Modeling Protein Excited-state Structures from “Over-length” Chemical Cross-links

Much of our understanding of protein structure and mechanistic function has been derived from static high-resolution structures. As structural biology has continued to evolve it has become clear that high-resolution structures alone are unable to fully capture the mechanistic basis for protein structure and function in solution. Recently Hydrogen/Deuterium-exchange Mass Spectrometry (HDX-MS) has developed into a powerful and versatile tool for structural biologists that provides novel insights into protein structure and function. HDX-MS enables direct monitoring of a protein's structural fluctuations and conformational changes under native conditions in solution even as it is carrying out its functions. In this review, we focus on the use of HDX-MS to monitor these dynamic changes in proteins. We examine how HDX-MS has been applied to study protein structure and function in systems ranging from large, complex assemblies to intrinsically disordered proteins, and we discuss its use in probing conformational changes during protein folding and catalytic function. STATEMENT FOR A BROAD AUDIENCE: The biophysical and structural characterization of proteins provides novel insight into their functionalities. Protein motions, ranging from small scale local fluctuations to larger concerted structural rearrangements, often determine protein function. Hydrogen/Deuterium-exchange Mass Spectrometry (HDX-MS) has proven a powerful biophysical tool capable of probing changes in protein structure and dynamic protein motions that are often invisible to most other techniques.

Chemical cross-linking coupled with mass spectrometry is a popular technique for deriving structural information on proteins and protein complexes. Also, cross-linking has become a powerful tool for stabilizing macromolecular complexes for single-particle cryo-electron microscopy. However, an effect of cross-linking on protein structure and function should not be forgotten, and surprisingly, it has not been investigated in detail so far. Here, we used kinetic studies, mass spectrometry, and NMR spectroscopy to systematically investigate an impact of cross-linking on structure and function of human carbonic anhydrase and alcohol dehydrogenase 1 from Saccharomyces cerevisiae. We found that cross-linking induces rather local structural disturbances and the overall fold is preserved even at a higher cross-linker concentration. The results establish general experimental conditions for chemical cross-linking with minimal effect on protein structure and function.

Proteins have evolved to carry out very specific functions within the cell by interacting with a diverse set of biomolecules. Understanding how a protein's higher order structure relates to its function is important for defining the molecular basis of these interactions. In recent years, mass spectrometry has become an important tool for dissecting protein structure and function. Using electrospray ionization (ESI)- and matrix-assisted laser desorption/ionization (MALDI)-based approaches, it has been possible to monitor protein folding, characterize noncovalent protein complexes, and assess the contribution of individual amino acid residues to a protein's function. Here, it is our goal to summarize these approaches and highlight recent, biologically relevant applications where mass spectrometry has provided unique insight into the mysteries of protein structure and function.

Protein engineering, the process by which novel proteins with desired properties are developed, has grown by leaps and bounds since the first examples of protein mutagenesis were described over three decades ago. In the last 30 years, protein engineers have successfully created a wide range of proteins tailored to specific industrial, medical, and research applications. Yet challenges remain that prevent the engineering of complex protein functions on demand. With the aim of creating a forum for the protein engineering community, the inaugural Protein Engineering Canada Conference was held on June 20–22, 2014, in Ottawa, Canada. Over the course of the 2-day conference, 115 protein scientists from over 30 institutions representing 5 countries shared ideas, networked with colleagues, and learned about exciting new research covering a broad array of topics such as enzyme engineering, computational protein design, X-ray crystallography, protein NMR, molecular modeling, and protein evolution. This special issue highlights the breadth of research that was covered during the Protein Engineering Canada Conference by including previously unpublished research articles submitted by speakers as well as some selections that were submitted directly to Protein Science.

