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Alexander LT, Durairaj J, Kryshtafovych A, Abriata LA, Bayo Y, Bhabha G, Breyton C, Caulton SG, Chen J, Degroux S, Ekiert DC, Erlandsen BS, Freddolino PL, Gilzer D, Greening C, Grimes JM, Grinter R, Gurusaran M, Hartmann MD, Hitchman CJ, Keown JR, Kropp A, Kursula P, Lovering AL, Lemaitre B, Lia A, Liu S, Logotheti M, Lu S, Markússon S, Miller MD, Minasov G, Niemann HH, Opazo F, Phillips GN, Davies OR, Rommelaere S, Rosas‐Lemus M, Roversi P, Satchell K, Smith N, Wilson MA, Wu K, Xia X, Xiao H, Zhang W, Zhou ZH, Fidelis K, Topf M, Moult J, Schwede T. Protein target highlights in CASP15: Analysis of models by structure providers. Proteins 2023; 91:1571-1599. [PMID: 37493353 PMCID: PMC10792529 DOI: 10.1002/prot.26545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 06/15/2023] [Indexed: 07/27/2023]
Abstract
We present an in-depth analysis of selected CASP15 targets, focusing on their biological and functional significance. The authors of the structures identify and discuss key protein features and evaluate how effectively these aspects were captured in the submitted predictions. While the overall ability to predict three-dimensional protein structures continues to impress, reproducing uncommon features not previously observed in experimental structures is still a challenge. Furthermore, instances with conformational flexibility and large multimeric complexes highlight the need for novel scoring strategies to better emphasize biologically relevant structural regions. Looking ahead, closer integration of computational and experimental techniques will play a key role in determining the next challenges to be unraveled in the field of structural molecular biology.
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Affiliation(s)
- Leila T. Alexander
- BiozentrumUniversity of BaselBaselSwitzerland
- Computational Structural BiologySIB Swiss Institute of BioinformaticsBaselSwitzerland
| | - Janani Durairaj
- BiozentrumUniversity of BaselBaselSwitzerland
- Computational Structural BiologySIB Swiss Institute of BioinformaticsBaselSwitzerland
| | | | - Luciano A. Abriata
- School of Life SciencesÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Yusupha Bayo
- Department of BiosciencesUniversity of MilanoMilanItaly
- IBBA‐CNR Unit of MilanoInstitute of Agricultural Biology and BiotechnologyMilanItaly
| | - Gira Bhabha
- Department of Cell BiologyNew York University School of MedicineNew YorkNew YorkUSA
| | | | | | - James Chen
- Department of Cell BiologyNew York University School of MedicineNew YorkNew YorkUSA
| | | | - Damian C. Ekiert
- Department of Cell BiologyNew York University School of MedicineNew YorkNew YorkUSA
- Department of MicrobiologyNew York University School of MedicineNew YorkNew YorkUSA
| | - Benedikte S. Erlandsen
- Wellcome Centre for Cell BiologyInstitute of Cell Biology, University of EdinburghEdinburghUK
| | - Peter L. Freddolino
- Department of Biological Chemistry, Computational Medicine and BioinformaticsUniversity of MichiganAnn ArborMichiganUSA
| | - Dominic Gilzer
- Department of ChemistryBielefeld UniversityBielefeldGermany
| | - Chris Greening
- Department of Microbiology, Biomedicine Discovery InstituteMonash UniversityClaytonVictoriaAustralia
- Securing Antarctica's Environmental FutureMonash UniversityClaytonVictoriaAustralia
- Centre to Impact AMRMonash UniversityClaytonVictoriaAustralia
- ARC Research Hub for Carbon Utilisation and RecyclingMonash UniversityClaytonVictoriaAustralia
| | - Jonathan M. Grimes
- Division of Structural Biology, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Rhys Grinter
- Department of Microbiology, Biomedicine Discovery InstituteMonash UniversityClaytonVictoriaAustralia
- Centre for Electron Microscopy of Membrane ProteinsMonash Institute of Pharmaceutical SciencesParkvilleVictoriaAustralia
| | - Manickam Gurusaran
- Wellcome Centre for Cell BiologyInstitute of Cell Biology, University of EdinburghEdinburghUK
| | - Marcus D. Hartmann
- Max Planck Institute for BiologyTübingenGermany
- Interfaculty Institute of Biochemistry, University of TübingenTübingenGermany
| | - Charlie J. Hitchman
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical BiologyUniversity of LeicesterLeicesterUK
| | - Jeremy R. Keown
- Division of Structural Biology, Wellcome Centre for Human GeneticsUniversity of OxfordOxfordUK
| | - Ashleigh Kropp
- Department of Microbiology, Biomedicine Discovery InstituteMonash UniversityClaytonVictoriaAustralia
| | - Petri Kursula
- Department of BiomedicineUniversity of BergenBergenNorway
- Faculty of Biochemistry and Molecular Medicine & Biocenter OuluUniversity of OuluOuluFinland
| | | | - Bruno Lemaitre
