首页期刊导航|Protein science :
期刊信息/Journal information
Protein science :
Cambridge University Press,
Protein science :

Cambridge University Press,

0961-8368

Protein science :/Journal Protein science :
正式出版
收录年代

    Crystal structure of SARS‐CoV‐2 nsp10–nsp16 in complex with small molecule inhibitors, SS148 and WZ16

    Martin KlimaAliakbar Khalili YazdiFengling LiIrene Chau...
    9页
    查看更多>>摘要:Abstract SARS‐CoV‐2 nsp10–nsp16 complex is a 2′‐O‐methyltransferase (MTase) involved in viral RNA capping, enabling the virus to evade the immune system in humans. It has been considered a valuable target in the discovery of antiviral therapeutics, as the RNA cap formation is crucial for viral propagation. Through cross‐screening of the inhibitors that we previously reported for SARS‐CoV‐2 nsp14 MTase activity against nsp10–nsp16 complex, we identified two compounds (SS148 and WZ16) that also inhibited nsp16 MTase activity. To further enable the chemical optimization of these two compounds towards more potent and selective dual nsp14/nsp16 MTase inhibitors, we determined the crystal structure of nsp10–nsp16 in complex with each of SS148 and WZ16. As expected, the structures revealed the binding of both compounds to S‐adenosyl‐L‐methionine (SAM) binding pocket of nsp16. However, our structural data along with the biochemical mechanism of action determination revealed an RNA‐dependent SAM‐competitive pattern of inhibition for WZ16, clearly suggesting that binding of the RNA first may help the binding of some SAM competitive inhibitors. Both compounds also showed some degree of selectivity against human protein MTases, an indication of great potential for chemical optimization towards more potent and selective inhibitors of coronavirus MTases.

    Compendium of proteins containing segments that exhibit zero‐tolerance to amino acid variation in humans

    Charles R. SandersAdam L. SandersJake N. HermansonDavid C. Samuels...
    35页
    查看更多>>摘要:Abstract Genetic missense tolerance ratio (MTR) analysis systematically evaluates all possible segments in a given protein‐encoding transcript found in the human population. This method scores each segment for the number of observed missense variants versus the number of silent mutations in that same segment. An MTR score of 0 indicates that no missense mutations are observed within a given segment. This is indicative of evolutionary purifying selection, which excludes mutations in that segment from the general human population. Here, we conducted MTR analysis on each of the roughly 20,000 protein‐encoding human genes. It was seen that there are 257 genes with at least one 31‐residue encoding segment with MTR?=?0 (1.3% of all human genes). The proteins encoded by these 257 genes were tabulated along with information regarding the sequence location of each intolerant segment, the likely function of the protein, and so forth. The most functionally‐enriched family among these proteins is a collection of several dozen proteins that are directly involved in RNA splicing. Some of the other proteins with zero‐tolerance segments have thus far escaped significant characterization. Indeed, while a number of these proteins have previously been genetically linked to human disorders, many have not. We hypothesize that this compendium of human proteins with zero‐tolerance segments can be used to complement disease mutation data as a pointer to genes and proteins that are associated with interesting and underexplored human biology.

    The gateway to guanine nucleotides: Allosteric regulation of IMP dehydrogenases

    Rubén M. BueyDavid Fernández‐JustelAlberto JiménezJosé L. Revuelta...
    16页
    查看更多>>摘要:Abstract Inosine 5′‐monophosphate dehydrogenase (IMPDH) is an evolutionarily conserved enzyme that mediates the first committed step in de novo guanine nucleotide biosynthetic pathway. It is an essential enzyme in purine nucleotide biosynthesis that modulates the metabolic flux at the branch point between adenine and guanine nucleotides. IMPDH plays key roles in cell homeostasis, proliferation, and the immune response, and is the cellular target of several drugs that are widely used for antiviral and immunosuppressive chemotherapy. IMPDH enzyme is tightly regulated at multiple levels, from transcriptional control to allosteric modulation, enzyme filamentation, and posttranslational modifications. Herein, we review recent developments in our understanding of the mechanisms of IMPDH regulation, including all layers of allosteric control that fine‐tune the enzyme activity.

