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Qin S, Wei G, Lin Q, Tang D, Li C, Tan Z, Yao L, Huang L, Wei F, Liang Y. Analysis of the Spatholobus suberectus full-length transcriptome identified an R2R3-MYB transcription factor-encoding gene SsMYB158 that regulates flavonoid biosynthesis. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2024; 214:108929. [PMID: 39002304 DOI: 10.1016/j.plaphy.2024.108929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/14/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024]
Abstract
Spatholobus suberectus Dunn (Leguminosae) has been used for medicinal purposes for a long period. Flavonoids are the major bioactive components of S. suberectus. However, there is still limited knowledge of the exact method via which transcription factors (TFs) regulate flavonoid biosynthesis. The full-length transcriptome of S. suberectus was analyzed using SMRT sequencing; 61,548 transcripts were identified, including 12,311 new gene loci, 53,336 novel transcripts, 44,636 simple sequence repeats, 36,414 complete coding sequences, 871 long non-coding RNAs and 6781 TFs. The SsMYB158 TF, which is associated with flavonoid biosynthesis, belongs to the R2R3-MYB class and is localized subcellularly to the nucleus. The overexpression of SsMYB158 in Nicotiana benthamiana and the transient overexpression of SsMYB158 in S. suberectus resulted in a substantial enhancement in both flavonoids and catechin levels. In addition, there was a remarkable upregulation in the expression of essential enzyme-coding genes associated with the flavonoid biosynthesis pathways. Our study revealed SsMYB158 as a critical regulator of flavonoid biosynthesis in S. suberectus and laying the foundation for its molecular breeding.
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Affiliation(s)
- Shuangshuang Qin
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China.
| | - Guili Wei
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Quan Lin
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Danfeng Tang
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Cui Li
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Zhien Tan
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Lixiang Yao
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Lirong Huang
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China
| | - Fan Wei
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China.
| | - Ying Liang
- Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, National Center for Traditional Chinese Medicine (TCM) Inheritance and Innovation, Guangxi Botanical Garden of Medicinal Plants, Nanning, China; National Engineering Research Center for Southwest Endangered Medicinal Materials Resources Development, Guangxi Botanical Garden of Medicinal Plants, Nanning, China.
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2
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Naudé M, Faller P, Lebrun V. A Closer Look at Type I Left-Handed β-Helices Provides a Better Understanding in Their Sequence-Structure Relationship: Toward Their Rational Design. Proteins 2024. [PMID: 38980225 DOI: 10.1002/prot.26726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/17/2024] [Accepted: 06/20/2024] [Indexed: 07/10/2024]
Abstract
Understanding the sequence-structure relationship in protein is of fundamental interest, but has practical applications such as the rational design of peptides and proteins. This relationship in the Type I left-handed β-helix containing proteins is updated and revisited in this study. Analyzing the available experimental structures in the Protein Data Bank, we could describe, further in detail, the structural features that are important for the stability of this fold, as well as its nucleation and termination. This study is meant to complete previous work, as it provides a separate analysis of the N-terminal and C-terminal rungs of the helix. Particular sequence motifs of these rungs are described along with the structural element they form.
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Affiliation(s)
- Maxime Naudé
- Institute of Chemistry of Strasbourg (UMR 7177), University of Strasbourg-CNRS, Strasbourg, France
| | - Peter Faller
- Institute of Chemistry of Strasbourg (UMR 7177), University of Strasbourg-CNRS, Strasbourg, France
| | - Vincent Lebrun
- Institute of Chemistry of Strasbourg (UMR 7177), University of Strasbourg-CNRS, Strasbourg, France
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3
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Olvera-Lucio FH, Riveros-Rosas H, Quintero-Martínez A, Hernández-Santoyo A. Tandem-repeat lectins: structural and functional insights. Glycobiology 2024; 34:cwae041. [PMID: 38857376 PMCID: PMC11186620 DOI: 10.1093/glycob/cwae041] [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: 10/12/2023] [Revised: 05/05/2024] [Accepted: 06/10/2024] [Indexed: 06/12/2024] Open
Abstract
Multivalency in lectins plays a pivotal role in influencing glycan cross-linking, thereby affecting lectin functionality. This multivalency can be achieved through oligomerization, the presence of tandemly repeated carbohydrate recognition domains, or a combination of both. Unlike lectins that rely on multiple factors for the oligomerization of identical monomers, tandem-repeat lectins inherently possess multivalency, independent of this complex process. The repeat domains, although not identical, display slightly distinct specificities within a predetermined geometry, enhancing specificity, affinity, avidity and even oligomerization. Despite the recognition of this structural characteristic in recently discovered lectins by numerous studies, a unified criterion to define tandem-repeat lectins is still necessary. We suggest defining them multivalent lectins with intrachain tandem repeats corresponding to carbohydrate recognition domains, independent of oligomerization. This systematic review examines the folding and phyletic diversity of tandem-repeat lectins and refers to relevant literature. Our study categorizes all lectins with tandemly repeated carbohydrate recognition domains into nine distinct folding classes associated with specific biological functions. Our findings provide a comprehensive description and analysis of tandem-repeat lectins in terms of their functions and structural features. Our exploration of phyletic and functional diversity has revealed previously undocumented tandem-repeat lectins. We propose research directions aimed at enhancing our understanding of the origins of tandem-repeat lectin and fostering the development of medical and biotechnological applications, notably in the design of artificial sugars and neolectins.
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Affiliation(s)
- Francisco H Olvera-Lucio
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad de México, Coyoacán 04510, Mexico
| | - Héctor Riveros-Rosas
- Depto. Bioquímica, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, Coyoacán 04510, Mexico
| | - Adrián Quintero-Martínez
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad de México, Coyoacán 04510, Mexico
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4
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Mac Donagh J, Marchesini A, Spiga A, Fallico MJ, Arrías PN, Monzon AM, Vagiona AC, Gonçalves-Kulik M, Mier P, Andrade-Navarro MA. Structured Tandem Repeats in Protein Interactions. Int J Mol Sci 2024; 25:2994. [PMID: 38474241 DOI: 10.3390/ijms25052994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
Tandem repeats (TRs) in protein sequences are consecutive, highly similar sequence motifs. Some types of TRs fold into structural units that pack together in ensembles, forming either an (open) elongated domain or a (closed) propeller, where the last unit of the ensemble packs against the first one. Here, we examine TR proteins (TRPs) to see how their sequence, structure, and evolutionary properties favor them for a function as mediators of protein interactions. Our observations suggest that TRPs bind other proteins using large, structured surfaces like globular domains; in particular, open-structured TR ensembles are favored by flexible termini and the possibility to tightly coil against their targets. While, intuitively, open ensembles of TRs seem prone to evolve due to their potential to accommodate insertions and deletions of units, these evolutionary events are unexpectedly rare, suggesting that they are advantageous for the emergence of the ancestral sequence but are early fixed. We hypothesize that their flexibility makes it easier for further proteins to adapt to interact with them, which would explain their large number of protein interactions. We provide insight into the properties of open TR ensembles, which make them scaffolds for alternative protein complexes to organize genes, RNA and proteins.