- School of Life SciencesÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Andrea Lia
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical BiologyUniversity of LeicesterLeicesterUK
- ISPA‐CNR Unit of LecceInstitute of Sciences of Food ProductionLecceItaly
| | - Shiheng Liu
- Department of Microbiology, Immunology, and Molecular GeneticsUniversity of CaliforniaLos AngelesCaliforniaUSA
- California NanoSystems InstituteUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Maria Logotheti
- Max Planck Institute for BiologyTübingenGermany
- Interfaculty Institute of Biochemistry, University of TübingenTübingenGermany
- Present address:
Institute of BiochemistryUniversity of GreifswaldGreifswaldGermany
| | - Shuze Lu
- Lanzhou University School of Life SciencesLanzhouChina
| | | | | | - George Minasov
- Department of Microbiology‐ImmunologyNorthwestern Feinberg School of MedicineChicagoIllinoisUSA
| | | | - Felipe Opazo
- NanoTag Biotechnologies GmbHGöttingenGermany
- Institute of Neuro‐ and Sensory PhysiologyUniversity of Göttingen Medical CenterGöttingenGermany
- Center for Biostructural Imaging of Neurodegeneration (BIN)University of Göttingen Medical CenterGöttingenGermany
| | - George N. Phillips
- Department of BiosciencesRice UniversityHoustonTexasUSA
- Department of ChemistryRice UniversityHoustonTexasUSA
| | - Owen R. Davies
- Wellcome Centre for Cell BiologyInstitute of Cell Biology, University of EdinburghEdinburghUK
| | - Samuel Rommelaere
- School of Life SciencesÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Monica Rosas‐Lemus
- Department of Microbiology‐ImmunologyNorthwestern Feinberg School of MedicineChicagoIllinoisUSA
- Present address:
Department of Molecular Genetics and MicrobiologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Pietro Roversi
- IBBA‐CNR Unit of MilanoInstitute of Agricultural Biology and BiotechnologyMilanItaly
- Department of Molecular and Cell Biology, Leicester Institute of Structural and Chemical BiologyUniversity of LeicesterLeicesterUK
| | - Karla Satchell
- Department of Microbiology‐ImmunologyNorthwestern Feinberg School of MedicineChicagoIllinoisUSA
| | - Nathan Smith
- Department of Biochemistry and the Redox Biology CenterUniversity of NebraskaLincolnNebraskaUSA
| | - Mark A. Wilson
- Department of Biochemistry and the Redox Biology CenterUniversity of NebraskaLincolnNebraskaUSA
| | - Kuan‐Lin Wu
- Department of ChemistryRice UniversityHoustonTexasUSA
| | - Xian Xia
- Department of Microbiology, Immunology, and Molecular GeneticsUniversity of CaliforniaLos AngelesCaliforniaUSA
- California NanoSystems InstituteUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Han Xiao
- Department of BiosciencesRice UniversityHoustonTexasUSA
- Department of ChemistryRice UniversityHoustonTexasUSA
- Department of BioengineeringRice UniversityHoustonTexasUSA
| | - Wenhua Zhang
- Lanzhou University School of Life SciencesLanzhouChina
| | - Z. Hong Zhou
- Department of Microbiology, Immunology, and Molecular GeneticsUniversity of CaliforniaLos AngelesCaliforniaUSA
- California NanoSystems InstituteUniversity of CaliforniaLos AngelesCaliforniaUSA
| | | | - Maya Topf
- University Medical Center Hamburg‐Eppendorf (UKE)HamburgGermany
- Centre for Structural Systems BiologyLeibniz‐Institut für Virologie (LIV)HamburgGermany
| | - John Moult
- Department of Cell Biology and Molecular Genetics, Institute for Bioscience and Biotechnology ResearchUniversity of MarylandRockvilleMarylandUSA
| | - Torsten Schwede
- BiozentrumUniversity of BaselBaselSwitzerland
- Computational Structural BiologySIB Swiss Institute of BioinformaticsBaselSwitzerland
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2
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Kretsch RC, Andersen ES, Bujnicki JM, Chiu W, Das R, Luo B, Masquida B, McRae EK, Schroeder GM, Su Z, Wedekind JE, Xu L, Zhang K, Zheludev IN, Moult J, Kryshtafovych A. RNA target highlights in CASP15: Evaluation of predicted models by structure providers. Proteins 2023; 91:1600-1615. [PMID: 37466021 PMCID: PMC10792523 DOI: 10.1002/prot.26550] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/16/2023] [Accepted: 06/26/2023] [Indexed: 07/20/2023]
Abstract
