On the Need to Develop Guidelines for Characterizing and Reporting Intrinsic Disorder in Proteins

Since the early 2000s, numerous computational tools have been created and used to predict intrinsic disorder in proteins. At present, the output from these algorithms is difficult to interpret in the absence of standards or references for comparison. There are many reasons to establish a set of standard‐based guidelines to evaluate computational protein disorder predictions. This viewpoint explores a handful of these reasons, including standardizing nomenclature to improve communication, rigor and reproducibility, and making it easier for newcomers to enter the field. An approach for reporting predicted disorder in single proteins with respect to whole proteomes is discussed. The suggestions are not intended to be formulaic; they should be viewed as a starting point to establish guidelines for interpreting and reporting computational protein disorder predictions.     

DISOselect: Disorder predictor selection at the protein level

The intense interest in the intrinsically disordered proteins in the life science community, together with the remarkable advancements in predictive technologies, have given rise to the development of a large number of computational predictors of intrinsic disorder from protein sequence. While the growing number of predictors is a positive trend, we have observed a considerable difference in predictive quality among predictors for individual proteins. Furthermore, variable predictor performance is often inconsistent between predictors for different proteins, and the predictor that shows the best predictive performance depends on the unique properties of each protein sequence. We propose a computational approach, DISOselect, to estimate the predictive performance of 12 selected predictors for individual proteins based on their unique sequence‐derived properties. This estimation informs the users about the expected predictive quality for a selected disorder predictor and can be used to recommend methods that are likely to provide the best quality predictions. Our solution does not depend on the results of any disorder predictor; the estimations are made based solely on the protein sequence. Our solution significantly improves predictive performance, as judged with a test set of 1,000 proteins, when compared to other alternatives. We have empirically shown that by using the recommended methods the overall predictive performance for a given set of proteins can be improved by a statistically significant margin. DISOselect is freely available for non‐commercial users through the webserver at http://biomine.cs.vcu.edu/servers/DISOselect/ .     

针对DNA长片段靶标的锌指筛选体系

锌指蛋白能够特异性识别目标DNA序列,常被作为分子靶向因子用于定点核酸编辑以及定点转录调控等方面,具有十分广泛的应用前景.然而,目前常规采用的实验方法得到的锌指蛋白通常结合的目标DNA序列较短,结合能力不强,因而一直难以高效运用在核酸序列与调控蛋白在基因组上的原位互作等方面的研究中.为了解决这个问题,本研究构建了一个高通量筛选系统,利用N4噬菌体gp8毒蛋白和LacZ作为报告基因,以300 bp以上的DNA长片段为靶标,来筛选能够结合多位点的锌指蛋白组合,提高锌指蛋白应用的精确度以及效率.该系统针对小鼠Nrxn-1?启动子区域进行了锌指蛋白文库筛选,得到了具有序列选择特异性的混合锌指蛋白库,并对筛选结果进行了初步功能验证.研究表明,本系统具有简便快捷的特点,不仅大幅度缩短了筛选时间,而且减少了因靶标序列DNA片段较长而不得不反复设计多位点结合锌指蛋白造成的成本浪费;筛选得到的锌指蛋白库具有较高的长片段DNA靶标结合能力和一定的序列特异性,并且能够在真核细胞内特异地结合目标DNA序列.因此,本研究建立的新型锌指筛选系统不仅可以广泛应用于高通量筛选,而且在DNA-蛋白相互作用的研究中也具有重要意义.     

Structural segments and residue propensities in protein-RNA interfaces: comparison with protein-protein and protein-DNA complexes

The interface of a protein molecule that is involved in binding another protein, DNA or RNA has been characterized in terms of the number of unique secondary structural segments (SSSs), made up of stretches of helix, strand and non-regular (NR) regions. On average 10-11 segments define the protein interface in protein-protein (PP) and protein-DNA (PD) complexes, while the number is higher (14) for protein-RNA (PR) complexes. While the length of helical segments in PP interaction increases with the interface area, this is not the case in PD and PR complexes. The propensities of residues to occur in the three types of secondary structural elements (SSEs) in the interface relative to the corresponding elements in the protein tertiary structures have been calculated. Arg, Lys, Asn, Tyr, His and Gln are preferred residues in PR complexes; in addition, Ser and Thr are also favoured in PD interfaces.     