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Affiliation(s)
- Juan Mac Donagh
- Science and Technology Department, National University of Quilmes, Bernal B1876, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires C1033AAJ, Argentina
| | - Abril Marchesini
- National Scientific and Technical Research Council (CONICET), Buenos Aires C1033AAJ, Argentina
- Biotechnology and Molecular Biology Institute (IBBM, UNLP-CONICET), Faculty of Exact Sciences, University of La Plata, La Plata 1900, Argentina
| | - Agostina Spiga
- Science and Technology Department, National University of Quilmes, Bernal B1876, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires C1033AAJ, Argentina
| | - Maximiliano José Fallico
- Laboratory of Bioactive Compound Research and Development, Faculty of Exact Sciences, University of La Plata, La Plata 1900, Argentina
| | - Paula Nazarena Arrías
- Department of Biomedical Sciences, University of Padova, Via U. Bassi 58/b, 35121 Padova, Italy
| | - Alexander Miguel Monzon
- Department of Information Engineering, University of Padova, Via Giovanni Gradenigo 6/B, 35131 Padova, Italy
| | - Aimilia-Christina Vagiona
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Mariane Gonçalves-Kulik
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Pablo Mier
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Miguel A Andrade-Navarro
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University, Hans-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
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5
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Vottero P, Olivetti EC, D'Agostino LC, Di Grazia L, Vezzetti E, Aminpour M, Tuszynski JA, Marcolin F. Understanding the contagiousness of Covid-19 strains: A geometric approach. J Mol Graph Model 2024; 126:108670. [PMID: 37984193 DOI: 10.1016/j.jmgm.2023.108670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 11/22/2023]
Abstract
Protein-protein interaction occurs on surface patches with some degree of complementary geometric and chemical features. Building on this understanding, this study endeavors to characterize the spike protein of the SARS-CoV-2 virus at the morphological and geometrical levels in its Alpha, Delta, and Omicron variants. In particular, the affinity between different SARS-CoV-2 spike proteins and the ACE2 receptor present on the membrane of the human respiratory system cells is investigated. To achieve an adequate degree of geometrical accuracy, the 3D depth maps of the proteins in exam are filtered by developing an ad-hoc convolutional filter with a kernel implemented as a sphere of varying radius, simulating a ball rolling on the surface (similar to the 'rolling ball' filter). This ball ideally models a hypothetical molecule that could interface with the protein and is inspired by the geometric approach to macromolecule-ligand interactions proposed by Kuntz et al. in 1982. The aim is to mitigate the imperfections and to obtain a smoother surface that could be studied from a geometrical perspective for binding purposes. A set of geometric descriptors, borrowed from the 3D face analysis context is then mapped point-by-point onto protein depth maps. Following a feature extraction phase inspired by Histogram of Oriented Gradients and Local Binary Patterns, the final histogram features are used as input for a Support Vector Machine classifier to automatically classify the proteins according to their surface affinity, where a similarity in shape is observed between ACE2 and the spike protein of the SARS-CoV-2 Omicron variant. Finally, Root Mean Square Error analysis is used to quantify the geometrical affinity between the ACE2 receptor and the respective Receptor Binding Domains of the three SARS-CoV-2 variants, culminating in a geometrical explanation for the higher contagiousness of Omicron relative to the other variants under study.
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Affiliation(s)
- Paola Vottero
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, T6G 2V2, Canada
| | - Elena Carlotta Olivetti
- Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - Lucia Chiara D'Agostino
- Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - Luca Di Grazia
- Department of Computer Science, University of Stuttgart, Universitätsstr. 38, 70569, Stuttgart, Germany
| | - Enrico Vezzetti
- Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
| | - Maral Aminpour
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, T6G 2V2, Canada
| | - Jacek Adam Tuszynski
- Department of Physics, University of Alberta, Edmonton, AB, T6G 2H7, Canada; Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy; Department of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland.
| | - Federica Marcolin
- Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy
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6
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Monzon AM, Arrías PN, Elofsson A, Mier P, Andrade-Navarro MA, Bevilacqua M, Clementel D, Bateman A, Hirsh L, Fornasari MS, Parisi G, Piovesan D, Kajava AV, Tosatto SCE. A STRP-ed definition of Structured Tandem Repeats in Proteins. J Struct Biol 2023; 215:108023. [PMID: 37652396 DOI: 10.1016/j.jsb.2023.108023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/31/2023] [Accepted: 08/28/2023] [Indexed: 09/02/2023]
Abstract
Tandem Repeat Proteins (TRPs) are a class of proteins with repetitive amino acid sequences that have been studied extensively for over two decades. Different features at the level of sequence, structure, function and evolution have been attributed to them by various authors. And yet many of its salient features appear only when looking at specific subclasses of protein tandem repeats. Here, we attempt to rationalize the existing knowledge on Tandem Repeat Proteins (TRPs) by pointing out several dichotomies. The emerging picture is more nuanced than generally assumed and allows us to draw some boundaries of what is not a "proper" TRP. We conclude with an operational definition of a specific subset, which we have denominated STRPs (Structural Tandem Repeat Proteins), which separates a subclass of tandem repeats with distinctive features from several other less well-defined types of repeats. We believe that this definition will help researchers in the field to better characterize the biological meaning of this large yet largely understudied group of proteins.
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Affiliation(s)
- Alexander Miguel Monzon
- Dept. of Information Engineering, University of Padova, via Giovanni Gradenigo 6/B, 35131 Padova, Italy
| | - Paula Nazarena Arrías
- Dept. of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Arne Elofsson
- Dept. of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, Tomtebodavägen 23, 171 21 Solna, Sweden
| | - Pablo Mier
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University of Mainz, Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Miguel A Andrade-Navarro
- Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University of Mainz, Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Martina Bevilacqua
- Dept. of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Damiano Clementel
- Dept. of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Alex Bateman
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Layla Hirsh
- Dept. of Engineering, Faculty of Science and Engineering, Pontifical Catholic University of Peru, Av. Universitaria 1801 San Miguel, Lima 32, Lima, Peru
| | - Maria Silvina Fornasari
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, CONICET, Bernal, Buenos Aires, Argentina
| | - Gustavo Parisi
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, CONICET, Bernal, Buenos Aires, Argentina
| | - Damiano Piovesan
- Dept. of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Andrey V Kajava
- Centre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, 1919 Route de Mende, Cedex 5, 34293 Montpellier, France
| | - Silvio C E Tosatto
- Dept. of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy.
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7
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Doyle LA, Takushi B, Kibler RD, Milles LF, Orozco CT, Jones JD, Jackson SE, Stoddard BL, Bradley P. De novo design of knotted tandem repeat proteins. Nat Commun 2023; 14:6746. [PMID: 37875492 PMCID: PMC10598012 DOI: 10.1038/s41467-023-42388-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 10/09/2023] [Indexed: 10/26/2023] Open
Abstract
De novo protein design methods can create proteins with folds not yet seen in nature. These methods largely focus on optimizing the compatibility between the designed sequence and the intended conformation, without explicit consideration of protein folding pathways. Deeply knotted proteins, whose topologies may introduce substantial barriers to folding, thus represent an interesting test case for protein design. Here we report our attempts to design proteins with trefoil (31) and pentafoil (51) knotted topologies. We extended previously described algorithms for tandem repeat protein design in order to construct deeply knotted backbones and matching designed repeat sequences (N = 3 repeats for the trefoil and N = 5 for the pentafoil). We confirmed the intended conformation for the trefoil design by X ray crystallography, and we report here on this protein's structure, stability, and folding behaviour. The pentafoil design misfolded into an asymmetric structure (despite a 5-fold symmetric sequence); two of the four repeat-repeat units matched the designed backbone while the other two diverged to form local contacts, leading to a trefoil rather than pentafoil knotted topology. Our results also provide insights into the folding of knotted proteins.