    Randomized gates eliminate bias in sort‐seq assays

    Brian L. TrippeBuwei HuangErika A. DeBenedictisBrian Coventry...
    8页
    查看更多>>摘要:Abstract Sort‐seq assays are a staple of the biological engineering toolkit, allowing researchers to profile many groups of cells based on any characteristic that can be tied to fluorescence. However, current approaches, which segregate cells into bins deterministically based on their measured fluorescence, introduce systematic bias. We describe a surprising result: one can obtain unbiased estimates by incorporating randomness into sorting. We validate this approach in simulation and experimentally, and describe extensions for both estimating group level variances and for using multi‐bin sorters.

    Phenotypic mutations contribute to protein diversity and shape protein evolution

    Maria Luisa Romero RomeroCedric LandererJonas PoehlsAgnes Toth‐Petroczy...
    17页
    查看更多>>摘要:Abstract Errors in DNA replication generate genetic mutations, while errors in transcription and translation lead to phenotypic mutations. Phenotypic mutations are orders of magnitude more frequent than genetic ones, yet they are less understood. Here, we review the types of phenotypic mutations, their quantifications, and their role in protein evolution and disease. The diversity generated by phenotypic mutation can facilitate adaptive evolution. Indeed, phenotypic mutations, such as ribosomal frameshift and stop codon readthrough, sometimes serve to regulate protein expression and function. Phenotypic mutations have often been linked to fitness decrease and diseases. Thus, understanding the protein heterogeneity and phenotypic diversity caused by phenotypic mutations will advance our understanding of protein evolution and have implications on human health and diseases.

    A structural database of chain–chain and domain–domain interfaces of proteins

    Neeladri SenMallur S. Madhusudhan
    15页
    查看更多>>摘要:Abstract In this study, we mined the PDB and created a structural library of 178,465 interfaces that mediate protein–protein/domain–domain interactions. Interfaces involving the same CATH fold(s) were clustered together. Our analysis of the library reveals similarities between chain–chain and domain–domain interactions. The library also illustrates how a single protein fold can interact with multiple folds using similar interfaces. The library is hence a useful resource to study the types of interactions between protein folds. Analyzing the data in the library reveals various interesting aspects of protein–protein and domain–domain interactions such as how proteins belonging to folds that interact with many other folds also have high number of Enzyme Commission terms. These data could be utilized to seek potential binding partners. It can also be utilized to investigate the different ways in which two or more folds interact with one another structurally. We constructed a statistical potential of pair preferences of amino acids across the interface for chain–chain and domain–domain interactions separately. They are quite similar further lending credence to the notion that domain–domain interfaces could be used to study chain–chain interactions. We analyzed protein complexes modeled by AlphaFold2 and RoseTTAFold and noticed that some of the modes of interaction involve folds and interfaces that have not been observed to bind in the PDB. Lastly and importantly, the library includes predicted small molecule‐binding sites at protein–protein interfaces. This has applications as interfaces containing small molecule‐binding sites can be easily targeted to prevent the interaction and perhaps form a part of a therapeutic strategy.

    Depicting the proton relay network in human aromatase: New insights into the role of the alcohol‐acid pair

    Gianfranco GilardiGiovanna Di NardoChao Zhang
    13页
    查看更多>>摘要:Abstract Human aromatase is the cytochrome P450 catalyzing the conversion of androgens into estrogens in a three steps reaction essential to maintain steroid hormones balance. Here we report the capture and spectroscopic characterization of its compound I (Cpd I), the main reactive species in cytochromes P450. The typical spectroscopic transitions indicating the formation of Cpd I are detected within 0.8?s when mixing aromatase with meta‐chloroperoxybenzoic acid. The estrogen product is obtained from the same reaction mixture, demonstrating the involvement of Cpd I in aromatization reaction. Site‐directed mutagenesis is applied to the acid‐alcohol pair D309 and T310 and to R192, predicted to be part of the proton relay network. Mutants D309N and R192Q do not lead to Cpd I with an associated loss of activity, confirming that these residues are involved in proton delivery for Cpd I generation. Cpd I is captured for T310A mutant and shows 2.9‐ and 4.4‐fold faster rates of formation and decay, respectively, compared to wild‐type (WT). However, its activity is lower than the WT and a larger amount of H2O2 is produced during catalysis, indicating that T310 has an essential role in proton gating for generation of Cpd 0 and Cpd I and for their stabilization. The data provide new evidences on the role of threonine belonging to the conserved “acid‐alcohol” pair and known to be crucial for oxygen activation in cytochromes P450.