Proteins are the base component that make all living organisms function. They are made up of amino acids and are responsible for the structure, function, and regulation of organisms’ tissues and organs. They can exist alone or as part of a multi-unit structure. They interact with other proteins to form stable or transient complexes. Protein function, such as transporting signals or converting energy, is determined by its structure, therefore being critical that we understand protein complexes at the cellular level. Chemical cross-linking combined with mass spectrometry is an established method in protein chemistry to explain lowresolution 3D protein structures and interacting sequences in protein complexes. Chemical cross-linking of a protein enables scientists to understand how the protein folds, whereas intermolecular cross-linking between different proteins enables to determine which components interact and how and where they physically contact each other. Mass spectrometry is used to acquire distance information and distance constraints within a molecule. The challenge is to how to best take advantage of the information provided by these methods utilizing novel visualization analytics that can help explore much more detailed information on protein structure than traditional biomechanical methods, such as the Edman degradation which sequentially removes one residue at a time and the structures are observed through chromatographic procedures. Additionally, data resulting from chemical cross-linking in most cases come in a raw format that makes it hard for the user to absorb the data and get a bigger picture of the existing interactions as well as getting a close insight on smaller reactions. This has motivated the department of Bioinformatics at the University of Arkansas at Little Rock to develop an algorithm named “X-Linked Peptide Mapping” that allows the analysis of the data and identify interacting peptides (short chains of amino acids) in an easier, more accurate way avoiding the limitations mentioned before. Since the field of chemical cross-linking mass spectrometry of protein-protein interactions hasn’t been explored visually in a comprehensive way before, the results encouraged us at the Emerging Analytics Center at the University of Arkansas at Little Rock to develop an interactive web application that allows the user to visualize the results of the analysis including 2D information representations as well as 3D structural modeling representation of the interactions,. This paper presents preliminary research in this area, including the development of a prototype immersive environment to explore the molecular structures.

Apart from playing key roles in drug metabolism and adverse drug-drug interactions, CYPs are potential drug targets to treat a variety of diseases. The intervention of over expression of P450 1A1 (CYP1A1) in tumor cells is identified as a novel strategy for anticancer therapy. We investigated three isoforms of CYP1 family (CYP1A1, CYP1A2, and CYP1B1) for their substrate specificity. The understanding of macromolecular features that govern substrate specificity is required to understand the interplay between the protein function and dynamics. This can help in design of new antitumor molecule specifically metabolized by CYP1A1 to mediate their antitumor activity. In the present study, we carried out the comparative protein structure analysis of the three isoforms. Sequence alignment, root mean square deviation (RMSD) analysis, B-factor analysis was performed to give a better understanding of the macromolecular features involved in substrate specificity and to understand the interplay between protein dynamics and functions which will have important implications on rational design of anticancer drugs. We identified the differences in amino acid residues among the three isoforms of CYP1 family, which may account for differential substrate specificity. Six putative substrate recognition sequences are characterized along with the regions they form in the protein structure. Further the RMSD and B-factor analysis provides the information about the identified residues having the maximum RMSD and B-factor deviations.

GFP-like proteins, originally cloned from marine animals, are genetically encoded fluorescence markers that have become indispensable tools for the life sciences. The search for GFP-like proteins with novel and improved properties is still ongoing, however, driven by the persistent need for advanced and specialized fluorescence labels for cellular imaging. Overall, the structures of these proteins are similar, but considerable variations have been found in the covalent structures and stereochemistry of the fluorophore, which govern essential optical properties such as the absorption/emission wavelengths. Moreover, as the fluorophore-enclosing cavity forms its solvation shell, it can also have a significant effect on the absorption/emission wavelengths and the brightness of the fluorophore. Most exciting are recent developments of photoactivatable fluorescence markers which change their color and/or intensity upon irradiation with light of specific wavelengths. A detailed understanding of the structure and dynamics of GFP-like proteins greatly aids in the rational engineering of advanced fluorescence marker proteins. Herein, we review our present knowledge of the structural diversity of GFP-like proteins and discuss how structure and dynamics govern their optical properties, with an emphasis on red fluorescent proteins.