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Affiliation(s)
- Lindsey A Doyle
- Division of Basic Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Brittany Takushi
- Division of Basic Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Ryan D Kibler
- Department of Biochemistry, University of Washington, Seattle, WA, 98195, USA
| | - Lukas F Milles
- Department of Biochemistry, University of Washington, Seattle, WA, 98195, USA
| | - Carolina T Orozco
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Jonathan D Jones
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Sophie E Jackson
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Barry L Stoddard
- Division of Basic Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA.
| | - Philip Bradley
- Division of Basic Sciences, Fred Hutchinson Cancer Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA.
- Division of Public Health Sciences and Program in Computational Biology, Fred Hutchinson Cancer Center, 1100 Fairview Ave. N, Seattle, WA, 98009, USA.
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8
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Deryusheva EI, Machulin AV, Galzitskaya OV. Diversity and features of proteins with structural repeats. Biophys Rev 2023; 15:1159-1169. [PMID: 37974986 PMCID: PMC10643770 DOI: 10.1007/s12551-023-01130-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/28/2023] [Indexed: 11/19/2023] Open
Abstract
The review provides information on proteins with structural repeats, including their classification, characteristics, functions, and relevance in disease development. It explores methods for identifying structural repeats and specialized databases. The review also highlights the potential use of repeat proteins as drug design scaffolds and discusses their evolutionary mechanisms.
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Affiliation(s)
- Evgeniya I. Deryusheva
- Institute for Biological Instrumentation, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Pushchino, Russia
| | - Andrey V. Machulin
- Skryabin Institute of Biochemistry and Physiology of Microorganisms, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Pushchino, Russia
| | - Oxana V. Galzitskaya
- Institute of Protein Research of the Russian Academy of Sciences, Pushchino, Russia
- Institute of Theoretical and Experimental Biophysics of the Russian Academy of Sciences, Pushchino, Russia
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9
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Szatkownik A, Zea DJ, Richard H, Laine E. Building alternative splicing and evolution-aware sequence-structure maps for protein repeats. J Struct Biol 2023; 215:107997. [PMID: 37453591 DOI: 10.1016/j.jsb.2023.107997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/15/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023]
Abstract
Alternative splicing of repeats in proteins provides a mechanism for rewiring and fine-tuning protein interaction networks. In this work, we developed a robust and versatile method, ASPRING, to identify alternatively spliced protein repeats from gene annotations. ASPRING leverages evolutionary meaningful alternative splicing-aware hierarchical graphs to provide maps between protein repeats sequences and 3D structures. We re-think the definition of repeats by explicitly accounting for transcript diversity across several genes/species. Using a stringent sequence-based similarity criterion, we detected over 5,000 evolutionary conserved repeats by screening virtually all human protein-coding genes and their orthologs across a dozen species. Through a joint analysis of their sequences and structures, we extracted specificity-determining sequence signatures and assessed their implication in experimentally resolved and modelled protein interactions. Our findings demonstrate the widespread alternative usage of protein repeats in modulating protein interactions and open avenues for targeting repeat-mediated interactions.
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Affiliation(s)
- Antoine Szatkownik
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), 75005 Paris, France; Bioinformatics Unit, Genome Competence Center (MF1), Robert Koch Institute, 13353 Berlin, Germany
| | - Diego Javier Zea
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France
| | - Hugues Richard
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), 75005 Paris, France; Bioinformatics Unit, Genome Competence Center (MF1), Robert Koch Institute, 13353 Berlin, Germany.
| | - Elodie Laine
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), 75005 Paris, France.
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10
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Ferrelli ML, Pidre ML, García-Domínguez R, Alberca LN, Del Saz-Navarro DM, Santana-Molina C, Devos DP. Prokaryotic membrane coat - like proteins: An update. J Struct Biol 2023; 215:107987. [PMID: 37343709 DOI: 10.1016/j.jsb.2023.107987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/09/2023] [Accepted: 06/16/2023] [Indexed: 06/23/2023]
Abstract
Membrane coat proteins are essential players in the eukaryotic endomembrane traffic system. Previous work identified proteins with the membrane-coat architecture in prokaryotes, specifically in the Planctomycetes, Verrucomicrobia and Chlamydiae (PVC) superphylum, bacteria that display the most developed prokaryotic endomembrane system. Hence, the membrane coat-like (MCL) proteins are predicted to play a central role in this system but their actual function is still unknown. In this work we strengthened previous structure predictions for these prokaryotic MCL proteins. We also detected new putative MCL proteins in the Planctomycete Gemmata obscuriglobus. Structural analysis of these revealed the presence of additional domains apart from the β-propeller and α-solenoid combination, characteristic of the membrane-coat architecture. Functions associated with these domains include some related to carbohydrate or membrane/lipid binding. Using homology-based methods, we found MCL proteins in other bacterial phyla, but the most abundant hits are still restricted to Planctomycetes and Verrucomicrobia. Detailed inspection of neighbouring genes of MCL in G. obscuriglobus supports the idea that the function of these proteins is related to membrane manipulation. No significant hits were found in Archaea, including Asgard archaea. More than 10 years after their original detection, PVC bacteria are still uniquely linked to eukaryotes through the structure of the MCL proteins sustaining their endomembrane system.
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Affiliation(s)
- M Leticia Ferrelli
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Matías L Pidre
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Ruben García-Domínguez
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Lucas N Alberca
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - DMaría Del Saz-Navarro
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Carlos Santana-Molina
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain
| | - Damien P Devos
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas (CSIC), Campus Universidad Pablo de Olavide (UPO), 41013 Seville, Spain.
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11
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Arrías PN, Monzon AM, Clementel D, Mozaffari S, Piovesan D, Kajava AV, Tosatto SCE. The repetitive structure of DNA clamps: An overlooked protein tandem repeat. J Struct Biol 2023; 215:108001. [PMID: 37467824 DOI: 10.1016/j.jsb.2023.108001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/12/2023] [Accepted: 07/16/2023] [Indexed: 07/21/2023]
Abstract
Structured tandem repeats proteins (STRPs) are a specific kind of tandem repeat proteins characterized by a modular and repetitive three-dimensional structure arrangement. The majority of STRPs adopt solenoid structures, but with the increasing availability of experimental structures and high-quality predicted structural models, more STRP folds can be characterized. Here, we describe "Box repeats", an overlooked STRP fold present in the DNA sliding clamp processivity factors, which has eluded classification although structural data has been available since the late 1990s. Each Box repeat is a β⍺βββ module of about 60 residues, which forms a class V "beads-on-a-string" type STRP. The number of repeats present in processivity factors is organism dependent. Monomers of PCNA proteins in both Archaea and Eukarya have 4 repeats, while the monomers of bacterial beta-sliding clamps have 6 repeats. This new repeat fold has been added to the RepeatsDB database, which now provides structural annotation for 66 Box repeat proteins belonging to different organisms, including viruses.
