1
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Ni F, Wu C, Xu P, Wang P, Fortin Y, Arbour M, Masson L, L’Abbé D, Acel A, Gosselin M, Lenferink AE. Unique epitope-antibody interactions in the intrinsically disordered proteoglycan-like domain of human carbonic anhydrase IX defined by high-resolution NMR combined with yeast surface display. MAbs 2023; 15:2248672. [PMID: 37622732 PMCID: PMC10461516 DOI: 10.1080/19420862.2023.2248672] [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: 12/08/2022] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 08/26/2023] Open
Abstract
Carbonic anhydrase (CA)-IX is an extracellular enzyme that is essential in the adaptation of tumor cells to their increasingly more hypoxic and acidic microenvironment. Within the family of carbonic anhydrases, CA-IX is unique in that it is the only CA with an N-terminal intrinsically disordered region (IDR) containing a proteoglycan (PG)-like domain. This PG-like IDR has been described to be instrumental in CA-IX's enzyme activity, as well as tumor cell motility and invasion. We have characterized the antibody-epitope interactions of two novel and unique antibodies (11H9 and 12H8) that are specific for the human CA-IX's IDR. Binding interactions of these antibodies to the intact IDR were studied by surface plasmon resonance and high-resolution nuclear magnetic resonance (NMR) spectroscopy, while the specific epitopes were determined by both NMR and yeast surface display (YSD). Our data show that 12H8 binds to the N-terminus of CA-IX, while 11H9 has a high affinity for an epitope located in the central region of the IDR containing three GEEDLP repeats in a manner that is different from the previously described M75 antibody. Titration NMR spectroscopy using CA-IX's entire IDR in addition identified a secondary epitope of 11H9 at the beginning of the PG-like domain that remains exposed and available for further binding events after the engagement at its primary epitope at the center of the PG-like domain. Transverse relaxation optimized NMR spectroscopy of 11H9-F(Ab) in complex with the CA-IX IDR outlines structural rigidification of a linear epitope, while the rest of the IDR remains largely unstructured upon complex formation. This study illustrates how high-resolution NMR and YSD are used as complementary tools for a comprehensive characterization of antibody-epitope interactions involving intrinsically unstructured antigen domains with highly repetitive sequences.
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Affiliation(s)
- Feng Ni
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Cunle Wu
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Ping Xu
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Ping Wang
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Yves Fortin
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Melanie Arbour
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Luke Masson
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Denis L’Abbé
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Andrea Acel
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Mylene Gosselin
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
| | - Anne E.G. Lenferink
- Human Health Therapeutics Research Centre, National Research Council Canada, Montreal, Quebec, Canada
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Piersimoni L, Abd El Malek M, Bhatia T, Bender J, Brankatschk C, Calvo Sánchez J, Dayhoff GW, Di Ianni A, Figueroa Parra JO, Garcia-Martinez D, Hesselbarth J, Köppen J, Lauth LM, Lippik L, Machner L, Sachan S, Schmidt L, Selle R, Skalidis I, Sorokin O, Ubbiali D, Voigt B, Wedler A, Wei AAJ, Zorn P, Dunker AK, Köhn M, Sinz A, Uversky VN. Lighting up Nobel Prize-winning studies with protein intrinsic disorder. Cell Mol Life Sci 2022; 79:449. [PMID: 35882686 PMCID: PMC11072364 DOI: 10.1007/s00018-022-04468-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/18/2022] [Accepted: 07/04/2022] [Indexed: 11/03/2022]
Abstract
Intrinsically disordered proteins and regions (IDPs and IDRs) and their importance in biology are becoming increasingly recognized in biology, biochemistry, molecular biology and chemistry textbooks, as well as in current protein science and structural biology curricula. We argue that the sequence → dynamic conformational ensemble → function principle is of equal importance as the classical sequence → structure → function paradigm. To highlight this point, we describe the IDPs and/or IDRs behind the discoveries associated with 17 Nobel Prizes, 11 in Physiology or Medicine and 6 in Chemistry. The Nobel Laureates themselves did not always mention that the proteins underlying the phenomena investigated in their award-winning studies are in fact IDPs or contain IDRs. In several cases, IDP- or IDR-based molecular functions have been elucidated, while in other instances, it is recognized that the respective protein(s) contain IDRs, but the specific IDR-based molecular functions have yet to be determined. To highlight the importance of IDPs and IDRs as general principle in biology, we present here illustrative examples of IDPs/IDRs in Nobel Prize-winning mechanisms and processes.