The first RNA category of the Critical Assessment of Techniques for Structure Prediction competition was only made possible because of the scientists who provided experimental structures to challenge the predictors. In this article, these scientists offer a unique and valuable analysis of both the successes and areas for improvement in the predicted models. All 10 RNA-only targets yielded predictions topologically similar to experimentally determined structures. For one target, experimentalists were able to phase their x-ray diffraction data by molecular replacement, showing a potential application of structure predictions for RNA structural biologists. Recommended areas for improvement include: enhancing the accuracy in local interaction predictions and increased consideration of the experimental conditions such as multimerization, structure determination method, and time along folding pathways. The prediction of RNA-protein complexes remains the most significant challenge. Finally, given the intrinsic flexibility of many RNAs, we propose the consideration of ensemble models.
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Affiliation(s)
- Rachael C. Kretsch
- Biophysics Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Ebbe S. Andersen
- Interdisciplinary Nanoscience Center and Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark
| | - Janusz M. Bujnicki
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
| | - Wah Chiu
- Biophysics Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Bioengineering and James H. Clark Center, Stanford University, Stanford, CA, USA
- Division of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Menlo Park, CA, USA
| | - Rhiju Das
- Biophysics Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford, CA, USA
| | - Bingnan Luo
- The State Key Laboratory of Biotherapy, Frontiers Medical Center of Tianfu Jincheng Laboratory, Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610044, Sichuan, China
| | - Benoît Masquida
- UMR 7156, CNRS – Universite de Strasbourg, Strasbourg, France
| | - Ewan K.S. McRae
- Center for RNA Therapeutics, Houston Methodist Research Institute, Houston, TX 77030, USA
| | - Griffin M. Schroeder
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
- Center for RNA Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
| | - Zhaoming Su
- The State Key Laboratory of Biotherapy, Frontiers Medical Center of Tianfu Jincheng Laboratory, Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610044, Sichuan, China
| | - Joseph E. Wedekind
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
- Center for RNA Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, 14642, USA
| | - Lily Xu
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kaiming Zhang
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Ivan N. Zheludev
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - John Moult
- Department of Cell Biology and Molecular Genetics, Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, USA
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3
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Verhoeve VI, Lehman SS, Driscoll TP, Beckmann JF, Gillespie JJ. Metagenome diversity illuminates origins of pathogen effectors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.26.530123. [PMID: 36909625 PMCID: PMC10002696 DOI: 10.1101/2023.02.26.530123] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
Recent metagenome assembled genome (MAG) analyses have profoundly impacted Rickettsiology systematics. Discovery of basal lineages (Mitibacteraceae and Athabascaceae) with predicted extracellular lifestyles reveals an evolutionary timepoint for the transition to host dependency, which occurred independent of mitochondrial evolution. Notably, these basal rickettsiae carry the Rickettsiales vir homolog (rvh) type IV secretion system (T4SS) and purportedly use rvh to kill congener microbes rather than parasitize host cells as described for derived rickettsial pathogens. MAG analysis also substantially increased diversity for genus Rickettsia and delineated a basal lineage (Tisiphia) that stands to inform on the rise of human pathogens from protist and invertebrate endosymbionts. Herein, we probed Rickettsiales MAG and genomic diversity for the distribution of Rickettsia rvh effectors to ascertain their origins. A sparse distribution of most Rickettsia rvh effectors outside of Rickettsiaceae lineages indicates unique rvh evolution from basal extracellular species and other rickettsial families. Remarkably, nearly every effector was found in multiple divergent forms with variable architectures, illuminating profound roles for gene duplication and recombination in shaping effector repertoires in Rickettsia pathogens. Lateral gene transfer plays a prominent role shaping the rvh effector landscape, as evinced by the discover of many effectors on plasmids and conjugative transposons, as well as pervasive effector gene exchange between Rickettsia and Legionella species. Our study exemplifies how MAGs can provide incredible insight on the origins of pathogen effectors and how their architectural modifications become tailored to eukaryotic host cell biology.