The Human RNA-Binding Proteome and Its Dynamics during Translational Arrest

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Comprehensive Genomic Characterization of RNA-Binding Proteins across Human Cancers

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Intrinsic Disorder of the Neuronal SNARE Protein SNAP25a in its Pre-fusion Conformation

The neuronal SNARE protein SNAP25a (isoform 2) forms part of the SNARE complex eliciting synaptic vesicle fusion during neuronal exocytosis. While the post-fusion cis-SNARE complex has been studied extensively, little is known about the pre-fusion conformation of SNAP25a. Here we analyze monomeric SNAP25a by NMR spectroscopy, further supported by small-angle X-ray scattering (SAXS) experiments. SAXS data indicate that monomeric SNAP25 is more compact than a Gaussian chain but still a random coil. NMR shows that for monomeric SNAP25a, before SNAP25a interacts with its SNARE partners to drive membrane fusion, only the N-terminal part (region A5 to V36) of the first SNARE motif, SN1 (L11 - L81), is helical, comprising two α-helices (ranging from A5 to Q20 and S25 toV36). From E37 onwards, SNAP25a is mostly disordered and displays high internal flexibility, including the C-terminal part of SN1, almost the entire second SNARE motif (SN2, N144-A199), and the connecting loop region. Apart from the N-terminal helices, only the C-termini of both SN1 (E73 - K79) and SN2 (region T190 - A199), as well as two short regions in the connecting loop (D99 - K102 and E123 - M127) show a weak α-helical propensity (α-helical population < 25%). We speculate that the N-terminal helices (A5 to Q20 and S25 to V36) which constitute the N-terminus of SN1 act as a nucleation site for initiating SNARE zippering.     

Receptor-Mediated Activation of G Proteins Is Increased in Postmortem Brains of Bipolar Affective Disorder Subjects

Abstract: Guanine nucleotide binding proteins (G proteins) have been implicated in the pathophysiology of bipolar affective disorder. In the present investigation receptor-mediated G protein activation and changes in G protein trimeric state were examined in frontal cortical membranes obtained from postmortem brains of bipolar affective disorder subjects and from age-, sex-, and postmortem interval-matched controls. Stimulation of cortical membranes with serotonin, isoproterenol, or carbachol increased guanosine 5′-O-(3-[³⁵S]thiophosphate) ([³⁵S]GTPγS) binding to specific G_α proteins in a receptor-selective manner. The abilities of these receptor agonists to stimulate the binding of [³⁵S]GTPγS to the G_α proteins was enhanced in membranes from bipolar brains. Immunoblot analyses showed increases in the levels of membrane 45- and 52-kDa G_αs proteins but no changes in the amounts of G_αi, G_αo, G_αz, G_αq/11, or G_β proteins in membrane or cytosol fractions of bipolar brain homogenates. Pertussis toxin (PTX)-activated ADP-ribosylations of G_αi and G_αo were enhanced by ～80% in membranes from bipolar compared with control brains, suggesting an increase in the levels of the trimeric state of these G proteins in bipolar disorder. Serotonin-induced, magnesium-dependent reduction in PTX-mediated ADP-ribosylation of G_αi/G_αo in cortical membranes from bipolar brains was greater than that observed in controls, providing further evidence for enhanced receptor-G protein coupling in bipolar brain membranes. In addition, the amounts of G_β proteins that coimmunoprecipitated with the G_α proteins were also elevated in bipolar brains. The data show that in bipolar brain membrane there is enhanced receptor-G protein coupling and an increase in the trimeric state of the G proteins. These changes may contribute to produce exaggerated transmembrane signaling and to the alterations in affect that characterize bipolar affective disorder.     