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Affiliation(s)
- Lolita Piersimoni
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Marina Abd El Malek
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Twinkle Bhatia
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Julian Bender
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Christin Brankatschk
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Jaime Calvo Sánchez
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Guy W Dayhoff
- Department of Chemistry, College of Art and Sciences, University of South Florida, Tampa, FL, 33620, USA
| | - Alessio Di Ianni
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | | | - Dailen Garcia-Martinez
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Julia Hesselbarth
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Janett Köppen
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Luca M Lauth
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Laurin Lippik
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Lisa Machner
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Shubhra Sachan
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Lisa Schmidt
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Robin Selle
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Ioannis Skalidis
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Oleksandr Sorokin
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Daniele Ubbiali
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Bruno Voigt
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Alice Wedler
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Alan An Jung Wei
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Peter Zorn
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Alan Keith Dunker
- Department of Biochemistry and Molecular Biology, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Marcel Köhn
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
| | - Andrea Sinz
- Research Training Group RTG2467, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
| | - Vladimir N Uversky
- Department of Molecular Medicine, USF Health Byrd Alzheimer's Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
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Bondos SE, Dunker AK, Uversky VN. On the roles of intrinsically disordered proteins and regions in cell communication and signaling. Cell Commun Signal 2021; 19:88. [PMID: 34461937 PMCID: PMC8404256 DOI: 10.1186/s12964-021-00774-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
For proteins, the sequence → structure → function paradigm applies primarily to enzymes, transmembrane proteins, and signaling domains. This paradigm is not universal, but rather, in addition to structured proteins, intrinsically disordered proteins and regions (IDPs and IDRs) also carry out crucial biological functions. For these proteins, the sequence → IDP/IDR ensemble → function paradigm applies primarily to signaling and regulatory proteins and regions. Often, in order to carry out function, IDPs or IDRs cooperatively interact, either intra- or inter-molecularly, with structured proteins or other IDPs or intermolecularly with nucleic acids. In this IDP/IDR thematic collection published in Cell Communication and Signaling, thirteen articles are presented that describe IDP/IDR signaling molecules from a variety of organisms from humans to fruit flies and tardigrades ("water bears") and that describe how these proteins and regions contribute to the function and regulation of cell signaling. Collectively, these papers exhibit the diverse roles of disorder in responding to a wide range of signals as to orchestrate an array of organismal processes. They also show that disorder contributes to signaling in a broad spectrum of species, ranging from micro-organisms to plants and animals.
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Affiliation(s)
- Sarah E Bondos
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX, 77843, USA.
| | - A Keith Dunker
- Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
- Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Pushchino, Russia.
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Ding C, Wang S, Zhang Z. Integrating an Enhanced Sampling Method and Small-Angle X-Ray Scattering to Study Intrinsically Disordered Proteins. Front Mol Biosci 2021; 8:621128. [PMID: 34150843 PMCID: PMC8213455 DOI: 10.3389/fmolb.2021.621128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 02/08/2021] [Indexed: 11/23/2022] Open
Abstract
Intrinsically disordered proteins (IDPs) have been paid more and more attention over the past decades because they are involved in a multitude of crucial biological functions. Despite their functional importance, IDPs are generally difficult to investigate because they are very flexible and lack stable structures. Computer simulation may serve as a useful tool in studying IDPs. With the development of computer software and hardware, computational methods, such as molecular dynamics (MD) simulations, are popularly used. However, there is a sampling problem in MD simulations. In this work, this issue is investigated using an IDP called unique long region 11 (UL11), which is the conserved outer tegument component from herpes simplex virus 1. After choosing a proper force field and water model that is suitable for simulating IDPs, integrative modeling by combining an enhanced sampling method and experimental data like small-angle X-ray scattering (SAXS) is utilized to efficiently sample the conformations of UL11. The simulation results are in good agreement with experimental data. This work may provide a general protocol to study structural ensembles of IDPs.
