Domains In Multidomain Proteins Research Articles

CATH 2024: CATH-AlphaFlow Doubles the Number of Structures in CATH and Reveals Nearly 200 New Folds

CATH (https://www.cathdb.info) classifies domain structures from experimental protein structures in the PDB and predicted structures in the AlphaFold Database (AFDB). To cope with the scale of the predicted data a new NextFlow workflow (CATH-AlphaFlow), has been developed to classify high-quality domains into CATH superfamilies and identify novel fold groups and superfamilies. CATH-AlphaFlow uses a novel state-of-the-art structure-based domain boundary prediction method (ChainSaw) for identifying domains in multi-domain proteins. We applied CATH-AlphaFlow to process PDB structures not classified in CATH and AFDB structures from 21 model organisms, expanding CATH by over 100%.Domains not classified in existing CATH superfamilies or fold groups were used to seed novel folds, giving 253 new folds from PDB structures (September 2023 release) and 96 from AFDB structures of proteomes of 21 model organisms. Where possible, functional annotations were obtained using (i) predictions from publicly available methods (ii) annotations from structural relatives in AFDB/UniProt50. We also predicted functional sites and highly conserved residues. Some folds are associated with important functions such as photosynthetic acclimation (in flowering plants), iron permease activity (in fungi) and post-natal spermatogenesis (in mice).CATH-AlphaFlow will allow us to identify many more CATH relatives in the AFDB, further characterising the protein structure landscape.

The application of solution NMR spectroscopy to study dynamics of two-domain calcium-binding proteins

Protein dynamics due to flexible linkers connecting otherwise rigid domains may be critical for the functioning of a variety of biological systems, ranging from membrane transporters to calcium-signaling and the formation of intercellular junctions. Considering that NMR spectroscopy is extremely powerful to characterize dynamics at various time scales, this manuscript brings an overview of the main strategies that have been employed to characterize inter-domain dynamics in relevant biological systems. Emphasis was given to the calcium binding proteins: calmodulin, cadherin, and the Na+/Ca2+ exchanger calcium-sensor domain. The introduction of paramagnetic centers in diamagnetic proteins is seen as key to obtaining unambiguous information about inter-domain dynamics. This is because the self-alignment of one of the domains in multi-domain proteins avoids the problem of dealing with alignment tensor fluctuations in dynamic systems. The combination of residual dipolar couplings (RDCs) and pseudocontact shifts (PCSs) with computational strategies aiming to provide an ensemble description of protein dynamics is seen as the most powerful strategy to gain detailed atomistic information on inter-domain motions. It is noteworthy that the cadherin ectodomains and the Na+/Ca2+ exchanger calcium sensor respond in the same way upon calcium-binding: in the absence of calcium the two domains are flexibly linked to one another and may preferentially sample kinked inter-domain arrangements, while calcium binding stabilizes a rigid and extended inter-domain arrangement. It is thus remarkable that nature chose the same molecular mechanism to promote two very different biological functions that are triggered by calcium signaling: intercellular adhesion by the formation of cadherin dimers and the allosteric regulation of a membrane transporter in the case of the Na+/Ca2+ exchanger.

How to choose templates for modeling of protein complexes: Insights from benchmarking template-based docking.

Comparative docking is based on experimentally determined structures of protein-protein complexes (templates), following the paradigm that proteins with similar sequences and/or structures form similar complexes. Modeling utilizing structure similarity of target monomers to template complexes significantly expands structural coverage of the interactome. Template-based docking by structure alignment can be performed for the entire structures or by aligning targets to the bound interfaces of the experimentally determined complexes. Systematic benchmarking of docking protocols based on full and interface structure alignment showed that both protocols perform similarly, with top 1 docking success rate 26%. However, in terms of the models' quality, the interface-based docking performed marginally better. The interface-based docking is preferable when one would suspect a significant conformational change in the full protein structure upon binding, for example, a rearrangement of the domains in multidomain proteins. Importantly, if the same structure is selected as the top template by both full and interface alignment, the docking success rate increases 2-fold for both top 1 and top 10 predictions. Matching structural annotations of the target and template proteins for template detection, as a computationally less expensive alternative to structural alignment, did not improve the docking performance. Sophisticated remote sequence homology detection added templates to the pool of those identified by structure-based alignment, suggesting that for practical docking, the combination of the structure alignment protocols and the remote sequence homology detection may be useful in order to avoid potential flaws in generation of the structural templates library.