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Affiliation(s)
- Paula Nazarena Arrías
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Alexander Miguel Monzon
- Department of Information Engineering, University of Padova, via Giovanni Gradenigo 6/B, 35131 Padova, Italy
| | - Damiano Clementel
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Soroush Mozaffari
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Damiano Piovesan
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy
| | - Andrey V Kajava
- Centre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, 1919 Route de Mende, Cedex 5, 34293 Montpellier, France
| | - Silvio C E Tosatto
- Department of Biomedical Sciences, University of Padova, via U. Bassi 58/b, 35121 Padova, Italy.
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12
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Mesdaghi S, Price RM, Madine J, Rigden DJ. Deep Learning-based structure modelling illuminates structure and function in uncharted regions of β-solenoid fold space. J Struct Biol 2023; 215:108010. [PMID: 37544372 DOI: 10.1016/j.jsb.2023.108010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/19/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023]
Abstract
Repeat proteins are common in all domains of life and exhibit a wide range of functions. One class of repeat protein contains solenoid folds where the repeating unit consists of β-strands separated by tight turns. β-solenoids have distinguishing structural features such as handedness, twist, oligomerisation state, coil shape and size which give rise to their diversity. Characterised β-solenoid repeat proteins are known to form regions in bacterial and viral virulence factors, antifreeze proteins and functional amyloids. For many of these proteins, the experimental structure has not been solved, as they are difficult to crystallise or model. Here we use various deep learning-based structure-modelling methods to discover novel predicted β-solenoids, perform structural database searches to mine further structural neighbours and relate their predicted structure to possible functions. We find both eukaryotic and prokaryotic adhesins, confirming a known functional linkage between adhesin function and the β-solenoid fold. We further identify exceptionally long, flat β-solenoid folds as possible structures of mucin tandem repeat regions and unprecedentedly small β-solenoid structures. Additionally, we characterise a novel β-solenoid coil shape, the FapC Greek key β-solenoid as well as plausible complexes between it and other proteins involved in Pseudomonas functional amyloid fibres.
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Affiliation(s)
- Shahram Mesdaghi
- The University of Liverpool, Institute of Systems, Molecular & Integrative Biology, Biosciences Building, Crown Street, Liverpool L69 7ZB, United Kingdom; Computational Biology Facility, MerseyBio, University of Liverpool, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Rebecca M Price
- The University of Liverpool, Institute of Systems, Molecular & Integrative Biology, Biosciences Building, Crown Street, Liverpool L69 7ZB, United Kingdom
| | - Jillian Madine
- The University of Liverpool, Institute of Systems, Molecular & Integrative Biology, Biosciences Building, Crown Street, Liverpool L69 7ZB, United Kingdom.
| | - Daniel J Rigden
- The University of Liverpool, Institute of Systems, Molecular & Integrative Biology, Biosciences Building, Crown Street, Liverpool L69 7ZB, United Kingdom.
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13
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Manasra S, Kajava AV. Why does the first protein repeat often become the only one? J Struct Biol 2023; 215:108014. [PMID: 37567371 DOI: 10.1016/j.jsb.2023.108014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/06/2023] [Accepted: 08/09/2023] [Indexed: 08/13/2023]
Abstract
Proteins with two similar motifs in tandem are one of the most common cases of tandem repeat proteins. The question arises: why is the first emerged repeat frequently fixed in the process of evolution, despite the ample opportunities to continue its multiplication at the DNA level? To answer this question, we systematically analyzed the structure and function of these proteins. Our analysis showed that, in the vast majority of cases, the structural repetitive units have a two-fold (C2) internal symmetry. These closed structures provide an internal structural limitation for the subsequent growth of the repeat number. Frequently, the units "swap" their secondary structure elements with each other. Moreover, the duplicated domains, in contrast to other tandem repeat proteins, form binding sites for small molecules around the axis of C2 symmetry. Thus, the closure of the C2 structures and the emergence of new functional sites around the axis of C2 symmetry provide plausible explanations for why a repeat, once appeared, becomes fixed in the evolutionary process. We have placed these structures within the general structural classification of tandem repeat proteins, classifying them as either Class IV or V depending on the size of the repetitive unit.
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Affiliation(s)
- Simona Manasra
- Institute of Bioengineering, ITMO University, Kronverksky Pr. 49, 197101 Saint Petersburg, Russia
| | - Andrey V Kajava
- Centre de Recherche en Biologie cellulaire de Montpellier (CRBM), UMR 5237 CNRS, Université Montpellier, 1919 Route de Mende, Cedex 5, 34293 Montpellier, France.
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14
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Mier P, Andrade-Navarro MA. Evolutionary Study of Protein Short Tandem Repeats in Protein Families. Biomolecules 2023; 13:1116. [PMID: 37509152 PMCID: PMC10377733 DOI: 10.3390/biom13071116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Tandem repeats in proteins are patterns of residues repeated directly adjacent to each other. The evolution of these repeats can be assessed by using groups of homologous sequences, which can help pointing to events of unit duplication or deletion. High pressure in a protein family for variation of a given type of repeat might point to their function. Here, we propose the analysis of protein families to calculate protein short tandem repeats (pSTRs) in each protein sequence and assess their variability within the family in terms of number of units. To facilitate this analysis, we developed the pSTR tool, a method to analyze the evolution of protein short tandem repeats in a given protein family by pairwise comparisons between evolutionarily related protein sequences. We evaluated pSTR unit number variation in protein families of 12 complete metazoan proteomes. We hypothesize that families with more dynamic ensembles of repeats could reflect particular roles of these repeats in processes that require more adaptability.
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Affiliation(s)
- Pablo Mier
- Faculty of Biology, Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, 55128 Mainz, Germany
| | - Miguel A Andrade-Navarro
- Faculty of Biology, Institute of Organismic and Molecular Evolution, Johannes Gutenberg University Mainz, 55128 Mainz, Germany
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15
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Moreaud L, Viollet S, Urvoas A, Valerio-Lepiniec M, Mesneau A, Li de la Sierra-Gallay I, Miller J, Ouldali M, Marcelot C, Balor S, Soldan V, Meriadec C, Artzner F, Dujardin E, Minard P. Design, synthesis, and characterization of protein origami based on self-assembly of a brick and staple artificial protein pair. Proc Natl Acad Sci U S A 2023; 120:e2218428120. [PMID: 36893280 PMCID: PMC10089216 DOI: 10.1073/pnas.2218428120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/03/2023] [Indexed: 03/11/2023] Open
Abstract
A versatile strategy to create an inducible protein assembly with predefined geometry is demonstrated. The assembly is triggered by a binding protein that staples two identical protein bricks together in a predictable spatial conformation. The brick and staple proteins are designed for mutual directional affinity and engineered by directed evolution from a synthetic modular repeat protein library. As a proof of concept, this article reports on the spontaneous, extremely fast and quantitative self-assembly of two designed alpha-repeat (αRep) brick and staple proteins into macroscopic tubular superhelices at room temperature. Small-angle X-ray scattering (SAXS) and transmission electron microscopy (TEM with staining agent and cryoTEM) elucidate the resulting superhelical arrangement that precisely matches the a priori intended 3D assembly. The highly ordered, macroscopic biomolecular construction sustains temperatures as high as 75 °C thanks to the robust αRep building blocks. Since the α-helices of the brick and staple proteins are highly programmable, their design allows encoding the geometry and chemical surfaces of the final supramolecular protein architecture. This work opens routes toward the design and fabrication of multiscale protein origami with arbitrarily programmed shapes and chemical functions.