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Affiliation(s)
- Victoria I Verhoeve
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Stephanie S Lehman
- Division of Molecular and Cellular Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Timothy P Driscoll
- Department of Biology, West Virginia University, Morgantown, West Virginia, USA
| | - John F Beckmann
- Microbiology and Immunology, University of South Alabama, Mobile, AL, USA
| | - Joseph J Gillespie
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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4
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Benedyk TH, Connor V, Caroe ER, Shamin M, Svergun DI, Deane JE, Jeffries CM, Crump CM, Graham SC. Herpes simplex virus 1 protein pUL21 alters ceramide metabolism by activating the interorganelle transport protein CERT. J Biol Chem 2022; 298:102589. [PMID: 36243114 PMCID: PMC9668737 DOI: 10.1016/j.jbc.2022.102589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/06/2022] Open
Abstract
Herpes simplex virus (HSV)-1 dramatically alters the architecture and protein composition of cellular membranes during infection, but its effects upon membrane lipid composition remain unclear. HSV-1 pUL21 is a virus-encoded protein phosphatase adaptor that promotes dephosphorylation of multiple cellular and virus proteins, including the cellular ceramide (Cer) transport protein CERT. CERT mediates nonvesicular Cer transport from the endoplasmic reticulum to the trans-Golgi network, whereupon Cer is converted to sphingomyelin (SM) and other sphingolipids that play important roles in cellular proliferation, signaling, and membrane trafficking. Here, we use click chemistry to profile the kinetics of sphingolipid metabolism, showing that pUL21-mediated dephosphorylation activates CERT and accelerates Cer-to-SM conversion. Purified pUL21 and full-length CERT interact with submicromolar affinity, and we solve the solution structure of the pUL21 C-terminal domain in complex with the CERT Pleckstrin homology and steroidogenic acute regulatory-related lipid transfer domains using small-angle X-ray scattering. We identify a single amino acid mutation on the surface of pUL21 that disrupts CERT binding in vitro and in cultured cells. This residue is highly conserved across the genus Simplexvirus. In addition, we identify a pUL21 residue essential for binding to HSV-1 pUL16. Sphingolipid profiling demonstrates that Cer-to-SM conversion is severely diminished in the context of HSV-1 infection, a defect that is compounded when infecting with a virus encoding the mutated form of pUL21 that lacks the ability to activate CERT. However, virus replication and spread in cultured keratinocytes or epithelial cells is not significantly altered when pUL21-mediated CERT dephosphorylation is abolished. Collectively, we demonstrate that HSV-1 modifies sphingolipid metabolism via specific protein-protein interactions.
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Affiliation(s)
| | - Viv Connor
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Eve R Caroe
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Maria Shamin
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Dmitri I Svergun
- European Molecular Biology Laboratory (EMBL) Hamburg Site, Hamburg, Germany
| | - Janet E Deane
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Cy M Jeffries
- European Molecular Biology Laboratory (EMBL) Hamburg Site, Hamburg, Germany
| | - Colin M Crump
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Stephen C Graham
- Department of Pathology, University of Cambridge, Cambridge, UK.
