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Jia M, Wu B, Yang Z, Chen C, Zhao M, Hou X, Niu X, Jin C, Hu Y. Conformational Dynamics of the Periplasmic Chaperone SurA. Biochemistry 2020; 59:3235-3246. [PMID: 32786408 DOI: 10.1021/acs.biochem.0c00507] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The periplasmic protein SurA is the primary chaperone involved in the biogenesis of bacterial outer membrane proteins and is a potential antibacterial drug target. The three-dimensional structure of SurA can be divided into three parts, a core module formed by the N- and C-terminal regions and two peptidyl-prolyl isomerase (PPIase) domains, P1 and P2. Despite the determination of the structures of several SurA-peptide complexes, the functional mechanism of this chaperone remains elusive and the roles of the two PPIase domains are yet unclear. Herein, we characterize the conformational dynamics of SurA by using solution nuclear magnetic resonance and single-molecule fluorescence resonance energy transfer methods. We demonstrate a "closed-to-open" structural transition of the P1 domain that is correlated with both chaperone activity and peptide binding and show that the flexible P2 domain can also occupy conformations that closely contact the NC core module. Our results offer a structural basis for the counteracting roles of the two PPIase domains in regulating the SurA chaperone activity.
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Affiliation(s)
- Moye Jia
- Beijing Nuclear Magnetic Resonance Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Bo Wu
- School of Life Sciences, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing 100084, China
| | - Ziyu Yang
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China.,MOE Key Laboratory of Bioorganic Chemistry and Molecular Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Chunlai Chen
- School of Life Sciences, Beijing Advanced Innovation Center for Structural Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing 100084, China
| | - Meiping Zhao
- Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China.,MOE Key Laboratory of Bioorganic Chemistry and Molecular Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Xianhui Hou
- Beijing Nuclear Magnetic Resonance Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Xiaogang Niu
- Beijing Nuclear Magnetic Resonance Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Changwen Jin
- Beijing Nuclear Magnetic Resonance Center, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.,Beijing National Laboratory for Molecular Sciences, Peking University, Beijing 100871, China
| | - Yunfei Hu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan National Laboratory for Optoelectronics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan 430071, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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2
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Matsudaira PT, Verma CS. Editorial. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2019; 143:1-4. [PMID: 30951764 DOI: 10.1016/j.pbiomolbio.2019.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Paul T Matsudaira
- Department of Biological Science, National University of Singapore, 14 Science Drive 4, 117543, Singapore; Centre for BioImaging Sciences, National University of Singapore, 14 Science Drive 4, 117543, Singapore; MechanoBiology Institute, National University of Singapore, 5A Engineering Drive 1, 117411, Singapore.
| | - Chandra S Verma
- Department of Biological Science, National University of Singapore, 14 Science Drive 4, 117543, Singapore; School of Biological Sciences, Nanyang Technological University, 60 Nanyang Dr, 637551, Singapore; Bioinformatics Institute (A*STAR), 30 Biopolis Street, #07-01 Matrix, 138671, Singapore.
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3
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Zhu G, Pan A, Grüber G, Lu L. Conformational states of Zika virus non-structural protein 3 determined by molecular dynamics simulations with small-angle X-Ray scattering data. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2018; 143:13-19. [PMID: 30291845 DOI: 10.1016/j.pbiomolbio.2018.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 09/17/2018] [Accepted: 09/29/2018] [Indexed: 11/16/2022]
Abstract
Zika virus (ZIKV) has become a great public health emergency. Its non-structural protein 3 (NS3) is a key enzyme in viral replication and has been considered as a potential therapeutic target. A conformational characterization of ZIKV NS3 is critical for a comprehensive understanding of its molecular interactions and functions. However, the high conformational flexibility of solution NS3 obstacles the structural characterization of NS3 solely from the experimental observable that averages over its heterogeneous conformations. Here, we employed replica exchange with solute tempering (REST) method to simulate the di-domain protein ZIKV NS3. Three independent MD simulations identified a conserved conformational ensemble of NS3, consisting of a major conformational state and several minor states from compact to loose conformations. The major state agrees well with the scattering profile from small-angle X-ray scattering (SAXS) experiments. Moreover, the simulated ensemble is supported by a direct data-fitting result that requires both short- and long-range structural contacts to recover the experimental data. We discussed the interplay between simulation and experiment in ensemble construction of flexible biomolecules and shed light on the physically derived conformational ensembles.