Functional interplay between protein domains in a supramodular structure involving the postsynaptic density protein PSD-95

Cell scaffolding and signaling are governed by protein-protein interactions. Although a particular interaction is often defined by two specific domains binding to each other, this interaction often occurs in the context of other domains in multidomain proteins. How such adjacent domains form supertertiary structures and modulate protein-protein interactions has only recently been addressed and is incompletely understood. The postsynaptic density protein PSD-95 contains a three-domain supramodule, denoted PSG, which consists of PDZ, Src homology 3 (SH3), and guanylate kinase-like domains. The PDZ domain binds to the C terminus of its proposed natural ligand, CXXC repeat-containing interactor of PDZ3 domain (CRIPT), and results from previous experiments using only the isolated PDZ domain are consistent with the simplest scenario for a protein-protein interaction; namely, a two-state mechanism. Here we analyzed the binding kinetics of the PSG supramodule with CRIPT. We show that PSG binds CRIPT via a more complex mechanism involving two conformational states interconverting on the second timescale. Both conformational states bound a CRIPT peptide with similar affinities but with different rates, and the distribution of the two conformational states was slightly shifted upon CRIPT binding. Our results are consistent with recent structural findings of conformational changes in PSD-95 and demonstrate how conformational transitions in supertertiary structures can shape the ligand-binding energy landscape and modulate protein-protein interactions.

Mapping the allosteric network within a SH3 domain

SH3 domains are very abundant protein-protein interactions modules, involved in the regulation of several cellular processes. Whilst they have been associated to allosteric communication pathways between contiguous domains in multi-domain proteins, there is lack of information regarding the intra-domain allosteric cross-talk within the SH3 moiety. Here we scrutinize the presence of an allosteric network in the C-terminal SH3 domain of Grb2 protein, upon binding the Grb2-associated binding 2 protein. To explore allostery, we performed double mutant cycle analysis, a powerful quantitative approach based on mutagenesis in conjunction with kinetic experiments. Data reveal the presence of an unexpected allosteric sparse network that modulates the affinity between the SH3 domain and its physiological partner.

Widespread evolutionary crosstalk among protein domains in the context of multi-domain proteins.

Domains are distinct units within proteins that typically can fold independently into recognizable three-dimensional structures to facilitate their functions. The structural and functional independence of protein domains is reflected by their apparent modularity in the context of multi-domain proteins. In this work, we examined the coupling of evolution of domain sequences co-occurring within multi-domain proteins to see if it proceeds independently, or in a coordinated manner. We used continuous information theory measures to assess the extent of correlated mutations among domains in multi-domain proteins from organisms across the tree of life. In all multi-domain architectures we examined, domains co-occurring within protein sequences had to some degree undergone concerted evolution. This finding challenges the notion of complete modularity and independence of protein domains, providing new perspective on the evolution of protein sequence and function.