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5
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Verhoeve VI, Fauntleroy TD, Risteen RG, Driscoll TP, Gillespie JJ. Cryptic Genes for Interbacterial Antagonism Distinguish Rickettsia Species Infecting Blacklegged Ticks From Other Rickettsia Pathogens. Front Cell Infect Microbiol 2022; 12:880813. [PMID: 35592653 PMCID: PMC9111745 DOI: 10.3389/fcimb.2022.880813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/04/2022] [Indexed: 01/28/2023] Open
Abstract
Background The genus Rickettsia (Alphaproteobacteria: Rickettsiales) encompasses numerous obligate intracellular species with predominantly ciliate and arthropod hosts. Notable species are pathogens transmitted to mammals by blood-feeding arthropods. Mammalian pathogenicity evolved from basal, non-pathogenic host-associations; however, some non-pathogens are closely related to pathogens. One such species, Rickettsia buchneri, is prevalent in the blacklegged tick, Ixodes scapularis. While I. scapularis transmits several pathogens to humans, it does not transmit Rickettsia pathogens. We hypothesize that R. buchneri established a mutualism with I. scapularis, blocking tick superinfection with Rickettsia pathogens. Methods To improve estimates for assessing R. buchneri infection frequency in blacklegged tick populations, we used comparative genomics to identify an R. buchneri gene (REIS_1424) not present in other Rickettsia species present throughout the I. scapularis geographic range. Bioinformatic and phylogenomics approaches were employed to propose a function for the hypothetical protein (263 aa) encoded by REIS_1424. Results REIS_1424 has few analogs in other Rickettsiales genomes and greatest similarity to non-Proteobacteria proteins. This cohort of proteins varies greatly in size and domain composition, possessing characteristics of Recombination hotspot (Rhs) and contact dependent growth inhibition (CDI) toxins, with similarity limited to proximal C-termini (~145 aa). This domain was named CDI-like/Rhs-like C-terminal toxin (CRCT). As such proteins are often found as toxin-antidote (TA) modules, we interrogated REIS_1423 (151 aa) as a putative antidote. Indeed, REIS_1423 is similar to proteins encoded upstream of CRCT domain-containing proteins. Accordingly, we named these proteins CDI-like/Rhs-like C-terminal toxin antidotes (CRCA). R. buchneri expressed both REIS_1423 and REIS_1424 in tick cell culture, and PCR assays showed specificity for R. buchneri over other rickettsiae and utility for positive detection in three tick populations. Finally, phylogenomics analyses uncovered divergent CRCT/CRCA modules in varying states of conservation; however, only R. buchneri and related Tamurae/Ixodes Group rickettsiae carry complete TA modules. Conclusion We hypothesize that Rickettsia CRCT/CRCA modules circulate in the Rickettsia mobile gene pool, arming rickettsiae for battle over arthropod colonization. While its functional significance remains to be tested, R. buchneri CRCT/CRCA serves as a marker to positively identify infection and begin deciphering the role this endosymbiont plays in the biology of the blacklegged tick.
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Affiliation(s)
- Victoria I. Verhoeve
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Tyesha D. Fauntleroy
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Riley G. Risteen
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Timothy P. Driscoll
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | - Joseph J. Gillespie
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, United States
- *Correspondence: Joseph J. Gillespie,
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6
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Alexander LT, Lepore R, Kryshtafovych A, Adamopoulos A, Alahuhta M, Arvin AM, Bomble YJ, Böttcher B, Breyton C, Chiarini V, Chinnam NB, Chiu W, Fidelis K, Grinter R, Gupta GD, Hartmann MD, Hayes CS, Heidebrecht T, Ilari A, Joachimiak A, Kim Y, Linares R, Lovering AL, Lunin VV, Lupas AN, Makbul C, Michalska K, Moult J, Mukherjee PK, Nutt W(S, Oliver SL, Perrakis A, Stols L, Tainer JA, Topf M, Tsutakawa SE, Valdivia‐Delgado M, Schwede T. Target highlights in CASP14: Analysis of models by structure providers. Proteins 2021; 89:1647-1672. [PMID: 34561912 PMCID: PMC8616854 DOI: 10.1002/prot.26247] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 09/13/2021] [Accepted: 09/16/2021] [Indexed: 12/11/2022]
Abstract
The biological and functional significance of selected Critical Assessment of Techniques for Protein Structure Prediction 14 (CASP14) targets are described by the authors of the structures. The authors highlight the most relevant features of the target proteins and discuss how well these features were reproduced in the respective submitted predictions. The overall ability to predict three-dimensional structures of proteins has improved remarkably in CASP14, and many difficult targets were modeled with impressive accuracy. For the first time in the history of CASP, the experimentalists not only highlighted that computational models can accurately reproduce the most critical structural features observed in their targets, but also envisaged that models could serve as a guidance for further studies of biologically-relevant properties of proteins.