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Affiliation(s)
- Laureen Moreaud
- Centre d’Elaboration des Matériaux et d’Etudes Structurales, CNRS UPR8011F-31055, Toulouse, France
| | - Sébastien Viollet
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Agathe Urvoas
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Marie Valerio-Lepiniec
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Agnès Mesneau
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Inès Li de la Sierra-Gallay
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Jessalyn Miller
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
- Department of Chemistry, Emory University, Atlanta, GA30322
| | - Malika Ouldali
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
| | - Cécile Marcelot
- Centre d’Elaboration des Matériaux et d’Etudes Structurales, CNRS UPR8011F-31055, Toulouse, France
| | - Stéphanie Balor
- Microscopie Electronique Intégrative Toulouse, Centre de Biologie Intégrative, Université de Toulouse, CNRS, 31062, Toulouse, France
| | - Vanessa Soldan
- Microscopie Electronique Intégrative Toulouse, Centre de Biologie Intégrative, Université de Toulouse, CNRS, 31062, Toulouse, France
| | - Cristelle Meriadec
- Institut de Physique de Rennes, CNRS, UMR6251, Université de Rennes 1F-35042, Rennes, France
| | - Franck Artzner
- Institut de Physique de Rennes, CNRS, UMR6251, Université de Rennes 1F-35042, Rennes, France
| | - Erik Dujardin
- Centre d’Elaboration des Matériaux et d’Etudes Structurales, CNRS UPR8011F-31055, Toulouse, France
- Laboratoire Interdisciplinaire Carnot de Bourgogne, CNRS, UMR6303, Université de Bourgogne Franche-Comté21000, Dijon, France
| | - Philippe Minard
- CEA, CNRS, Institute for Integrative Biology of the Cell, Université Paris-Saclay91198, Gif-sur-Yvette, France
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16
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Osmanli Z, Falgarone T, Samadova T, Aldrian G, Leclercq J, Shahmuradov I, Kajava AV. The Difference in Structural States between Canonical Proteins and Their Isoforms Established by Proteome-Wide Bioinformatics Analysis. Biomolecules 2022; 12:1610. [PMID: 36358962 PMCID: PMC9687161 DOI: 10.3390/biom12111610] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/14/2022] [Accepted: 10/27/2022] [Indexed: 09/02/2023] Open
Abstract
Alternative splicing is an important means of generating the protein diversity necessary for cellular functions. Hence, there is a growing interest in assessing the structural and functional impact of alternative protein isoforms. Typically, experimental studies are used to determine the structures of the canonical proteins ignoring the other isoforms. Therefore, there is still a large gap between abundant sequence information and meager structural data on these isoforms. During the last decade, significant progress has been achieved in the development of bioinformatics tools for structural and functional annotations of proteins. Moreover, the appearance of the AlphaFold program opened up the possibility to model a large number of high-confidence structures of the isoforms. In this study, using state-of-the-art tools, we performed in silico analysis of 58 eukaryotic proteomes. The evaluated structural states included structured domains, intrinsically disordered regions, aggregation-prone regions, and tandem repeats. Among other things, we found that the isoforms have fewer signal peptides, transmembrane regions, or tandem repeat regions in comparison with their canonical counterparts. This could change protein function and/or cellular localization. The AlphaFold modeling demonstrated that frequently isoforms, having differences with the canonical sequences, still can fold in similar structures though with significant structural rearrangements which can lead to changes of their functions. Based on the modeling, we suggested classification of the structural differences between canonical proteins and isoforms. Altogether, we can conclude that a majority of isoforms, similarly to the canonical proteins are under selective pressure for the functional roles.
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Affiliation(s)
- Zarifa Osmanli
- CRBM, Université de Montpellier, CNRS, 1919 Route de Mende, CEDEX 5, 34293 Montpellier, France
- Institute of Biophysics, ANAS, Baku AZ1141, Azerbaijan
| | - Theo Falgarone
- CRBM, Université de Montpellier, CNRS, 1919 Route de Mende, CEDEX 5, 34293 Montpellier, France
| | | | - Gudrun Aldrian
- CRBM, Université de Montpellier, CNRS, 1919 Route de Mende, CEDEX 5, 34293 Montpellier, France
| | - Jeremy Leclercq
- CRBM, Université de Montpellier, CNRS, 1919 Route de Mende, CEDEX 5, 34293 Montpellier, France
| | | | - Andrey V. Kajava
- CRBM, Université de Montpellier, CNRS, 1919 Route de Mende, CEDEX 5, 34293 Montpellier, France
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17
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Abstract
Repeat proteins are made with tandem copies of similar amino acid stretches that fold into elongated architectures. These proteins constitute excellent model systems to investigate how evolution relates to structure, folding, and function. Here, we propose a scheme to map evolutionary information at the sequence level to a coarse-grained model for repeat-protein folding and use it to investigate the folding of thousands of repeat proteins. We model the energetics by a combination of an inverse Potts-model scheme with an explicit mechanistic model of duplications and deletions of repeats to calculate the evolutionary parameters of the system at the single-residue level. These parameters are used to inform an Ising-like model that allows for the generation of folding curves, apparent domain emergence, and occupation of intermediate states that are highly compatible with experimental data in specific case studies. We analyzed the folding of thousands of natural Ankyrin repeat proteins and found that a multiplicity of folding mechanisms are possible. Fully cooperative all-or-none transitions are obtained for arrays with enough sequence-similar elements and strong interactions between them, while noncooperative element-by-element intermittent folding arose if the elements are dissimilar and the interactions between them are energetically weak. Additionally, we characterized nucleation-propagation and multidomain folding mechanisms. We show that the global stability and cooperativity of the repeating arrays can be predicted from simple sequence scores.
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18
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Pražnikar J, Attygalle NT. Quantitative analysis of visual codewords of a protein distance matrix. PLoS One 2022; 17:e0263566. [PMID: 35120181 PMCID: PMC8815937 DOI: 10.1371/journal.pone.0263566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 01/24/2022] [Indexed: 12/02/2022] Open
Abstract
3D protein structures can be analyzed using a distance matrix calculated as the pairwise distance between all Cα atoms in the protein model. Although researchers have efficiently used distance matrices to classify proteins and find homologous proteins, much less work has been done on quantitative analysis of distance matrix features. Therefore, the distance matrix was analyzed as gray scale image using KAZE feature extractor algorithm with Bag of Visual Words model. In this study, each protein was represented as a histogram of visual codewords. The analysis showed that a very small number of codewords (~1%) have a high relative frequency (> 0.25) and that the majority of codewords have a relative frequency around 0.05. We have also shown that there is a relationship between the frequency of codewords and the position of the features in a distance matrix. The codewords that are more frequent are located closer to the main diagonal. Less frequent codewords, on the other hand, are located in the corners of the distance matrix, far from the main diagonal. Moreover, the analysis showed a correlation between the number of unique codewords and the 3D repeats in the protein structure. The solenoid and tandem repeats proteins have a significantly lower number of unique codewords than the globular proteins. Finally, the codeword histograms and Support Vector Machine (SVM) classifier were used to classify solenoid and globular proteins. The result showed that the SVM classifier fed with codeword histograms correctly classified 352 out of 354 proteins.