Nanomechanics of multidomain neuronal cell adhesion protein contactin revealed by single molecule AFM and SMD

Contactin-4 (CNTN4) is a complex cell adhesion molecule (CAM) localized at neuronal membranes, playing a key role in maintaining the mechanical integrity and signaling properties of the synapse. CNTN4 consists of six immunoglobulin C2 type (IgC2) domains and four fibronectin type III (FnIII) domains that are shared with many other CAMs. Mutations in CNTN4 gene have been linked to various psychiatric disorders. Toward elucidating the response of this modular protein to mechanical stress, we studied its force-induced unfolding using single molecule atomic force microscopy (smAFM) and steered molecular dynamics (SMD) simulations. Extensive smAFM and SMD data both indicate the distinctive mechanical behavior of the two types of modules distinguished by unique force-extension signatures. The data also reveal the heterogeneity of the response of the individual FNIII and IgC2 modules, which presumably plays a role in the adaptability of CNTN4 to maintaining cell-cell communication and adhesion properties under different conditions. Results show that extensive sampling of force spectra, facilitated by robot-enhanced AFM, can help reveal the existence of weak stabilizing interactions between the domains of multidomain proteins, and provide insights into the nanomechanics of such multidomain or heteromeric proteins.

Segmental, Domain-Selective Perdeuteration and Small-Angle Neutron Scattering for Structural Analysis of Multi-Domain Proteins.

Multi-domain proteins play critical roles in fine-tuning essential processes in cellular signaling and gene regulation. Typically, multiple globular domains that are connected by flexible linkers undergo dynamic rearrangements upon binding to protein, DNA or RNA ligands. RNA binding proteins (RBPs) represent an important class of multi-domain proteins, which regulate gene expression by recognizing linear or structured RNA sequence motifs. Here, we employ segmental perdeuteration of the three RNA recognition motif (RRM) domains in the RBP TIA-1 using Sortase A mediated protein ligation. We show that domain-selective perdeuteration combined with contrast-matched small-angle neutron scattering (SANS), SAXS and computational modeling provides valuable information to precisely define relative domain arrangements. The approach is generally applicable to study conformational arrangements of individual domains in multi-domain proteins and changes induced by ligand binding.

TreeDom: a graphical web tool for analysing domain architecture evolution.

We present TreeDom, a web tool for graphically analysing the evolutionary history of domains in multi-domain proteins. Individual domains on the same protein chain may have distinct evolutionary histories, which is important to grasp in order to understand protein function. For instance, it may be important to know whether a domain was duplicated recently or long ago, to know the origin of inserted domains, or to know the pattern of domain loss within a protein family. TreeDom uses the Pfam database as the source of domain annotations, and displays these on a sequence tree. An advantage of TreeDom is that the user can limit the analysis to N sequences that are most similar to a query, or provide a list of sequence IDs to include. Using the Pfam alignment of the selected sequences, a tree is built and displayed together with the domain architecture of each sequence.Availablility and implementation: http://TreeDom.sbc.su.se Erik.Sonnhammer@scilifelab.se.

The organization of domains in proteins obeys Menzerath-Altmann's law of language.

BackgroundThe combination of domains in multidomain proteins enhances their function and structure but lengthens the molecules and increases their cost at cellular level.MethodsThe dependence of domain length on the number of domains a protein holds was surveyed for a set of 60 proteomes representing free-living organisms from all kingdoms of life. Distributions were fitted using non-linear functions and fitted parameters interpreted with a formulation of decreasing returns.ResultsWe find that domain length decreases with increasing number of domains in proteins, following the Menzerath-Altmann (MA) law of language. Highly significant negative correlations exist for the set of proteomes examined. Mathematically, the MA law expresses as a power law relationship that unfolds when molecular persistence P is a function of domain accretion. P holds two terms, one reflecting the matter-energy cost of adding domains and extending their length, the other reflecting how domain length and number impinges on information and biophysics. The pattern of diminishing returns can therefore be explained as a frustrated interplay between the strategies of economy, flexibility and robustness, matching previously observed trade-offs in the domain makeup of proteomes. Proteomes of Archaea, Fungi and to a lesser degree Plants show the largest push towards molecular economy, each at their own economic stratum. Fungi increase domain size in single domain proteins while reinforcing the pattern of diminishing returns. In contrast, Metazoa, and to lesser degrees Protista and Bacteria, relax economy. Metazoa achieves maximum flexibility and robustness by harboring compact molecules and complex domain organization, offering a new functional vocabulary for molecular biology.ConclusionsThe tendency of parts to decrease their size when systems enlarge is universal for language and music, and now for parts of macromolecules, extending the MA law to natural systems.