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Affiliation(s)
- Leila T. Alexander
- Biozentrum, University of BaselBaselSwitzerland
- Computational Structural BiologySIB Swiss Institute of BioinformaticsBaselSwitzerland
| | | | | | - Athanassios Adamopoulos
- Oncode Institute and Division of BiochemistryNetherlands Cancer InstituteAmsterdamThe Netherlands
| | - Markus Alahuhta
- Bioscience Center, National Renewable Energy LaboratoryGoldenColoradoUSA
| | - Ann M. Arvin
- Department of PediatricsStanford University School of MedicineStanfordCaliforniaUSA
- Microbiology and ImmunologyStanford University School of MedicineStanfordCaliforniaUSA
| | - Yannick J. Bomble
- Bioscience Center, National Renewable Energy LaboratoryGoldenColoradoUSA
| | - Bettina Böttcher
- Biocenter and Rudolf Virchow Center, Julius‐Maximilians Universität WürzburgWürzburgGermany
| | - Cécile Breyton
- Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural BiologyGrenobleFrance
| | - Valerio Chiarini
- Program in Structural Biology and BiophysicsInstitute of Biotechnology, University of HelsinkiHelsinkiFinland
| | - Naga babu Chinnam
- Department of Molecular and Cellular OncologyThe University of Texas M.D. Anderson Cancer CenterHoustonTexasUSA
| | - Wah Chiu
- Microbiology and ImmunologyStanford University School of MedicineStanfordCaliforniaUSA
- BioengineeringStanford University School of MedicineStanfordCaliforniaUSA
- Division of Cryo‐EM and Bioimaging SSRLSLAC National Accelerator LaboratoryMenlo ParkCaliforniaUSA
| | | | - Rhys Grinter
- Infection and Immunity Program, Biomedicine Discovery Institute and Department of MicrobiologyMonash UniversityClaytonAustralia
| | - Gagan D. Gupta
- Radiation Biology & Health Sciences DivisionBhabha Atomic Research CentreMumbaiIndia
| | - Marcus D. Hartmann
- Department of Protein EvolutionMax Planck Institute for Developmental BiologyTübingenGermany
| | - Christopher S. Hayes
- Department of Molecular, Cellular and Developmental BiologyUniversity of California, Santa BarbaraSanta BarbaraCaliforniaUSA
- Biomolecular Science and Engineering ProgramUniversity of California, Santa BarbaraSanta BarbaraCaliforniaUSA
| | - Tatjana Heidebrecht
- Oncode Institute and Division of BiochemistryNetherlands Cancer InstituteAmsterdamThe Netherlands
| | - Andrea Ilari
- Institute of Molecular Biology and Pathology of the National Research Council of Italy (CNR)RomeItaly
| | - Andrzej Joachimiak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of ChicagoChicagoIllinoisUSA
- X‐ray Science DivisionArgonne National Laboratory, Structural Biology CenterArgonneIllinoisUSA
- Department of Biochemistry and Molecular BiologyUniversity of ChicagoChicagoIllinoisUSA
| | - Youngchang Kim
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of ChicagoChicagoIllinoisUSA
- X‐ray Science DivisionArgonne National Laboratory, Structural Biology CenterArgonneIllinoisUSA
| | - Romain Linares
- Univ. Grenoble Alpes, CNRS, CEA, Institute for Structural BiologyGrenobleFrance
| | | | - Vladimir V. Lunin
- Bioscience Center, National Renewable Energy LaboratoryGoldenColoradoUSA
| | - Andrei N. Lupas
- Department of Protein EvolutionMax Planck Institute for Developmental BiologyTübingenGermany
| | - Cihan Makbul
- Biocenter and Rudolf Virchow Center, Julius‐Maximilians Universität WürzburgWürzburgGermany
| | - Karolina Michalska
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of ChicagoChicagoIllinoisUSA
- X‐ray Science DivisionArgonne National Laboratory, Structural Biology CenterArgonneIllinoisUSA
| | - John Moult
- Department of Cell Biology and Molecular GeneticsInstitute for Bioscience and Biotechnology Research, University of MarylandRockvilleMarylandUSA
| | - Prasun K. Mukherjee
- Nuclear Agriculture & Biotechnology DivisionBhabha Atomic Research CentreMumbaiIndia
| | - William (Sam) Nutt
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of ChicagoChicagoIllinoisUSA
- X‐ray Science DivisionArgonne National Laboratory, Structural Biology CenterArgonneIllinoisUSA
| | - Stefan L. Oliver
- Department of PediatricsStanford University School of MedicineStanfordCaliforniaUSA
| | - Anastassis Perrakis
- Oncode Institute and Division of BiochemistryNetherlands Cancer InstituteAmsterdamThe Netherlands
| | - Lucy Stols
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of ChicagoChicagoIllinoisUSA
- X‐ray Science DivisionArgonne National Laboratory, Structural Biology CenterArgonneIllinoisUSA
| | - John A. Tainer
- Department of Molecular and Cellular OncologyThe University of Texas M.D. Anderson Cancer CenterHoustonTexasUSA
- Department of Cancer BiologyUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Maya Topf
- Institute of Structural and Molecular Biology, Birkbeck, University College LondonLondonUK