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Affiliation(s)
- Chengtao Ding
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, National Science Center for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | | | - Zhiyong Zhang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, National Science Center for Physical Sciences at Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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5
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Yang J, Gao M, Xiong J, Su Z, Huang Y. Features of molecular recognition of intrinsically disordered proteins via coupled folding and binding. Protein Sci 2019; 28:1952-1965. [PMID: 31441158 PMCID: PMC6798136 DOI: 10.1002/pro.3718] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/16/2019] [Accepted: 08/20/2019] [Indexed: 12/12/2022]
Abstract
The sequence-structure-function paradigm of proteins has been revolutionized by the discovery of intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). In contrast to traditional ordered proteins, IDPs/IDRs are unstructured under physiological conditions. The absence of well-defined three-dimensional structures in the free state of IDPs/IDRs is fundamental to their function. Folding upon binding is an important mode of molecular recognition for IDPs/IDRs. While great efforts have been devoted to investigating the complex structures and binding kinetics and affinities, our knowledge on the binding mechanisms of IDPs/IDRs remains very limited. Here, we review recent advances on the binding mechanisms of IDPs/IDRs. The structures and kinetic parameters of IDPs/IDRs can vary greatly, and the binding mechanisms can be highly dependent on the structural properties of IDPs/IDRs. IDPs/IDRs can employ various combinations of conformational selection and induced fit in a binding process, which can be templated by the target and/or encoded by the IDP/IDR. Further studies should provide deeper insights into the molecular recognition of IDPs/IDRs and enable the rational design of IDP/IDR binding mechanisms in the future.
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Affiliation(s)
- Jing Yang
- Department of Biological Engineering and Key Laboratory of Industrial Fermentation (Ministry of Education)Hubei University of TechnologyWuhanHubeiChina
- Institute of Biomedical and Pharmaceutical SciencesHubei University of TechnologyWuhanHubeiChina
| | - Meng Gao
- Department of Biological Engineering and Key Laboratory of Industrial Fermentation (Ministry of Education)Hubei University of TechnologyWuhanHubeiChina
- Institute of Biomedical and Pharmaceutical SciencesHubei University of TechnologyWuhanHubeiChina
| | - Junwen Xiong
- Department of Biological Engineering and Key Laboratory of Industrial Fermentation (Ministry of Education)Hubei University of TechnologyWuhanHubeiChina
- Institute of Biomedical and Pharmaceutical SciencesHubei University of TechnologyWuhanHubeiChina
| | - Zhengding Su
- Department of Biological Engineering and Key Laboratory of Industrial Fermentation (Ministry of Education)Hubei University of TechnologyWuhanHubeiChina
- Institute of Biomedical and Pharmaceutical SciencesHubei University of TechnologyWuhanHubeiChina
| | - Yongqi Huang
- Department of Biological Engineering and Key Laboratory of Industrial Fermentation (Ministry of Education)Hubei University of TechnologyWuhanHubeiChina
- Institute of Biomedical and Pharmaceutical SciencesHubei University of TechnologyWuhanHubeiChina
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6
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Structure Determination by Single-Particle Cryo-Electron Microscopy: Only the Sky (and Intrinsic Disorder) is the Limit. Int J Mol Sci 2019; 20:ijms20174186. [PMID: 31461845 PMCID: PMC6747279 DOI: 10.3390/ijms20174186] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 08/22/2019] [Accepted: 08/26/2019] [Indexed: 12/22/2022] Open
Abstract
Traditionally, X-ray crystallography and NMR spectroscopy represent major workhorses of structural biologists, with the lion share of protein structures reported in protein data bank (PDB) being generated by these powerful techniques. Despite their wide utilization in protein structure determination, these two techniques have logical limitations, with X-ray crystallography being unsuitable for the analysis of highly dynamic structures and with NMR spectroscopy being restricted to the analysis of relatively small proteins. In recent years, we have witnessed an explosive development of the techniques based on Cryo-electron microscopy (Cryo-EM) for structural characterization of biological molecules. In fact, single-particle Cryo-EM is a special niche as it is a technique of choice for the structural analysis of large, structurally heterogeneous, and dynamic complexes. Here, sub-nanometer atomic resolution can be achieved (i.e., resolution below 10 Å) via single-particle imaging of non-crystalline specimens, with accurate 3D reconstruction being generated based on the computational averaging of multiple 2D projection images of the same particle that was frozen rapidly in solution. We provide here a brief overview of single-particle Cryo-EM and show how Cryo-EM has revolutionized structural investigations of membrane proteins. We also show that the presence of intrinsically disordered or flexible regions in a target protein represents one of the major limitations of this promising technique.