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Affiliation(s)
- Jure Pražnikar
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia
- Department of Biochemistry, Molecular and Structural Biology, Institute Jožef Stefan, Ljubljana, Slovenia
| | - Nuwan Tharanga Attygalle
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia
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19
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Bevilacqua M, Paladin L, Tosatto SCE, Piovesan D. ProSeqViewer: an interactive, responsive and efficient TypeScript library for visualization of sequences and alignments in web applications. Bioinformatics 2022; 38:1129-1130. [PMID: 34788797 DOI: 10.1093/bioinformatics/btab764] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/13/2021] [Accepted: 11/10/2021] [Indexed: 02/03/2023] Open
Abstract
SUMMARY Biological data is ever-increasing in amount and complexity. The mapping of this data to biological entities such as nucleotide and amino acid sequences supports biological data analysis, classification and prediction. Sequence alignments and comparison allow the transfer of knowledge to evolutionary-related entities, the mapping of functional domains, the identification of binding and modification sites. To support these types of studies, we developed ProSeqViewer, a tool to visualize annotation on single sequences and multiple sequence alignments. This state-of-the-art multifunctional library was developed as a modular component to be integrated into static or dynamic web resources and support intuitive visualization of sequence features. ProseSeqViewer is extremely lightweight, fast, interactive, dynamic, responsive and works at any screen size. It generates pure HTML which is compatible with any browser and operating system. ProSeqViewer can exchange events with other visualization components and is already used by multiple biological databases. AVAILABILITY AND IMPLEMENTATION ProSeqViewer is an open-source TypeScript library compatible with state-of-the-art website environments. The source code and an extensive documentation including use cases are available from the URL: https://github.com/BioComputingUP/ProSeqViewer.
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Affiliation(s)
- Martina Bevilacqua
- Department of Biomedical Sciences, University of Padua, 35121 Padova, Italy
| | - Lisanna Paladin
- Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Silvio C E Tosatto
- Department of Biomedical Sciences, University of Padua, 35121 Padova, Italy
| | - Damiano Piovesan
- Department of Biomedical Sciences, University of Padua, 35121 Padova, Italy
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20
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Xiao X, Zhang CY, Zhang Z, Hu Z, Li M, Li T. Revisiting tandem repeats in psychiatric disorders from perspectives of genetics, physiology, and brain evolution. Mol Psychiatry 2022; 27:466-475. [PMID: 34650204 DOI: 10.1038/s41380-021-01329-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/16/2021] [Accepted: 09/28/2021] [Indexed: 01/28/2023]
Abstract
Genome-wide association studies (GWASs) have revealed substantial genetic components comprised of single nucleotide polymorphisms (SNPs) in the heritable risk of psychiatric disorders. However, genetic risk factors not covered by GWAS also play pivotal roles in these illnesses. Tandem repeats, which are likely functional but frequently overlooked by GWAS, may account for an important proportion in the "missing heritability" of psychiatric disorders. Despite difficulties in characterizing and quantifying tandem repeats in the genome, studies have been carried out in an attempt to describe impact of tandem repeats on gene regulation and human phenotypes. In this review, we have introduced recent research progress regarding the genomic distribution and regulatory mechanisms of tandem repeats. We have also summarized the current knowledge of the genetic architecture and biological underpinnings of psychiatric disorders brought by studies of tandem repeats. These findings suggest that tandem repeats, in candidate psychiatric risk genes or in different levels of linkage disequilibrium (LD) with psychiatric GWAS SNPs and haplotypes, may modulate biological phenotypes related to psychiatric disorders (e.g., cognitive function and brain physiology) through regulating alternative splicing, promoter activity, enhancer activity and so on. In addition, many tandem repeats undergo tight natural selection in the human lineage, and likely exert crucial roles in human brain evolution. Taken together, the putative roles of tandem repeats in the pathogenesis of psychiatric disorders is strongly implicated, and using examples from previous literatures, we wish to call for further attention to tandem repeats in the post-GWAS era of psychiatric disorders.
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Affiliation(s)
- Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Zhuohua Zhang
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Zhonghua Hu
- Institute of Molecular Precision Medicine and Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China. .,Hunan Key Laboratory of Animal Models for Human Diseases, School of Life Sciences, Central South University, Changsha, Hunan, China. .,Eye Center of Xiangya Hospital and Hunan Key Laboratory of Ophthalmology, Central South University, Changsha, Hunan, China. .,National Clinical Research Center on Mental Disorders, Changsha, Hunan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. .,Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangzhou, China.
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21
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Abstract
Abstract
Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein–protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work investigates the energy landscape of representative proteins of this class made up of 3, 4 and 6 ANK repeats using the energy-landscape visualisation method (ELViM). By combining biased and unbiased coarse-grained molecular dynamics AWSEM simulations that sample conformations along the folding trajectories with the ELViM structure-based phase space, one finds a three-dimensional representation of the globally funnelled energy surface. In this representation, it is possible to delineate distinct folding pathways. We show that ELViMs can project, in a natural way, the intricacies of the highly dimensional energy landscapes encoded by the highly symmetric ankyrin repeat proteins into useful low-dimensional representations. These projections can discriminate between multiplicities of specific parallel folding mechanisms that otherwise can be hidden in oversimplified depictions.
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22
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Chakrabarty B, Parekh N. DbStRiPs: Database of structural repeats in proteins. Protein Sci 2022; 31:23-36. [PMID: 33641184 PMCID: PMC8740836 DOI: 10.1002/pro.4052] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/11/2021] [Accepted: 02/15/2021] [Indexed: 01/03/2023]
Abstract
Recent interest in repeat proteins has arisen due to stable structural folds, high evolutionary conservation and repertoire of functions provided by these proteins. However, repeat proteins are poorly characterized because of high sequence variation between repeating units and structure-based identification and classification of repeats is desirable. Using a robust network-based pipeline, manual curation and Kajava's structure-based classification schema, we have developed a database of tandem structural repeats, Database of Structural Repeats in Proteins (DbStRiPs). A unique feature of this database is that available knowledge on sequence repeat families is incorporated by mapping Pfam classification scheme onto structural classification. Integration of sequence and structure-based classifications help in identifying different functional groups within the same structural subclass, leading to refinement in the annotation of repeat proteins. Analysis of complete Protein Data Bank revealed 16,472 repeat annotations in 15,141 protein chains, one previously uncharacterized novel protein repeat family (PRF), named left-handed beta helix, and 33 protein repeat clusters (PRCs). Based on their unique structural motif, ~79% of these repeat proteins are classified in one of the 14 PRFs or 33 PRCs, and the remaining are grouped as unclassified repeat proteins. Each repeat protein is provided with a detailed annotation in DbStRiPs that includes start and end boundaries of repeating units, copy number, secondary and tertiary structure view, repeat class/subclass, disease association, MSA of repeating units and cross-references to various protein pattern databases, human protein atlas and interaction resources. DbStRiPs provides easy search and download options to high-quality annotations of structural repeat proteins (URL: http://bioinf.iiit.ac.in/dbstrips/).