Intrinsic Disorder in the Protein Data Bank

Abstract

The Protein Data Bank (PDB) is the preeminent source of protein structural information. PDB contains over 32,500 experimentally determined 3-D structures solved using X-ray crystallography or nuclear magnetic resonance spectroscopy. Intrinsically disordered regions fail to form a fixed 3-D structure under physiological conditions. In this study, we compare the amino-acid sequences of proteins whose structures are determined by X-ray crystallography with the corresponding sequences from the Swiss-Prot database. The analyzed dataset includes 16,370 structures, which represent 18,101 PDB chains and 5,434 different proteins from 910 different organisms (2,793 eukaryotic, 2,109 bacterial, 288 viral, and 244 archaeal). In this dataset, on average, each Swiss-Prot protein is represented by 7 PDB chains with 76% of the crystallized regions being represented by more than one structure. Intriguingly, the complete sequences of only ~7% of proteins are observed in the corresponding PDB structures, and only ~25% of the total dataset have >95% of their lengths observed in the corresponding PDB structures. This suggests that the vast majority of PDB proteins is shorter than their corresponding Swiss-Prot sequences and/or contain numerous residues, which are not observed in maps of electron density. To determine the prevalence of disordered regions in PDB, the residues in the Swiss-Prot sequences were grouped into four general categories, “Observed” (which correspond to structured regions), “Not observed” (regions with missing electron density, potentially disordered), “Uncharacterized,” and “Ambiguous,” depending on their appearance in the corresponding PDB entries. This non-redundant set of residues can be viewed as a ‘fragment’ or empirical domain database that contains a set of experimentally determined structured regions or domains and a set of experimentally verified disordered regions or domains. We studied the propensities and properties of residues in these four categories and analyzed their relations to the predictions of disorder using several algorithms. “Non-observed,” “Ambiguous,” and “Uncharacterized” regions were shown to possess the amino acid compositional biases typical of intrinsically disordered proteins. The application of four different disorder predictors (PONDR® VL-XT, VL3-BA, VSL1P, and IUPred) revealed that the vast majority of residues in the “Observed” dataset are ordered, and that the “Not observed” regions are mostly disordered. The “Uncharacterized” regions possess some tendency toward order, whereas the predictions for the short “Ambiguous” regions are really ambiguous. Long “Ambiguous” regions (>70 amino acid residues) are mostly predicted to be ordered, suggesting that they are likely to be “wobbly” domains.

Overall, we showed that completely ordered proteins are not highly abundant in PDB and many PDB sequences have disordered regions. In fact, in the analyzed dataset ~10% of the PDB proteins contain regions of consecutive missing or ambiguous residues longer than 30 amino-acids and ~40% of the proteins possess short regions (≥10 and <30 amino-acid long) of missing and ambiguous residues.     

AlphaFold and Implications for Intrinsically Disordered Proteins

Accurate predictions of the three-dimensional structures of proteins from their amino acid sequences have come of age. AlphaFold, a deep learning-based approach to protein structure prediction, shows remarkable success in independent assessments of prediction accuracy. A significant epoch in structural bioinformatics was the structural annotation of over 98% of protein sequences in the human proteome. Interestingly, many predictions feature regions of very low confidence, and these regions largely overlap with intrinsically disordered regions (IDRs). That over 30% of regions within the proteome are disordered is congruent with estimates that have been made over the past two decades, as intense efforts have been undertaken to generalize the structure–function paradigm to include the importance of conformational heterogeneity and dynamics. With structural annotations from AlphaFold in hand, there is the temptation to draw inferences regarding the “structures” of IDRs and their interactomes. Here, we offer a cautionary note regarding the misinterpretations that might ensue and highlight efforts that provide concrete understanding of sequence-ensemble-function relationships of IDRs. This perspective is intended to emphasize the importance of IDRs in sequence-function relationships (SERs) and to highlight how one might go about extracting quantitative SERs to make sense of how IDRs function.     

Intrinsic disorder in protein sense‐antisense recognition

In addition to the well‐established sense‐antisense complementarity abundantly present in the nucleic acid world and serving as a basic principle of the specific double‐helical structure of DNA, production of mRNA, and genetic code‐based biosynthesis of proteins, sense‐antisense complementarity is also present in proteins, where sense and antisense peptides were shown to interact with each other with increased probability. In nucleic acids, sense‐antisense complementarity is achieved via the Watson‐Crick complementarity of the base pairs or nucleotide pairing. In proteins, the complementarity between sense and antisense peptides depends on a specific hydropathic pattern, where codons for hydrophilic and hydrophobic amino acids in a sense peptide are complemented by the codons for hydrophobic and hydrophilic amino acids in its antisense counterpart. We are showing here that in addition to this pattern of the complementary hydrophobicity, sense and antisense peptides are characterized by the complementary order‐disorder patterns and show complementarity in sequence distribution of their disorder‐based interaction sites. We also discuss how this order‐disorder complementarity can be related to protein evolution.     