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7
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Pattaro Júnior JR, Caruso ÍP, de Lima Neto QA, Duarte Junior FF, dos Santos Rando F, Gerhardt ECM, Fernandez MA, Seixas FAV. Biophysical characterization and molecular phylogeny of human KIN protein. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2019; 48:645-657. [DOI: 10.1007/s00249-019-01390-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/07/2019] [Accepted: 07/06/2019] [Indexed: 11/24/2022]
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Abstract
In this issue of Structure, Tsirigotaki et al. (2018) use bioinformatics and biophysical tools to demonstrate that many secreted proteins form long-lived, loosely packed folding intermediates. This delayed folding correlates with elevated disorder and reduced hydrophobicity compared to structured cytosolic proteins and is often stabilized by signal peptides by yet to be determined mechanisms.
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Affiliation(s)
- Jianhong Zhou
- Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - A Keith Dunker
- Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
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9
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Tsirigotaki A, Chatzi KE, Koukaki M, De Geyter J, Portaliou AG, Orfanoudaki G, Sardis MF, Trelle MB, Jørgensen TJD, Karamanou S, Economou A. Long-Lived Folding Intermediates Predominate the Targeting-Competent Secretome. Structure 2018; 26:695-707.e5. [PMID: 29606594 DOI: 10.1016/j.str.2018.03.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 02/02/2018] [Accepted: 03/08/2018] [Indexed: 10/17/2022]
Abstract
Secretory preproteins carry signal peptides fused amino-terminally to mature domains. They are post-translationally targeted to cross the plasma membrane in non-folded states with the help of translocases, and fold only at their final destinations. The mechanism of this process of postponed folding is unknown, but is generally attributed to signal peptides and chaperones. We herein demonstrate that, during targeting, most mature domains maintain loosely packed folding intermediates. These largely soluble states are signal peptide independent and essential for translocase recognition. These intermediates are promoted by mature domain features: residue composition, elevated disorder, and reduced hydrophobicity. Consequently, a mature domain folds slower than its cytoplasmic structural homolog. Some mature domains could not evolve stable, loose intermediates, and hence depend on signal peptides for slow folding to the detriment of solubility. These unique features of secretory proteins impact our understanding of protein trafficking, folding, and aggregation, and thus place them in a distinct class.
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Affiliation(s)
- Alexandra Tsirigotaki
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Katerina E Chatzi
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Marina Koukaki
- Institute of Molecular Biology and Biotechnology, FoRTH, University of Crete, 70013 Heraklion, Crete, Greece
| | - Jozefien De Geyter
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Athina G Portaliou
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Georgia Orfanoudaki
- Institute of Molecular Biology and Biotechnology, FoRTH, University of Crete, 70013 Heraklion, Crete, Greece
| | - Marios Frantzeskos Sardis
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Morten Beck Trelle
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense M, Denmark
| | - Thomas J D Jørgensen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense M, Denmark
| | - Spyridoula Karamanou
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium
| | - Anastassios Economou
- KU Leuven, Department of Microbiology and Immunology, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, 3000 Leuven, Belgium.
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Saravanan KM, Dunker AK, Krishnaswamy S. Sequence fingerprints distinguish erroneous from correct predictions of intrinsically disordered protein regions. J Biomol Struct Dyn 2017; 36:4338-4351. [PMID: 29228892 DOI: 10.1080/07391102.2017.1415822] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
More than 60 prediction methods for intrinsically disordered proteins (IDPs) have been developed over the years, many of which are accessible on the World Wide Web. Nearly, all of these predictors give balanced accuracies in the ~65%-~80% range. Since predictors are not perfect, further studies are required to uncover the role of amino acid residues in native IDP as compared to predicted IDP regions. In the present work, we make use of sequences of 100% predicted IDP regions, false positive disorder predictions, and experimentally determined IDP regions to distinguish the characteristics of native versus predicted IDP regions. A higher occurrence of asparagine is observed in sequences of native IDP regions but not in sequences of false positive predictions of IDP regions. The occurrences of certain combinations of amino acids at the pentapeptide level provide a distinguishing feature in the IDPs with respect to globular proteins. The distinguishing features presented in this paper provide insights into the sequence fingerprints of amino acid residues in experimentally determined as compared to predicted IDP regions. These observations and additional work along these lines should enable the development of improvements in the accuracy of disorder prediction algorithm.