Simple SummaryVarious techniques are at our disposal for probing the structure and dynamics of proteins. Mass spectrometry stands out prominently in this realm due to its exceptional detection specificity and sensitivity. This enables the precise identification of individual molecular species in complex mixtures with remarkable sensitivity. The unique strengths of mass spectrometry have spurred the development of numerous approaches for characterizing protein molecules. In this review, our focus is on a specific mass-spectrometry-based method known as histidine hydrogen–deuterium exchange mass spectrometry (His-HDX-MS). We delve into its principle, experimental workflow, applications and the details of data analysis and interpretation.Histidine residues play crucial roles in shaping the function and structure of proteins due to their unique ability to act as both acids and bases. In other words, they can serve as proton donors and acceptors at physiological pH. This exceptional property is attributed to the side-chain imidazole ring of histidine residues. Consequently, determining the acid-base dissociation constant (Ka) of histidine imidazole rings in proteins often yields valuable insights into protein functions. Significant efforts have been dedicated to measuring the pKa values of histidine residues in various proteins, with nuclear magnetic resonance (NMR) spectroscopy being the most commonly used technique. However, NMR-based methods encounter challenges in assigning signals to individual imidazole rings and require a substantial amount of proteins. To address these issues associated with NMR-based approaches, a mass-spectrometry-based method known as histidine hydrogen–deuterium exchange mass spectrometry (His-HDX-MS) has been developed. This technique not only determines the pKa values of histidine imidazole groups but also quantifies their solvent accessibility. His-HDX-MS has proven effective across diverse proteins, showcasing its utility. This review aims to clarify the fundamental principles of His-HDX-MS, detail the experimental workflow, explain data analysis procedures and provide guidance for interpreting the obtained results.

Structural genomics provides an important approach for characterizing and understanding systems biology. As a step toward better integrating protein three-dimensional (3D) structural information in cancer systems biology, we have constructed a Human Cancer Pathway Protein Interaction Network (HCPIN) by analysis of several classical cancer-associated signaling pathways and their physical protein-protein interactions. Many well known cancer-associated proteins play central roles as "hubs" or "bottlenecks" in the HCPIN. At least half of HCPIN proteins are either directly associated with or interact with multiple signaling pathways. Although some 45% of residues in these proteins are in sequence segments that meet criteria sufficient for approximate homology modeling (Basic Local Alignment Search Tool (BLAST) E-value <10(-6)), only approximately 20% of residues in these proteins are structurally covered using high accuracy homology modeling criteria (i.e. BLAST E-value <10(-6) and at least 80% sequence identity) or by actual experimental structures. The HCPIN Website provides a comprehensive description of this biomedically important multipathway network together with experimental and homology models of HCPIN proteins useful for cancer biology research. To complement and enrich cancer systems biology, the Northeast Structural Genomics Consortium is targeting >1000 human proteins and protein domains from the HCPIN for sample production and 3D structure determination. The long range goal of this effort is to provide a comprehensive 3D structure-function database for human cancer-associated proteins and protein complexes in the context of their interaction networks. The network-based target selection (BioNet) approach described here is an example of a general strategy for targeting co-functioning proteins by structural genomics projects.

Determining structures of protein/DNS complexes by NMR, A.M. Gronenborn, G.M. Clore fitting protein structures to experimental data - lessons from before your mother was born, J.C. Hoch, et al multisubunit allosteric proteins, W.N. Lipscomb studying protein structure and function by directed evolution - examples with engineered antibodies, A. Pluckthun high pressure effects on protein structure, K.E. Prehoda, et al the role of molecular recognition in activation and regulation in the growth hormone prolactin family of hormones and receptors, A.A. Kossiakoff et al protein dynamics and function, H. Frauenfelder what can NMR tell us about protein motions? O. Jardetzky the investigation of protein dynamics via the spectral density function, R.A. Atkinson, J.F. Lefevre NMR studies of protein sidechain dynamics - examples from antifreeze and calcium regulatory proteins, L. Spyracopoulos, et al monitoring protein folding using time-resolved biophysical techniques, K.W. Plaxco, C.M. Dobson NMR structure determination of an antibiotic RNA complex, S. Yoshizawa, J.D. Puglisi.

Proteins are inherently plastic molecules, whose function often critically depends on excursions between different molecular conformations (conformers). However, a rigorous understanding of the relation between a protein's structure, dynamics and function remains elusive. This is because many of the conformers on its energy landscape are only transiently formed and marginally populated (less than a few per cent of the total number of molecules), so that they cannot be individually characterized by most biophysical tools. Here we study a lysozyme mutant from phage T4 that binds hydrophobic molecules and populates an excited state transiently (about 1 ms) to about 3% at 25 °C (ref. 5). We show that such binding occurs only via the ground state, and present the atomic-level model of the 'invisible', excited state obtained using a combined strategy of relaxation-dispersion NMR (ref. 6) and CS-Rosetta model building that rationalizes this observation. The model was tested using structure-based design calculations identifying point mutants predicted to stabilize the excited state relative to the ground state. In this way a pair of mutations were introduced, inverting the relative populations of the ground and excited states and altering function. Our results suggest a mechanism for the evolution of a protein's function by changing the delicate balance between the states on its energy landscape. More generally, they show that our approach can generate and validate models of excited protein states.