- Centre for Structural Systems Biology, Leibniz‐Institut für Experimentelle VirologieHamburgGermany
| | - Susan E. Tsutakawa
- Molecular Biophysics and Integrated BioimagingLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
| | | | - Torsten Schwede
- Biozentrum, University of BaselBaselSwitzerland
- Computational Structural BiologySIB Swiss Institute of BioinformaticsBaselSwitzerland
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7
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Modenutti CP, Blanco Capurro JI, Ibba R, Alonzi DS, Song MN, Vasiljević S, Kumar A, Chandran AV, Tax G, Marti L, Hill JC, Lia A, Hensen M, Waksman T, Rushton J, Rubichi S, Santino A, Martí MA, Zitzmann N, Roversi P. Clamping, bending, and twisting inter-domain motions in the misfold-recognizing portion of UDP-glucose: Glycoprotein glucosyltransferase. Structure 2021; 29:357-370.e9. [PMID: 33352114 PMCID: PMC8024514 DOI: 10.1016/j.str.2020.11.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 09/07/2020] [Accepted: 11/24/2020] [Indexed: 12/27/2022]
Abstract
UDP-glucose:glycoprotein glucosyltransferase (UGGT) flags misfolded glycoproteins for ER retention. We report crystal structures of full-length Chaetomium thermophilum UGGT (CtUGGT), two CtUGGT double-cysteine mutants, and its TRXL2 domain truncation (CtUGGT-ΔTRXL2). CtUGGT molecular dynamics (MD) simulations capture extended conformations and reveal clamping, bending, and twisting inter-domain movements. We name "Parodi limit" the maximum distance on the same glycoprotein between a site of misfolding and an N-linked glycan that can be reglucosylated by monomeric UGGT in vitro, in response to recognition of misfold at that site. Based on the MD simulations, we estimate the Parodi limit as around 70-80 Å. Frequency distributions of distances between glycoprotein residues and their closest N-linked glycosylation sites in glycoprotein crystal structures suggests relevance of the Parodi limit to UGGT activity in vivo. Our data support a "one-size-fits-all adjustable spanner" UGGT substrate recognition model, with an essential role for the UGGT TRXL2 domain.
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Affiliation(s)
- Carlos P Modenutti
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina; Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET. Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina
| | - Juan I Blanco Capurro
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina; Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET. Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina
| | - Roberta Ibba
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Dipartimento di Chimica e Farmacia, Università degli Studi di Sassari, Via Muroni 23A, 07100 Sassari, SS, Italy
| | - Dominic S Alonzi
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Mauro N Song
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina; Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET. Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina
| | - Snežana Vasiljević
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Abhinav Kumar
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Anu V Chandran
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Gabor Tax
- Leicester Institute of Structural and Chemical Biology, Department of Molecular and Cell Biology, University of Leicester, Henry Wellcome Building, Lancaster Road, Leicester, LE1 7RH,, UK
| | - Lucia Marti
- Institute of Sciences of Food Production, C.N.R. Unit of Lecce, via Monteroni, 73100 Lecce, Italy
| | - Johan C Hill
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Andrea Lia
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Leicester Institute of Structural and Chemical Biology, Department of Molecular and Cell Biology, University of Leicester, Henry Wellcome Building, Lancaster Road, Leicester, LE1 7RH,, UK; Institute of Sciences of Food Production, C.N.R. Unit of Lecce, via Monteroni, 73100 Lecce, Italy
| | - Mario Hensen
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Thomas Waksman
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Jonathan Rushton
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK
| | - Simone Rubichi
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Institute of Sciences of Food Production, C.N.R. Unit of Lecce, via Monteroni, 73100 Lecce, Italy
| | - Angelo Santino
- Institute of Sciences of Food Production, C.N.R. Unit of Lecce, via Monteroni, 73100 Lecce, Italy
| | - Marcelo A Martí
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina; Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET. Ciudad Universitaria, Pab. II (CE1428EHA), Buenos Aires, Argentina.