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Affiliation(s)
- Konda Mani Saravanan
- a Centre of Advanced Study in Crystallography & Biophysics , University of Madras , Guindy Campus, Chennai 600 025 , Tamilnadu , India
| | - A Keith Dunker
- b Centre for Computational Biology and Bioinformatics , Indiana University School of Medicine , Indianapolis , IN , USA
| | - Sankaran Krishnaswamy
- c Institute of Mathematical Sciences , CIT Campus, Tharamani , Chennai 600 113 , Tamilnadu , India
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11
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Heller GT, Aprile FA, Vendruscolo M. Methods of probing the interactions between small molecules and disordered proteins. Cell Mol Life Sci 2017; 74:3225-3243. [PMID: 28631009 PMCID: PMC5533867 DOI: 10.1007/s00018-017-2563-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 06/01/2017] [Indexed: 12/15/2022]
Abstract
It is generally recognized that a large fraction of the human proteome is made up of proteins that remain disordered in their native states. Despite the fact that such proteins play key biological roles and are involved in many major human diseases, they still represent challenging targets for drug discovery. A major bottleneck for the identification of compounds capable of interacting with these proteins and modulating their disease-promoting behaviour is the development of effective techniques to probe such interactions. The difficulties in carrying out binding measurements have resulted in a poor understanding of the mechanisms underlying these interactions. In order to facilitate further methodological advances, here we review the most commonly used techniques to probe three types of interactions involving small molecules: (1) those that disrupt functional interactions between disordered proteins; (2) those that inhibit the aberrant aggregation of disordered proteins, and (3) those that lead to binding disordered proteins in their monomeric states. In discussing these techniques, we also point out directions for future developments.
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Affiliation(s)
- Gabriella T Heller
- Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Francesco A Aprile
- Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
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12
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Mercadante D, Wagner JA, Aramburu IV, Lemke EA, Gräter F. Sampling Long- versus Short-Range Interactions Defines the Ability of Force Fields To Reproduce the Dynamics of Intrinsically Disordered Proteins. J Chem Theory Comput 2017; 13:3964-3974. [DOI: 10.1021/acs.jctc.7b00143] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Davide Mercadante
- HITS—Heidelberg Institute for Theoretical Studies, 35 Schloß Wolfsbrunnenweg, 69118 Heidelberg, Germany
- IWR—Interdisciplinary
Center for Scientific Computing, Heidelberg University, Mathematikon,
Im Neuenheimer Feld 205, 69120 Heidelberg, Germany
| | - Johannes A. Wagner
- HITS—Heidelberg Institute for Theoretical Studies, 35 Schloß Wolfsbrunnenweg, 69118 Heidelberg, Germany
| | - Iker V. Aramburu
- Structural
and Computational Biology Unit, Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Edward A. Lemke
- Structural
and Computational Biology Unit, Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstraße 1, 69117 Heidelberg, Germany
| | - Frauke Gräter
- HITS—Heidelberg Institute for Theoretical Studies, 35 Schloß Wolfsbrunnenweg, 69118 Heidelberg, Germany
- IWR—Interdisciplinary
Center for Scientific Computing, Heidelberg University, Mathematikon,
Im Neuenheimer Feld 205, 69120 Heidelberg, Germany
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13
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Palamini M, Canciani A, Forneris F. Identifying and Visualizing Macromolecular Flexibility in Structural Biology. Front Mol Biosci 2016; 3:47. [PMID: 27668215 PMCID: PMC5016524 DOI: 10.3389/fmolb.2016.00047] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 08/22/2016] [Indexed: 12/29/2022] Open
Abstract
Structural biology comprises a variety of tools to obtain atomic resolution data for the investigation of macromolecules. Conventional structural methodologies including crystallography, NMR and electron microscopy often do not provide sufficient details concerning flexibility and dynamics, even though these aspects are critical for the physiological functions of the systems under investigation. However, the increasing complexity of the molecules studied by structural biology (including large macromolecular assemblies, integral membrane proteins, intrinsically disordered systems, and folding intermediates) continuously demands in-depth analyses of the roles of flexibility and conformational specificity involved in interactions with ligands and inhibitors. The intrinsic difficulties in capturing often subtle but critical molecular motions in biological systems have restrained the investigation of flexible molecules into a small niche of structural biology. Introduction of massive technological developments over the recent years, which include time-resolved studies, solution X-ray scattering, and new detectors for cryo-electron microscopy, have pushed the limits of structural investigation of flexible systems far beyond traditional approaches of NMR analysis. By integrating these modern methods with powerful biophysical and computational approaches such as generation of ensembles of molecular models and selective particle picking in electron microscopy, more feasible investigations of dynamic systems are now possible. Using some prominent examples from recent literature, we review how current structural biology methods can contribute useful data to accurately visualize flexibility in macromolecular structures and understand its important roles in regulation of biological processes.