The ability of proteins to regulate their own enzymatic activity can be facilitated by changes in structure or protein dynamics in response to external regulators. Because many proteins contain SH2 and SH3 domains, transmission of information between the domains is a potential method of allosteric regulation. To determine if ligand binding to one modular domain may alter structural dynamics in an adjacent domain, allowing potential transmission of information through the protein, we used hydrogen exchange and mass spectrometry to measure changes in protein dynamics in the SH3 and SH2 domains of hematopoietic cell kinase (Hck). Ligand binding to either domain had little or no effect on hydrogen exchange in the adjacent domain, suggesting that changes in protein structure or dynamics are not a means of SH2/SH3 crosstalk. Furthermore, ligands of varying affinity covalently attached to SH3/SH2 altered dynamics only in the domain to which they bind. Such results demonstrate that ligand binding may not structurally alter adjacent SH3/SH2 domains and implies that other aspects of protein architecture contribute to the multiple levels of regulation in proteins containing SH3 and SH2 domains.

Evolved SARS-CoV-2 variants of concern (VOCs) spread through human populations in succession. Major virus variations are in the entry-facilitating viral spike (S) proteins; Omicron VOCs have 29-40 S mutations relative to ancestral D614G viruses. The impacts of this Omicron divergence on S protein structure, antigenicity, cell entry pathways, and pathogenicity have been extensively evaluated, yet gaps remain in correlating specific alterations with S protein functions. In this study, we compared the functions of ancestral D614G and Omicron VOCs using cell-free assays that can reveal differences in several distinct steps of the S-directed virus entry process. Relative to ancestral D614G, Omicron BA.1 S proteins were hypersensitized to receptor activation, to conversion into intermediate conformational states, and to membrane fusion-activating proteases. We identified mutations conferring these changes in S protein character by evaluating domain-exchanged D614G/Omicron recombinants in the cell-free assays. Each of the three functional alterations was mapped to specific S protein domains, with the recombinants providing insights on inter-domain interactions that fine-tune S-directed virus entry. Our results provide a structure-function atlas of the S protein variations that may promote the transmissibility and infectivity of current and future SARS-CoV-2 VOCs. IMPORTANCE Continuous SARS-CoV-2 adaptations generate increasingly transmissible variants. These succeeding variants show ever-increasing evasion of suppressive antibodies and host factors, as well as increasing invasion of susceptible host cells. Here, we evaluated the adaptations enhancing invasion. We used reductionist cell-free assays to compare the entry steps of ancestral (D614G) and Omicron (BA.1) variants. Relative to D614G, Omicron entry was distinguished by heightened responsiveness to entry-facilitating receptors and proteases and by enhanced formation of intermediate states that execute virus-cell membrane fusion. We found that these Omicron-specific characteristics arose from mutations in specific S protein domains and subdomains. The results reveal the inter-domain networks controlling S protein dynamics and efficiencies of entry steps, and they offer insights on the evolution of SARS-CoV-2 variants that arise and ultimately dominate infections worldwide.

Conformational ensembles are increasingly recognized as a useful representation to describe fundamental relationships between protein structure, dynamics and function. Here we present an ensemble of ubiquitin in solution that is created by sampling conformational space without experimental information using “Backrub” motions inspired by alternative conformations observed in sub-Angstrom resolution crystal structures. Backrub-generated structures are then selected to produce an ensemble that optimizes agreement with nuclear magnetic resonance (NMR) Residual Dipolar Couplings (RDCs). Using this ensemble, we probe two proposed relationships between properties of protein ensembles: (i) a link between native-state dynamics and the conformational heterogeneity observed in crystal structures, and (ii) a relation between dynamics of an individual protein and the conformational variability explored by its natural family. We show that the Backrub motional mechanism can simultaneously explore protein native-state dynamics measured by RDCs, encompass the conformational variability present in ubiquitin complex structures and facilitate sampling of conformational and sequence variability matching those occurring in the ubiquitin protein family. Our results thus support an overall relation between protein dynamics and conformational changes enabling sequence changes in evolution. More practically, the presented method can be applied to improve protein design predictions by accounting for intrinsic native-state dynamics.

Ensemble-function relationships: From qualitative to quantitative relationships between protein structure and function