Probing Target Search Pathways during Protein-Protein Association by Rational Mutations Based on Paramagnetic Relaxation Enhancement

Facilitated Protein Association via Engineered Target Search Pathways Visualized by Paramagnetic NMR Spectroscopy

Proteins assemble to form functional complexes via the progressive evolution of nonspecific complexes formed by transient encounters. This target search process generally involves multiple routes that lead the initial encounters to the final complex. In this study, we have employed NMR paramagnetic relaxation enhancement to visualize the encounter complexes between histidine-containing phosphocarrier protein and the N-terminal domain of enzyme I and demonstrate that protein association can be significantly enhanced by engineering on-pathways. Specifically, mutations in surface charges away from the binding interface can elicit new on-pathway encounter complexes, increasing their binding affinity by an order of magnitude. The structure of these encounter complexes indicates that such on-pathways extend the built-in target search process of the native protein complex. Furthermore, blocking on-pathways by countering mutations reverts their binding affinity. Our study thus illustrates that protein interactions can be engineered by rewiring the target search process.

Structure and Function of Transient Encounters of Redox Proteins

Many biomolecular interactions proceed via lowly populated, transient intermediates. Believed to facilitate formation of a productive complex, these short-lived species are inaccessible to conventional biophysical and structural techniques and, until recently, could only be studied by theoretical simulations. Recent development of experimental approaches sensitive to the presence of minor species--in particular paramagnetic relaxation enhancement (PRE) NMR spectroscopy--has enabled direct visualization and detailed characterization of such lowly populated states. Collectively referred to as an encounter complex, the binding intermediates are particularly important in transient protein interactions, such as those orchestrating signaling cascades or energy-generating electron transfer (ET) chains. Here I discuss encounter complexes of redox proteins mediating biological ET reactions, which are essential for many vital cellular activities including oxidative phosphorylation and photosynthesis. In particular, this Account focuses on the complex of cytochrome c (Cc) and cytochrome c peroxidase (CcP), which is a paradigm of biomolecular ET and an attractive system for studying protein binding and enzymatic catalysis. The Cc-CcP complex formation proceeds via an encounter state, consisting of multiple protein-protein orientations sampled in the search of the dominant, functionally active bound form and exhibiting a broad spatial distribution, in striking agreement with earlier theoretical simulations. At low ionic strength, CcP binds another Cc molecule to form a weak ternary complex, initially inferred from kinetics experiments and postulated to account for the measured ET activity. Despite strenuous efforts, the ternary complex could not be observed directly and remained eagerly sought for the past two decades. Very recently, we have solved its structure in solution and shown that it consists of two binding forms: the dominant, ET-inactive geometry and an ensemble of lowly populated species with short separations between Cc and CcP cofactors, which summarily account for the measured ET rate. Unlike most protein complexes, which require accurate alignment of the binding surfaces in a single, well-defined orientation to carry out their function, redox proteins can form multiple productive complexes. As fast ET will occur any time the redox centers of the binding partners are close enough to ensure efficient electron tunneling across the interface, many protein-protein orientations are expected to be ET active. The present analysis confirms that the low-occupancy states can support the functional ET activity and contribute to the stability of redox protein complexes. As illustrated here, boundaries between the dominant and the encounter forms become blurred for many dynamic ET systems, which are more aptly described by ensembles of functionally and structurally heterogeneous bound forms.

Using a consensus approach based on the conservation of inter-residue contacts to rank CAPRI models

Herein we propose the use of a consensus approach, CONSRANK, for ranking CAPRI models. CONSRANK relies on the conservation of inter-residue contacts in the analyzed decoys ensemble. Models are ranked according to their ability to match the most frequently observed contacts. We applied CONSRANK to 19 CAPRI protein-protein targets, covering a wide range of prediction difficulty and involved in a variety of biological functions. CONSRANK results are consistently good, both in terms of native-like (NL) solutions ranked in the top positions and of values of the Area Under the receiver operating characteristic Curve (AUC). For targets having a percentage of NL solutions above 3%, an excellent performance is found, with AUC values approaching 1. For the difficult target T46, having only 3.4% NL solutions, the number of NL solutions in the top 5 and 10 ranked positions is enriched by a factor 30, and the AUC value is as high as 0.997. AUC values below 0.8 are only found for targets featuring a percentage of NL solutions within 1.1%. Remarkably, a false consensus emerges only in one case, T42, which happens to be an artificial protein, whose assembly details remain uncertain, based on controversial experimental data. We also show that CONSRANK still performs very well on a limited number of models, provided that more than 1 NL solution is included in the ensemble, thus extending its applicability to cases where few dozens of models are available.

Atom depth analysis delineates mechanisms of protein intermolecular interactions

The systematic analysis of amino acid distribution, performed inside a large set of resolved protein structures, sheds light on possible mechanisms driving non random protein-protein approaches. Protein Data Bank entries have been selected using as filters a series of restrictions ensuring that the shape of protein surface is not modified by interactions with large or small ligands. 3D atom depth has been evaluated for all the atoms of the 2,410 selected structures. The amino acid relative population in each of the structural layers formed by grouping atoms on the basis of their calculated depths, has been evaluated. We have identified seven structural layers, the inner ones reproducing the core of proteins and the outer one incorporating their most protruding moieties. Quantitative analysis of amino acid contents of structural layers identified, as expected, different behaviors. Atoms of Q, R, K, N, D residues are increasingly more abundant in going from core to surfaces. An opposite trend is observed for V, I, L, A, C, and G. An intermediate behavior is exhibited by P, S, T, M, W, H, F and Y. The outer structural layer hosts predominantly E and K residues whose charged moieties, protruding from outer regions of the protein surface, reorient free from steric hindrances, determining specific electrodynamics maps. This feature may represent a protein signature for long distance effects, driving the formation of encounter complexes and the eventual short distance approaches that are required for protein-protein functional interactions.