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Affiliation(s)
- Broto Chakrabarty
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information TechnologyHyderabadIndia
| | - Nita Parekh
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information TechnologyHyderabadIndia
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23
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Hallinan JP, Doyle LA, Shen BW, Gewe MM, Takushi B, Kennedy MA, Friend D, Roberts JM, Bradley P, Stoddard BL. Design of functionalised circular tandem repeat proteins with longer repeat topologies and enhanced subunit contact surfaces. Commun Biol 2021; 4:1240. [PMID: 34716407 PMCID: PMC8556268 DOI: 10.1038/s42003-021-02766-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 10/07/2021] [Indexed: 01/16/2023] Open
Abstract
Circular tandem repeat proteins (‘cTRPs’) are de novo designed protein scaffolds (in this and prior studies, based on antiparallel two-helix bundles) that contain repeated protein sequences and structural motifs and form closed circular structures. They can display significant stability and solubility, a wide range of sizes, and are useful as protein display particles for biotechnology applications. However, cTRPs also demonstrate inefficient self-assembly from smaller subunits. In this study, we describe a new generation of cTRPs, with longer repeats and increased interaction surfaces, which enhanced the self-assembly of two significantly different sizes of homotrimeric constructs. Finally, we demonstrated functionalization of these constructs with (1) a hexameric array of peptide-binding SH2 domains, and (2) a trimeric array of anti-SARS CoV-2 VHH domains. The latter proved capable of sub-nanomolar binding affinities towards the viral receptor binding domain and potent viral neutralization function. Jazmine Hallinan et al. report the development of a new generation of circular tandem repeat proteins with enhanced self-assembly. Functionalisation of these constructs with SARS CoV-2 VHH domains resulted in sub-nanomolar binding affinity to the viral receptor binding domain.
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Affiliation(s)
- Jazmine P Hallinan
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Lindsey A Doyle
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Betty W Shen
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Mesfin M Gewe
- Lumen Bioscience Inc., 1441 North 34th Street, Seattle, WA, 98103, USA
| | - Brittany Takushi
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Madison A Kennedy
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - Della Friend
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA
| | - James M Roberts
- Lumen Bioscience Inc., 1441 North 34th Street, Seattle, WA, 98103, USA
| | - Philip Bradley
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA. .,Division of Public Health Sciences and Program in Computational Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N., Seattle, WA, 98009, USA.
| | - Barry L Stoddard
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. North, Seattle, WA, 98109, USA.
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24
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Deryusheva EI, Machulin AV, Galzitskaya OV. Structural, Functional, and Evolutionary Characteristics of Proteins with Repeats. Mol Biol 2021. [DOI: 10.1134/s0026893321040038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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25
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Sanchez-Pulido L, Ponting CP. Extending the Horizon of Homology Detection with Coevolution-based Structure Prediction. J Mol Biol 2021; 433:167106. [PMID: 34139218 PMCID: PMC8527833 DOI: 10.1016/j.jmb.2021.167106] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 12/12/2022]
Abstract
Traditional sequence analysis algorithms fail to identify distant homologies when they lie beyond a detection horizon. In this review, we discuss how co-evolution-based contact and distance prediction methods are pushing back this homology detection horizon, thereby yielding new functional insights and experimentally testable hypotheses. Based on correlated substitutions, these methods divine three-dimensional constraints among amino acids in protein sequences that were previously devoid of all annotated domains and repeats. The new algorithms discern hidden structure in an otherwise featureless sequence landscape. Their revelatory impact promises to be as profound as the use, by archaeologists, of ground-penetrating radar to discern long-hidden, subterranean structures. As examples of this, we describe how triplicated structures reflecting longin domains in MON1A-like proteins, or UVR-like repeats in DISC1, emerge from their predicted contact and distance maps. These methods also help to resolve structures that do not conform to a "beads-on-a-string" model of protein domains. In one such example, we describe CFAP298 whose ubiquitin-like domain was previously challenging to perceive owing to a large sequence insertion within it. More generally, the new algorithms permit an easier appreciation of domain families and folds whose evolution involved structural insertion or rearrangement. As we exemplify with α1-antitrypsin, coevolution-based predicted contacts may also yield insights into protein dynamics and conformational change. This new combination of structure prediction (using innovative co-evolution based methods) and homology inference (using more traditional sequence analysis approaches) shows great promise for bringing into view a sea of evolutionary relationships that had hitherto lain far beyond the horizon of homology detection.
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Affiliation(s)
- Luis Sanchez-Pulido
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
| | - Chris P Ponting
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
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26
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Izert MA, Szybowska PE, Górna MW, Merski M. The Effect of Mutations in the TPR and Ankyrin Families of Alpha Solenoid Repeat Proteins. FRONTIERS IN BIOINFORMATICS 2021; 1:696368. [PMID: 36303725 PMCID: PMC9581033 DOI: 10.3389/fbinf.2021.696368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 06/22/2021] [Indexed: 11/20/2022] Open
Abstract
Protein repeats are short, highly similar peptide motifs that occur several times within a single protein, for example the TPR and Ankyrin repeats. Understanding the role of mutation in these proteins is complicated by the competing facts that 1) the repeats are much more restricted to a set sequence than non-repeat proteins, so mutations should be harmful much more often because there are more residues that are heavily restricted due to the need of the sequence to repeat and 2) the symmetry of the repeats in allows the distribution of functional contributions over a number of residues so that sometimes no specific site is singularly responsible for function (unlike enzymatic active site catalytic residues). To address this issue, we review the effects of mutations in a number of natural repeat proteins from the tetratricopeptide and Ankyrin repeat families. We find that mutations are context dependent. Some mutations are indeed highly disruptive to the function of the protein repeats while mutations in identical positions in other repeats in the same protein have little to no effect on structure or function.
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Affiliation(s)
| | | | | | - Matthew Merski
- *Correspondence: Maria Wiktoria Górna, ; Matthew Merski,
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27
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Delucchi M, Näf P, Bliven S, Anisimova M. TRAL 2.0: Tandem Repeat Detection With Circular Profile Hidden Markov Models and Evolutionary Aligner. FRONTIERS IN BIOINFORMATICS 2021; 1:691865. [PMID: 36303789 PMCID: PMC9581039 DOI: 10.3389/fbinf.2021.691865] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/11/2021] [Indexed: 11/13/2022] Open
Abstract
The Tandem Repeat Annotation Library (TRAL) focuses on analyzing tandem repeat units in genomic sequences. TRAL can integrate and harmonize tandem repeat annotations from a large number of external tools, and provides a statistical model for evaluating and filtering the detected repeats. TRAL version 2.0 includes new features such as a module for identifying repeats from circular profile hidden Markov models, a new repeat alignment method based on the progressive Poisson Indel Process, an improved installation procedure and a docker container. TRAL is an open-source Python 3 library and is available, together with documentation and tutorials viavital-it.ch/software/tral.