Selective amino acid segmental labeling of multi-domain proteins.

The steady technical advances of nuclear magnetic resonance (NMR) over the past decades enabled a significant increase in the molecular size of protein particles that can be subjected to a structural and functional characterization in solution. The larger molecular weight of such proteins is accompanied with an increase in NMR signals that complicate spectral interpretation due to signal overlap. The application of segmental isotope labeling to selected domains in multi-domain proteins can significantly facilitate spectral interpretation by reducing the number of observable signals. However, severe signal overlap may persist within individual domains that show low signal dispersion. To further reduce the number of signals and spectral complexity in such systems, we developed a procedure for selective amino acid-type labeling in individual domains of multi-domain proteins. This strategy combines efficient amino acid-type labeling amenable by cell-free protein expression with near-seamless domain ligation achievable by expressed protein ligation. By application of simple dual labeling schemes, this approach further allows residue-specific isotope labeling to position NMR-observable probes at desired sites within segments of multi-domain proteins. This chapter describes a detailed protocol for selective amino acid-type segmental labeling of multi-domain proteins and illustrates its application to a multi-domain RNA-binding protein. The applied ligation approach is further suitable for efficient ligation of unlabeled and/or uniformly labeled domains produced solely by recombinant in vivo expression.

Surprising Abundance of Misfolding during Refolding of Multidomain Proteins

The covalently linked domains constituting a multidomain protein typically share a similar fold and sequence, are generally stable in isolation, and are largely capable of independent folding. However, the elegant interplay of forces leading an amino acid sequence to its native state is more complex in proteins with multiple domains because of inter-domain interactions, which complicate the folding energy landscape.In previous experiments, employing immunoglobulin-like (Ig-like) domains of the human multidomain protein titin, we showed that tandem repeats of domains with high sequence identity can form a stable misfolded state upon refolding in physiological solution conditions. Conversely, tandem constructs of natural neighbouring domains, which display a low sequence identity, did not misfold. This supported the hypothesis that sequence identity between neighbouring domains in multidomain proteins is reduced as a result of evolutionary pressure to avoid misfolding.With a combination of single-molecule Forster resonance energy transfer, microfluidic mixing, stopped-flow kinetics and molecular dynamics simulations, we now demonstrate that Ig-like domains can transiently populate a surprisingly broad range of misfolded conformations on the sub-second timescale. Using tandem repeats of Ig-like domains, we can resolve both strand-swapped misfolds dominated by native-like interactions and, remarkably, a non-native-like, largely disordered type of misfolded state which so far was never observed experimentally, characterized by promiscuous interactions. Even more surprisingly, both types of misfolding are detected also for the naturally occurring tandem repeat, showing how finely the propensities of folding and misfolding have been balanced by co-evolution of adjacent domains to avoid stable misfolded states formation. On longer timescales, however, all or most of the protein molecules are able to reach the native state, demonstrating that the overall free energy surface is still sufficiently optimized for the protein to efficiently reach its correctly folded state.

AIDA: ab initio domain assembly server.

AIDA: ab initio domain assembly server, available at http://ffas.burnham.org/AIDA/ is a tool that can identify domains in multi-domain proteins and then predict their 3D structures and relative spatial arrangements. The server is free and open to all users, and there is an option for a user to provide an e-mail to get the link to result page. Domains are evolutionary conserved and often functionally independent units in proteins. Most proteins, especially eukaryotic ones, consist of multiple domains while at the same time, most experimentally determined protein structures contain only one or two domains. As a result, often structures of individual domains in multi-domain proteins can be accurately predicted, but the mutual arrangement of different domains remains unknown. To address this issue we have developed AIDA program, which combines steps of identifying individual domains, predicting (separately) their structures and assembling them into multiple domain complexes using an ab initio folding potential to describe domain–domain interactions. AIDA server not only supports the assembly of a large number of continuous domains, but also allows the assembly of domains inserted into other domains. Users can also provide distance restraints to guide the AIDA energy minimization.