    A pair of isoleucyl‐tRNA synthetases in Bacilli fulfills complementary roles to keep fast translation and provide antibiotic resistance

    Bartol BozicMarko MocibobNenad BanIta Gruic‐Sovulj...
    11页
    查看更多>>摘要:Abstract Isoleucyl‐tRNA synthetase (IleRS) is an essential enzyme that covalently couples isoleucine to the corresponding tRNA. Bacterial IleRSs group in two clades, ileS1 and ileS2, the latter bringing resistance to the natural antibiotic mupirocin. Generally, bacteria rely on either ileS1 or ileS2 as a standalone housekeeping gene. However, we have found an exception by noticing that Bacillus species with genomic ileS2 consistently also keep ileS1, which appears mandatory in the family Bacillaceae. Taking Priestia (Bacillus) megaterium as a model organism, we showed that PmIleRS1 is constitutively expressed, while PmIleRS2 is stress‐induced. Both enzymes share the same level of the aminoacylation accuracy. Yet, PmIleRS1 exhibited a two‐fold faster aminoacylation turnover (kcat) than PmIleRS2 and permitted a notably faster cell‐free translation. At the same time, PmIleRS2 displayed a 104‐fold increase in its Ki for mupirocin, arguing that the aminoacylation turnover in IleRS2 could have been traded‐off for antibiotic resistance. As expected, a P. megaterium strain deleted for ileS2 was mupirocin‐sensitive. Interestingly, an attempt to construct a mupirocin‐resistant strain lacking ileS1, a solution not found among species of the family Bacillaceae in nature, led to a viable but compromised strain. Our data suggest that PmIleRS1 is kept to promote fast translation, whereas PmIleRS2 is maintained to provide antibiotic resistance when needed. This is consistent with an emerging picture in which fast‐growing organisms predominantly use IleRS1 for competitive survival.

    Of problems and opportunities—How to treat and how to not treat crystallographic fragment screening data

    Manfred S. WeissJan WollenhauptGalen J. CorreyJames S. Fraser...
    5页
    查看更多>>摘要:Abstract In their recent commentary in Protein Science, Jaskolski et al. analyzed three randomly picked diffraction data sets from fragment‐screening group depositions from the PDB and, based on that, they claimed that such data are principally problematic. We demonstrate here that if such data are treated properly, none of the proclaimed criticisms persist.

    Similar protein segments shared between domains of different evolutionary lineages

    Kaiyu QiuNir Ben‐TalRachel Kolodny
    10页
    查看更多>>摘要:Abstract The emergence of novel proteins, beyond these that can be readily made by duplication and recombination of preexisting domains, is elusive. De novo emergence from random sequences is unlikely because the vast majority of random chains would not even fold, let alone function. An alternative explanation is that novel proteins emerge by duplication and fusion of pre‐existing polypeptide segments. In this case, traces of such ancient events may remain within contemporary proteins in the form of reused segments. Together with the late Dan Tawfik, we detected such similar segments, far shorter than intact protein domains, which are found in different environments. The detection of these, “bridging themes,” was based on a unique search strategy, where in addition to searching for similarity of shared fragments, so‐called “themes,” we also explicitly searched for cases in which the sequence segments before and after the theme are dissimilar (both in sequence and structure). Here, using a similar strategy, we further expanded the search and discovered almost 500 additional “bridging themes,” linking domains that are often from ancient folds. The themes, of 20 residues or more (average 53), do not retain their structure despite sharing 37% sequence identity on average. Indeed, conformation flexibility may confer an evolutionary advantage, in that it fits in multiple environments. We elaborate on two interesting themes, shared between Rossmann/Trefoil‐Plexin‐like domains and a β‐propeller‐like domain. For a Broad Audience A fundamental question in molecular evolution is how protein domains emerged. Similar segments shared between domains of seemingly distinct origins, may offer clues, as these may be remnants of the evolutionary process through which these domains emerged. However, finding such cases is difficult. Here, we expand the set of such cases which we curated previously, adding segments shared between domains that are considered ancient.