spike protein trimer in open and closed conformations, and predicted the change in binding affinity of the most frequently observed spike protein variants in the circulating strains. This led us to define four nAb classes with distinct variant escape fractions. By comparing these fractions with those measured from plasma of infected patients, we showed that the class of nAbs that most contributes to the immune response is able to bind the spike protein in its closed conformation. Although this class of nAbs only partially inhibits the spike protein binding to the host’s angiotensin converting enzyme 2 (ACE2), it has been suggested to lock the closed pre-fusion spike protein conformation and therefore prevent its transition to an open state. Furthermore, comparison of our predictions with mRNA-1273 vaccinated patient plasma measurements suggests that spike proteins contained in vaccines elicit a different nAb class than the one elicited by natural SARS-CoV-2 infection and suggests the design of highly stable closed-form spike proteins as next-generation vaccine immunogens.     

Experimental evidence for the correlation of bond distances in peptide groups detected in ultrahigh-resolution protein structures

The structural analysis of a deamidated derivative of ribonucleaseA, determined at 0.87 Å resolution, reveals a highly significantnegative correlation between CN and CO bond distances in peptidegroups. This trend, i.e. the CO bond lengthens when the CN bondshortens, is also found in seven out of eight protein structures,determined at ultrahigh resolution (<0.95 Å). In fiveof them the linear correlation is statistically significantat the 95% confidence level. The present findings are consistentwith the traditional view of amide resonance and, although alreadyfound in small peptide structures, they represent a new andimportant result. In fact, in a protein structure the fine detailsof the peptide geometry are only marginally affected by thecrystal field and they are mostly produced by intramolecularand solvent interactions. The analysis of very high-resolutionprotein structures can reveal subtle information about localelectronic features of proteins which may be critical to folding,function or ligand binding.     

Hydrogen bonds and salt bridges across protein-protein interfaces

To understand further, and to utilize, the interactions across protein- protein interfaces, we carried out an analysis of the hydrogen bonds and of the salt bridges in a collection of 319 non-redundant protein- protein interfaces derived from high-quality X-ray structures. We found that the geometry of the hydrogen bonds across protein interfaces is generally less optimal and has a wider distribution than typically observed within the chains. This difference originates from the more hydrophilic side chains buried in the binding interface than in the folded monomer interior. Protein folding differs from protein binding. Whereas in folding practically all degrees of freedom are available to the chain to attain its optimal configuration, this is not the case for rigid binding, where the protein molecules are already folded, with only six degrees of translational and rotational freedom available to the chains to achieve their most favorable bound configuration. These constraints enforce many polar/charged residues buried in the interface to form weak hydrogen bonds with protein atoms, rather than strongly hydrogen bonding to the solvent. Since interfacial hydrogen bonds are weaker than the intra-chain ones to compete with the binding of water, more water molecules are involved in bridging hydrogen bond networks across the protein interface than in the protein interior. Interfacial water molecules both mediate non-complementary donor-donor or acceptor- acceptor pairs, and connect non-optimally oriented donor-acceptor pairs. These differences between the interfacial hydrogen bonding patterns and the intra-chain ones further substantiate the notion that protein complexes formed by rigid binding may be far away from the global minimum conformations. Moreover, we summarize the pattern of charge complementarity and of the conservation of hydrogen bond network across binding interfaces. We further illustrate the utility of this study in understanding the specificity of protein-protein associations, and hence in docking prediction and molecular (inhibitor) design.