Non-Canonical Modular Domain Interactions Dictate PKCα Function

The use of modular protein domains has emerged as a prominent feature of increasing phylogenetic complexity. Linking modular domains within a single protein allows complex regulation while conserving the sequence and structure of the individual domains. For instance, spatio-temporal control of signaling proteins is often achieved by stringing together a conserved catalytic domain with one or more regulatory modules. These modules can play multiple roles including masking the catalytic site to inhibit basal activity (auto-inhibition), releasing auto-inhibition through conformational changes triggered by second messenger stimuli, and facilitating translocation to subcellular compartments through binding secondary messengers or scaffolding proteins. Each additional module in a signaling protein provides a combinatorial enhancement to its regulation and cellular function. The protein-context independent structure and cellular function of individual modules have been extensively researched using biophysical approaches such as x-ray crystallography and NMR. Most modular domains have an evolutionarily conserved canonical function. However, coordination of interactions between these domains remains largely unexplored primarily due to the reliance on reductionist structural and biochemical approaches. As a corollary, our current structural understanding of modular signaling proteins does not adequately address the versatility of their cellular function. Using the uniquely persistent ER/K α-helix derived from the lever arm of myosin VI combined with genetically encoded fluorophores we have previously developed a methodology termed SPASM to both observe and modulate intra- molecular interactions between domains in multi-domain proteins. Using human protein kinase C α (PKCα) as a model multi-domain signaling protein, we have uncovered intra- and inter- molecular interactions involving each of its modular domains. These interactions contribute to context-dependent spatio-temporal regulation of PKC function in cells. Our findings highlight the importance of intra-molecular interactions in biologically critical multi-domain proteins.

Protein Folding In Vivo Revisited

Protein folding in vivo is extremely intricate and challenging to examine or predict because the conformational changes, including folding, misfolding, and aggregation, are largely influenced by the cellular environment. Traditionally, cellular protein folding has been considered predominantly in the context of the Anfinsen postulate and molecular chaperones. However, accumulating evidence reveals that these models have limitations. In this review we revisit these models, and discuss co-translational folding, binding partner-mediated folding, and RNA-mediated folding as alternative or supplementary folding helpers. In addition, we discuss the folding helper systems mediated by macromolecules (e.g., ribosomes, membranes, and prefolded domains in multidomain proteins) that are tightly linked to newly synthesized polypeptides during protein biogenesis. These cis-acting folding helper systems, conceptually different from the trans-acting molecular chaperones, could play a crucial role in protein folding in vivo. Importantly, there is increasing evidence that the surface charges and excluded volume of macromolecules are important factors for stabilizing their connected polypeptides against aggregation. This stabilizing mechanism suggests that macromolecules including RNAs and proteins, let alone molecular chaperones, have an intrinsic ability to exert chaperoning function on their connected polypeptides independent of the linkage type between them. As an effective way to overcome the adverse effect of macromolecular crowding on protein folding, here we suggest that nascent polypeptide chains utilize the crowded environment in favor of productive folding by interacting with macromolecules.

Understanding the role of domain–domain linkers in the spatial orientation of domains in multi-domain proteins

Inter-domain linkers (IDLs)’ bridge flanking domains and support inter-domain communication in multi-domain proteins. Their sequence and conformational preferences enable them to carry out varied functions. They also provide sufficient flexibility to facilitate domain motions and, in conjunction with the interacting interfaces, they also regulate the inter-domain geometry (IDG). In spite of the basic intuitive understanding of the inter-domain orientations with respect to linker conformations and interfaces, we still do not entirely understand the precise relationship among the three. We show that IDG is evolutionarily well conserved and is constrained by the domain–domain interface interactions. The IDLs modulate the interactions by varying their lengths, conformations and local structure, thereby affecting the overall IDG. Results of our analysis provide guidelines in modelling of multi-domain proteins from the tertiary structures of constituent domain components.