RNA-Binding Properties of the Proteins of Beet Yellows Closterovirus

Recombinant full-sized proteins p64, p65, p24, p22, p21 and pcp, hel, mtr, and pol fragments of the replicative polyprotein of beet yellows closterovirus were purified and tested for RNA binding. North-Western blotting revealed the RNA-binding activity for p64 and hel (a 21-kDa fragment of the helicase domain with conserved motifs V and VI). Gel retardation assay confirmed hel binding with a randomized RNA probe in vitro, and a cooperative RNA–hel interaction was assumed on evidence of the binding pattern. The RNA–hel complexes proved to be stable at a high ionic strength.     

Abundance and functional roles of intrinsic disorder in the antimicrobial peptides of the NK-lysin family

NK-lysins are antimicrobial peptides (AMPs) that participate in the innate immune response and also have several pivotal roles in various biological processes. Such multifunctionality is commonly found among intrinsically disordered proteins. However, NK-lysins have never been systematically analyzed for intrinsic disorder. To fill this gap, the amino acid sequences of NK-lysins from various species were collected from UniProt and used for the comprehensive computational analysis to evaluate the propensity of these proteins for intrinsic disorder and to investigate the potential roles of disordered regions in NK-lysin functions. We analyzed abundance and peculiarities of intrinsic disorder distribution in all-known NK-lysins and showed that many NK-lysins are expected to have substantial levels of intrinsic disorder. Curiously, high level of intrinsic disorder was also found even in two proteins with known 3D-strucutres (NK-lysin from pig and human granulysin). Many of the identified disordered regions can be involved in protein–protein interactions. In fact, NK-lysins are shown to contain three to eight molecular recognition features; i.e. short structure-prone segments which are located within the long disordered regions and have a potential to undergo a disorder-to-order transition upon binding to a partner. Furthermore, these disordered regions are expected to have several sites of various posttranslational modifications. Our study shows that NK-lysins, which are AMPs with a set of prominent roles in the innate immune response, are expected to abundantly possess intrinsically disordered regions that might be related to multifunctionality of these proteins in the signal transduction pathways controlling the host response to pathogenic agents.     

The Roles of Intrinsic Disorder in Orchestrating the Wnt-Pathway

Abstract

The canonical Wnt-pathway plays a number of crucial roles in the development of organism. Malfunctions of this pathway lead to various diseases including cancer. In the inactivated state, this pathway involves five proteins, Axin, CKI-α, GSK-3β, APC, and β-catenin. We analyzed these proteins by a number of computational tools, such as PONDR®VLXT, PONDR®VSL2, MoRF-II predictor and Hydrophobic Cluster Analysis (HCA) to show that each of the Wnt-pathway proteins contains several intrinsically disordered regions. Based on a comprehensive analysis of published data we conclude that these disordered regions facilitate protein-protein interactions, post-translational modifications, and signaling. The scaffold protein Axin and another large protein, APC, act as flexible concentrators in gathering together all other proteins involved in the Wnt-pathway, emphasizing the role of intrinsically disordered regions in orchestrating the complex protein-protein interactions. We further explore the intricate roles of highly disordered APC in regulation of β-catenin function. Intrinsically disordered APC helps the collection of β-catenin from cytoplasm, facilitates the β-catenin delivery to the binding sites on Axin, and controls the final detachment of β-catenin from Axin.     

固有无序蛋白质及逆境胁迫下的分子功能

固有无序蛋白质是一类在生理条件下缺乏稳定三维结构而具有正常功能,参与信号转导、转录调控、胁迫应答等多种生物学过程的蛋白质.植物中许多逆境响应蛋白是固有无序蛋白质,通过其结构无序或部分无序区域在蛋白质 蛋白质、蛋白质 膜脂、蛋白质 核酸的互作中发挥重要作用.本文主要对固有无序蛋白质的类别、氨基酸组成和结构特点以及在逆境胁迫下其稳定细胞膜、保护核酸和蛋白质、调控基因表达等分子功能进行综述,以拓展对逆境胁迫下蛋白质作用分子机制的认识.