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Affiliation(s)
- Matteo Delucchi
- Institute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Paulina Näf
- Institute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Spencer Bliven
- Institute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Laboratory for Scientific Computing and Modelling, Paul Scherrer Institute, Villigen PSI, Villigen, Switzerland
| | - Maria Anisimova
- Institute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland
- SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
- *Correspondence: Maria Anisimova,
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28
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Gidley F, Parmeggiani F. Repeat proteins: designing new shapes and functions for solenoid folds. Curr Opin Struct Biol 2021; 68:208-214. [PMID: 33721772 DOI: 10.1016/j.sbi.2021.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 01/31/2021] [Accepted: 02/01/2021] [Indexed: 10/21/2022]
Abstract
The modular nature of repeat proteins has inspired the design of regular and completely novel sequences and structures. Research in the past years has provided a broad set of design approaches and new repeat proteins that have found applications in molecular recognition, taking advantage of the natural ability of some of these families to bind proteins, peptides and nucleic acids. Here, we provide an overview on the recent trends in design of repeat proteins, particularly solenoid folds, and their applications. By exploiting the intrinsic modularity of repeats, new architectures have been designed that combine different types of repeat, are easily scalable by changing the number of repeats and can be quickly generated by using existing modular building blocks.
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Affiliation(s)
- Frances Gidley
- School of Chemistry, School of Biochemistry, Bristol Biodesign Institute, University of Bristol, United Kingdom
| | - Fabio Parmeggiani
- School of Chemistry, School of Biochemistry, Bristol Biodesign Institute, University of Bristol, United Kingdom.
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29
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Monzon AM, Bonato P, Necci M, Tosatto SCE, Piovesan D. FLIPPER: Predicting and Characterizing Linear Interacting Peptides in the Protein Data Bank. J Mol Biol 2021; 433:166900. [PMID: 33647288 DOI: 10.1016/j.jmb.2021.166900] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/22/2021] [Accepted: 02/22/2021] [Indexed: 12/31/2022]
Abstract
A large fraction of peptides or protein regions are disordered in isolation and fold upon binding. These regions, also called MoRFs, SLiMs or LIPs, are often associated with signaling and regulation processes. However, despite their importance, only a limited number of examples are available in public databases and their automatic detection at the proteome level is problematic. Here we present FLIPPER, an automatic method for the detection of structurally linear sub-regions or peptides that interact with another chain in a protein complex. FLIPPER is a random forest classification that takes the protein structure as input and provides the propensity of each amino acid to be part of a LIP region. Models are built taking into consideration structural features such as intra- and inter-chain contacts, secondary structure, solvent accessibility in both bound and unbound state, structural linearity and chain length. FLIPPER is accurate when evaluated on non-redundant independent datasets, 99% precision and 99% sensitivity on PixelDB-25 and 87% precision and 88% sensitivity on DIBS-25. Finally, we used FLIPPER to process the entire Protein Data Bank and identified different classes of LIPs based on different binding modes and partner molecules. We provide a detailed description of these LIP categories and show that a large fraction of these regions are not detected by disorder predictors. All FLIPPER predictions are integrated in the MobiDB 4.0 database.
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Affiliation(s)
| | - Paolo Bonato
- Dept. of Biomedical Sciences, University of Padua, Via Ugo Bassi 58/B, Padua 35121, Italy
| | - Marco Necci
- Dept. of Biomedical Sciences, University of Padua, Via Ugo Bassi 58/B, Padua 35121, Italy
| | - Silvio C E Tosatto
- Dept. of Biomedical Sciences, University of Padua, Via Ugo Bassi 58/B, Padua 35121, Italy.
| | - Damiano Piovesan
- Dept. of Biomedical Sciences, University of Padua, Via Ugo Bassi 58/B, Padua 35121, Italy
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30
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Kamel M, Kastano K, Mier P, Andrade-Navarro MA. REP2: A Web Server to Detect Common Tandem Repeats in Protein Sequences. J Mol Biol 2021; 433:166895. [PMID: 33972020 DOI: 10.1016/j.jmb.2021.166895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 02/01/2021] [Accepted: 02/21/2021] [Indexed: 12/13/2022]
Abstract
Ensembles of tandem repeats (TRs) in protein sequences expand rapidly to form domains well suited for interactions with proteins. For this reason, they are relatively frequent. Some TRs have known structures and therefore it is advantageous to predict their presence in a protein sequence. However, since most TRs diverge quickly, their detection by classical sequence comparison algorithms is not very accurate. Previously, we developed a method and a web server that used curated profiles and thresholds for the detection of 11 common TRs. Here we present a new web server (REP2) that allows the analysis of TRs in both individual and aligned sequences. We provide currently precomputed analyses for a selection of 78 UniProt reference proteomes. We illustrate how these data can be used to study the evolution of TRs using comparative genomics. REP2 can be accessed at http://cbdm-01.zdv.uni-mainz.de/~munoz/rep/.
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Affiliation(s)
- Mohamed Kamel
- Department of Computer Science, Faculty of Mathematics and Informatics, University of M'sila, 28000 M'sila, Algeria; Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany
| | - Kristina Kastano
- Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany
| | - Pablo Mier
- Faculty of Biology, Johannes Gutenberg University of Mainz, 55128 Mainz, Germany
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31
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Rigden DJ, Fernández XM. The 2021 Nucleic Acids Research database issue and the online molecular biology database collection. Nucleic Acids Res 2021; 49:D1-D9. [PMID: 33396976 PMCID: PMC7778882 DOI: 10.1093/nar/gkaa1216] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The 2021 Nucleic Acids Research database Issue contains 189 papers spanning a wide range of biological fields and investigation. It includes 89 papers reporting on new databases and 90 covering recent changes to resources previously published in the Issue. A further ten are updates on databases most recently published elsewhere. Seven new databases focus on COVID-19 and SARS-CoV-2 and many others offer resources for studying the virus. Major returning nucleic acid databases include NONCODE, Rfam and RNAcentral. Protein family and domain databases include COG, Pfam, SMART and Panther. Protein structures are covered by RCSB PDB and dispersed proteins by PED and MobiDB. In metabolism and signalling, STRING, KEGG and WikiPathways are featured, along with returning KLIFS and new DKK and KinaseMD, all focused on kinases. IMG/M and IMG/VR update in the microbial and viral genome resources section, while human and model organism genomics resources include Flybase, Ensembl and UCSC Genome Browser. Cancer studies are covered by updates from canSAR and PINA, as well as newcomers CNCdatabase and Oncovar for cancer drivers. Plant comparative genomics is catered for by updates from Gramene and GreenPhylDB. The entire Database Issue is freely available online on the Nucleic Acids Research website (https://academic.oup.com/nar). The NAR online Molecular Biology Database Collection has been substantially updated, revisiting nearly 1000 entries, adding 90 new resources and eliminating 86 obsolete databases, bringing the current total to 1641 databases. It is available at https://www.oxfordjournals.org/nar/database/c/.
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Affiliation(s)
- Daniel J Rigden
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
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