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Affiliation(s)
- Guanhua Zhu
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore
| | - Ankita Pan
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore
| | - Gerhard Grüber
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore
| | - Lanyuan Lu
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, 637551, Singapore.
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4
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Liu W, Liu X, Zhu G, Lu L, Yang D. A Method for Determining Structure Ensemble of Large Disordered Protein: Application to a Mechanosensing Protein. J Am Chem Soc 2018; 140:11276-11285. [PMID: 30124042 DOI: 10.1021/jacs.8b04792] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Structure characterization of intrinsically disordered proteins (IDPs) remains a key obstacle in understanding their functional mechanisms. Due to the highly dynamic feature of IDPs, structure ensembles instead of static unique structures are often derived from experimental data. Several state-of-the-art computational methods have been developed to select an optimal ensemble from a pregenerated structure pool, but they suffer from low efficiency for large IDPs. Here we present a matching pursuit genetic algorithm (MPGA) for structure ensemble determination, which takes advantages from both matching pursuit (MP) to reduce the search space and genetic algorithm (GA) to reduce the restriction on constraint types. The MPGA method is validated using a reference ensemble with predefined structures. In comparison with the conventional GA, MPGA takes much less computational time for large IDPs. The utility of the method is demonstrated by application to structure ensemble determination of a mechanosensing protein domain with 306 amino acids. The structure ensemble determined reveals that the N-terminal region 1-240 is more compact than the C-terminal region 240-306. The unique structural feature explains why only a small portion of YXXP tyrosine residues can be phosphorylated easily by kinases in the absence of extension force and why the phosphorylation is force-dependent.
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Affiliation(s)
- Wei Liu
- Department of Biological Sciences , National University of Singapore , 14 Science Drive 4 , Singapore 117543 , Singapore
| | - Xiao Liu
- Department of Biological Sciences , National University of Singapore , 14 Science Drive 4 , Singapore 117543 , Singapore
| | - Guanhua Zhu
- School of Biological Sciences , Nanyang Technological University , 60 Nanyang Drive , Singapore 637551 , Singapore
| | - Lanyuan Lu
- School of Biological Sciences , Nanyang Technological University , 60 Nanyang Drive , Singapore 637551 , Singapore
| | - Daiwen Yang
- Department of Biological Sciences , National University of Singapore , 14 Science Drive 4 , Singapore 117543 , Singapore
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5
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Zhu G, Liu W, Bao C, Tong D, Ji H, Shen Z, Yang D, Lu L. Investigating energy-based pool structure selection in the structure ensemble modeling with experimental distance constraints: The example from a multidomain protein Pub1. Proteins 2018; 86:501-514. [PMID: 29383828 DOI: 10.1002/prot.25468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 12/26/2017] [Accepted: 01/23/2018] [Indexed: 12/25/2022]
Abstract
The structural variations of multidomain proteins with flexible parts mediate many biological processes, and a structure ensemble can be determined by selecting a weighted combination of representative structures from a simulated structure pool, producing the best fit to experimental constraints such as interatomic distance. In this study, a hybrid structure-based and physics-based atomistic force field with an efficient sampling strategy is adopted to simulate a model di-domain protein against experimental paramagnetic relaxation enhancement (PRE) data that correspond to distance constraints. The molecular dynamics simulations produce a wide range of conformations depicted on a protein energy landscape. Subsequently, a conformational ensemble recovered with low-energy structures and the minimum-size restraint is identified in good agreement with experimental PRE rates, and the result is also supported by chemical shift perturbations and small-angle X-ray scattering data. It is illustrated that the regularizations of energy and ensemble-size prevent an arbitrary interpretation of protein conformations. Moreover, energy is found to serve as a critical control to refine the structure pool and prevent data overfitting, because the absence of energy regularization exposes ensemble construction to the noise from high-energy structures and causes a more ambiguous representation of protein conformations. Finally, we perform structure-ensemble optimizations with a topology-based structure pool, to enhance the understanding on the ensemble results from different sources of pool candidates.