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Affiliation(s)
| | | | - Federico Forneris
- The Armenise-Harvard Laboratory of Structural Biology, Department of Biology and Biotechnology, University of PaviaPavia, Italy
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DeForte S, Uversky VN. Order, Disorder, and Everything in Between. Molecules 2016; 21:molecules21081090. [PMID: 27548131 PMCID: PMC6274243 DOI: 10.3390/molecules21081090] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 08/10/2016] [Accepted: 08/11/2016] [Indexed: 02/04/2023] Open
Abstract
In addition to the “traditional” proteins characterized by the unique crystal-like structures needed for unique functions, it is increasingly recognized that many proteins or protein regions (collectively known as intrinsically disordered proteins (IDPs) and intrinsically disordered protein regions (IDPRs)), being biologically active, do not have a specific 3D-structure in their unbound states under physiological conditions. There are also subtler categories of disorder, such as conditional (or dormant) disorder and partial disorder. Both the ability of a protein/region to fold into a well-ordered functional unit or to stay intrinsically disordered but functional are encoded in the amino acid sequence. Structurally, IDPs/IDPRs are characterized by high spatiotemporal heterogeneity and exist as dynamic structural ensembles. It is important to remember, however, that although structure and disorder are often treated as binary states, they actually sit on a structural continuum.
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Affiliation(s)
- Shelly DeForte
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
| | - Vladimir N Uversky
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
- USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
- Laboratory of Structural Dynamics, Stability and Folding of Proteins, Institute of Cytology, Russian Academy of Sciences, St. Petersburg 194064, Russia.
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15
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Deller MC, Kong L, Rupp B. Protein stability: a crystallographer's perspective. ACTA CRYSTALLOGRAPHICA SECTION F-STRUCTURAL BIOLOGY COMMUNICATIONS 2016; 72:72-95. [PMID: 26841758 PMCID: PMC4741188 DOI: 10.1107/s2053230x15024619] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 12/21/2015] [Indexed: 12/18/2022]
Abstract
Protein stability is a topic of major interest for the biotechnology, pharmaceutical and food industries, in addition to being a daily consideration for academic researchers studying proteins. An understanding of protein stability is essential for optimizing the expression, purification, formulation, storage and structural studies of proteins. In this review, discussion will focus on factors affecting protein stability, on a somewhat practical level, particularly from the view of a protein crystallographer. The differences between protein conformational stability and protein compositional stability will be discussed, along with a brief introduction to key methods useful for analyzing protein stability. Finally, tactics for addressing protein-stability issues during protein expression, purification and crystallization will be discussed.
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Affiliation(s)
- Marc C Deller
- Stanford ChEM-H, Macromolecular Structure Knowledge Center, Stanford University, Shriram Center, 443 Via Ortega, Room 097, MC5082, Stanford, CA 94305-4125, USA
| | - Leopold Kong
- Laboratory of Cell and Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Building 8, Room 1A03, 8 Center Drive, Bethesda, MD 20814, USA
| | - Bernhard Rupp
- Department of Forensic Crystallography, k.-k. Hofkristallamt, 91 Audrey Place, Vista, CA 92084, USA
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