| | - Nicole Zitzmann
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.
| | - Pietro Roversi
- Oxford Glycobiology Institute, Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Leicester Institute of Structural and Chemical Biology, Department of Molecular and Cell Biology, University of Leicester, Henry Wellcome Building, Lancaster Road, Leicester, LE1 7RH,, UK.
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Roy Burman SS, Yovanno RA, Gray JJ. Flexible Backbone Assembly and Refinement of Symmetrical Homomeric Complexes. Structure 2019; 27:1041-1051.e8. [PMID: 31006588 PMCID: PMC6719319 DOI: 10.1016/j.str.2019.03.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 01/24/2019] [Accepted: 03/15/2019] [Indexed: 01/18/2023]
Abstract
Symmetrical homomeric proteins are ubiquitous in every domain of life, and information about their structure is essential to decipher function. The size of these complexes often makes them intractable to high-resolution structure determination experiments. Computational docking algorithms offer a promising alternative for modeling large complexes with arbitrary symmetry. Accuracy of existing algorithms, however, is limited by backbone inaccuracies when using homology-modeled monomers. Here, we present Rosetta SymDock2 with a broad search of symmetrical conformational space using a six-dimensional coarse-grained score function followed by an all-atom flexible-backbone refinement, which we demonstrate to be essential for physically realistic modeling of tightly packed complexes. In global docking of a benchmark set of complexes of different point symmetries-starting from homology-modeled monomers-we successfully dock (defined as predicting three near-native structures in the five top-scoring models) 17 out of 31 cyclic complexes and 3 out of 12 dihedral complexes.
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Affiliation(s)
- Shourya S Roy Burman
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Remy A Yovanno
- Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jeffrey J Gray
- Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA; Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD 21218, USA.
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9
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Moult J, Fidelis K, Kryshtafovych A, Schwede T, Tramontano A. Critical assessment of methods of protein structure prediction (CASP)-Round XII. Proteins 2018; 86 Suppl 1:7-15. [PMID: 29082672 PMCID: PMC5897042 DOI: 10.1002/prot.25415] [Citation(s) in RCA: 245] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 10/25/2017] [Accepted: 10/27/2017] [Indexed: 12/24/2022]
Abstract
This article reports the outcome of the 12th round of Critical Assessment of Structure Prediction (CASP12), held in 2016. CASP is a community experiment to determine the state of the art in modeling protein structure from amino acid sequence. Participants are provided sequence information and in turn provide protein structure models and related information. Analysis of the submitted structures by independent assessors provides a comprehensive picture of the capabilities of current methods, and allows progress to be identified. This was again an exciting round of CASP, with significant advances in 4 areas: (i) The use of new methods for predicting three-dimensional contacts led to a two-fold improvement in contact accuracy. (ii) As a consequence, model accuracy for proteins where no template was available improved dramatically. (iii) Models based on a structural template showed overall improvement in accuracy. (iv) Methods for estimating the accuracy of a model continued to improve. CASP continued to develop new areas: (i) Assessing methods for building quaternary structure models, including an expansion of the collaboration between CASP and CAPRI. (ii) Modeling with the aid of experimental data was extended to include SAXS data, as well as again using chemical cross-linking information. (iii) A team of assessors evaluated the suitability of models for a range of applications, including mutation interpretation, analysis of ligand binding properties, and identification of interfaces. This article describes the experiment and summarizes the results. The rest of this special issue of PROTEINS contains papers describing CASP12 results and assessments in more detail.
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Affiliation(s)
- John Moult
- Institute for Bioscience and Biotechnology Research and Department of Cell Biology and Molecular Genetics, University of Maryland, 9600 Gudelsky Drive, Rockville, MD 20850, USA
| | - Krzysztof Fidelis
- Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - Andriy Kryshtafovych
- Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - Torsten Schwede
- University of Basel, Biozentrum & SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Anna Tramontano
- Department of Physics and Istituto Pasteur - Fondazione Cenci Bolognetti, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy
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