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Affiliation(s)
- Guanhua Zhu
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Wei Liu
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Chenglong Bao
- Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore, 119076, Singapore.,Yau Mathematical Sciences Center, Tsinghua University, Haidian District, Beijing, 100084, China
| | - Dudu Tong
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Hui Ji
- Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore, 119076, Singapore
| | - Zuowei Shen
- Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore, 119076, Singapore
| | - Daiwen Yang
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Lanyuan Lu
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
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Plumridge A, Meisburger SP, Pollack L. Visualizing single-stranded nucleic acids in solution. Nucleic Acids Res 2017; 45:e66. [PMID: 28034955 PMCID: PMC5435967 DOI: 10.1093/nar/gkw1297] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 12/09/2016] [Accepted: 12/13/2016] [Indexed: 02/06/2023] Open
Abstract
Single-stranded nucleic acids (ssNAs) are ubiquitous in many key cellular functions. Their flexibility limits both the number of high-resolution structures available, leaving only a small number of protein-ssNA crystal structures, while forcing solution investigations to report ensemble averages. A description of the conformational distributions of ssNAs is essential to more fully characterize biologically relevant interactions. We combine small angle X-ray scattering (SAXS) with ensemble-optimization methods (EOM) to dynamically build and refine sets of ssNA structures. By constructing candidate chains in representative dinucleotide steps and refining the models against SAXS data, a broad array of structures can be obtained to match varying solution conditions and strand sequences. In addition to the distribution of large scale structural parameters, this approach reveals, for the first time, intricate details of the phosphate backbone and underlying strand conformations. Such information on unperturbed strands will critically inform a detailed understanding of an array of problems including protein-ssNA binding, RNA folding and the polymer nature of NAs. In addition, this scheme, which couples EOM selection with an iteratively refining pool to give confidence in the underlying structures, is likely extendable to the study of other flexible systems.
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Affiliation(s)
- Alex Plumridge
- School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA
| | | | - Lois Pollack
- School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA
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Medvedev KE, Kolchanov NA, Afonnikov DA. High temperature and pressure influence the interdomain orientation of Nip7 proteins from P. abyssi and P. furiosus: MD simulations. J Biomol Struct Dyn 2017; 36:68-82. [DOI: 10.1080/07391102.2016.1268070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Kirill E. Medvedev
- Systems Biology Department, Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk 630090, Russia
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Nikolay A. Kolchanov
- Systems Biology Department, Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk 630090, Russia
- Chair of Informational Biology, Novosibirsk State University, Pirogova str. 2, Novosibirsk 630090, Russia
| | - Dmitry A. Afonnikov
- Systems Biology Department, Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk 630090, Russia
- Chair of Informational Biology, Novosibirsk State University, Pirogova str. 2, Novosibirsk 630090, Russia
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8
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Coexistence of multiple minor states of fatty acid binding protein and their functional relevance. Sci Rep 2016; 6:34171. [PMID: 27677899 PMCID: PMC5039767 DOI: 10.1038/srep34171] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 09/07/2016] [Indexed: 01/01/2023] Open
Abstract
Proteins are dynamic over a wide range of timescales, but determining the number of distinct dynamic processes and identifying functionally relevant dynamics are still challenging. Here we present the study on human intestinal fatty acid binding protein (hIFABP) using a novel analysis of 15N relaxation dispersion (RD) and chemical shift saturation transfer (CEST) experiments. Through combined analysis of the two types of experiments, we found that hIFABP exists in a four-state equilibrium in which three minor states interconvert directly with the major state. According to conversion rates from the major “closed” state to minor states, these minor states are irrelevant to the function of fatty acid transport. Based on chemical shifts of the minor states which could not be determined from RD data alone but were extracted from a combined analysis of RD and CEST data, we found that all the minor states are native-like. This conclusion is further supported by hydrogen-deuterium exchange experiments. Direct conversions between the native state and native-like intermediate states may suggest parallel multitrack unfolding/folding pathways of hIFABP. Moreover, hydrogen-deuterium exchange data indicate the existence of another locally unfolded minor state that is relevant to the fatty acid entry process.
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