Macromolecule-Assisted de novo Protein Folding

In the processes of protein synthesis and folding, newly synthesized polypeptides are tightly connected to the macromolecules, such as ribosomes, lipid bilayers, or cotranslationally folded domains in multidomain proteins, representing a hallmark of de novo protein folding environments in vivo. Such linkage effects on the aggregation of endogenous polypeptides have been largely neglected, although all these macromolecules have been known to effectively and robustly solubilize their linked heterologous proteins in fusion or display technology. Thus, their roles in the aggregation of linked endogenous polypeptides need to be elucidated and incorporated into the mechanisms of de novo protein folding in vivo. In the classic hydrophobic interaction-based stabilizing mechanism underlying the molecular chaperone-assisted protein folding, it has been assumed that the macromolecules connected through a simple linkage without hydrophobic interactions and conformational changes would make no effect on the aggregation of their linked polypeptide chains. However, an increasing line of evidence indicates that the intrinsic properties of soluble macromolecules, especially their surface charges and excluded volume, could be important and universal factors for stabilizing their linked polypeptides against aggregation. Taken together, these macromolecules could act as folding helpers by keeping their linked nascent chains in a folding-competent state. The folding assistance provided by these macromolecules in the linkage context would give new insights into de novo protein folding inside the cell.

TRNA concentration fine tunes protein solubility

Clusters of codons pairing to low-abundance tRNAs synchronize the translation with co-translational folding of single domains in multidomain proteins. Although proven with some examples, the impact of the ribosomal speed on the folding and solubility on a global, cell-wide level remains elusive. Here we show that upregulation of three low-abundance tRNAs in Escherichia coli increased the aggregation propensity of several cellular proteins as a result of an accelerated elongation rate. Intriguingly, alterations in the concentration of the natural tRNA pool compromised the solubility of various chaperones consequently rendering the solubility of some chaperone-dependent proteins.

Influence of Genomic and Other Biological Data Sets in the Understanding of Protein Structures, Functions and Interactions

In the post-genomic era, biological databases are growing at a tremendous rate. Despite rapid accumulation of biological information, functions and other biological properties of many putative gene products of various organisms remain either unknown or obscure. This paper examines how strategic integration of large biological databases and combinations of various biological information helps address some of the fundamental questions on protein structure, function and interactions. New developments in function recognition by remote homology detection and strategic use of sequence databases aid recognition of functions of newly discovered proteins. Knowledge of 3-D structures and combined use of sequences and 3-D structures of homologous protein domains expands the ability of remote homology detection enormously. The authors also demonstrate how combined consideration of functions of individual domains of multi-domain proteins helps in recognizing gross biological attributes. This paper also discusses a few cases of combining disparate biological datasets or combination of disparate biological information in obtaining new insights about protein-protein interactions across a host and a pathogen. Finally, the authors discuss how combinations of low resolution structural data, obtained using cryoEM studies, of gigantic multi-component assemblies, and atomic level 3-D structures of the components is effective in inferring finer features in the assembly.

Observing selected domains in multi-domain proteins via sortase-mediated ligation and NMR spectroscopy

NMR spectroscopy has distinct advantages for providing insight into protein structures, but faces significant resolution challenges as protein size increases. To alleviate such resonance overlap issues, the ability to produce segmentally labeled proteins is beneficial. Here we show that the S. aureus transpeptidase sortase A can be used to catalyze the ligation of two separately expressed domains of the same protein, MecA (B. subtilis). The yield of purified, segmentally labeled MecA protein conjugate is approximately 40%. The resultant HSQC spectrum obtained from this domain-labeled conjugate demonstrates successful application of sortase A for segmental labeling of multi-domain proteins for solution NMR study.