1
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Beck J, Shanmugaratnam S, Höcker B. Diversifying de novo TIM barrels by hallucination. Protein Sci 2024; 33:e5001. [PMID: 38723111 PMCID: PMC11081422 DOI: 10.1002/pro.5001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/26/2024] [Accepted: 04/10/2024] [Indexed: 05/13/2024]
Abstract
De novo protein design expands the protein universe by creating new sequences to accomplish tailor-made enzymes in the future. A promising topology to implement diverse enzyme functions is the ubiquitous TIM-barrel fold. Since the initial de novo design of an idealized four-fold symmetric TIM barrel, the family of de novo TIM barrels is expanding rapidly. Despite this and in contrast to natural TIM barrels, these novel proteins lack cavities and structural elements essential for the incorporation of binding sites or enzymatic functions. In this work, we diversified a de novo TIM barrel by extending multiple βα-loops using constrained hallucination. Experimentally tested designs were found to be soluble upon expression in Escherichia coli and well-behaved. Biochemical characterization and crystal structures revealed successful extensions with defined α-helical structures. These diversified de novo TIM barrels provide a framework to explore a broad spectrum of functions based on the potential of natural TIM barrels.
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Affiliation(s)
- Julian Beck
- Department of BiochemistryUniversity of BayreuthBayreuthGermany
| | | | - Birte Höcker
- Department of BiochemistryUniversity of BayreuthBayreuthGermany
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2
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Li J, Dai H, Bashir A, Wang Z, An Y, Yu X, Xu L, Li L. Nematicidal activity and action mode of a methyl-accepting chemotaxis protein from Pseudomonas syringae against Caenorhabditis elegans. Heliyon 2024; 10:e30366. [PMID: 38707475 PMCID: PMC11068812 DOI: 10.1016/j.heliyon.2024.e30366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/07/2024] Open
Abstract
The conventional phytopathogen Pseudomonas syringae reportedly possesses several virulence determinants against Caenorhabditis elegans; however, their action mechanisms remain elusive. This study reports the nematicidal activity and action receptor of a methyl-accepting chemotaxis protein (MCP03) of a wild-type P. syringae MB03 against C. elegans. Purified MCP03 exhibited nematicidal toxicity against C. elegans at a half-lethal concentration of 124.4 μg mL-1, alongside detrimental effects on the growth and brood size of C. elegans. Additionally, MCP03-treated worms exhibited severe pathological destruction of the intestine and depressed wrinkles of the cuticle. Yeast two-hybrid assays identified a subunit of COP9 signalosome, namely CSN-5, which functioned as an MCP03 action receptor. In vitro pull-down verified the binding interaction between MCP03 and CSN-5. RNA interference assays confirmed that MCP03 antagonizes CSN-5, thereby adversely affecting the brood size and cuticle integrity of C. elegans. Following MCP03 infection, the expression of genes related to reproduction, growth, and cuticle formation, such as kgb-1, unc-98, and col-117, was considerably downregulated, indicating pathological changes in MCP03-treated nematodes. Therefore, we proposed that MCP03 antagonizes CSN-5, causing lethality as well as detrimental effects on the fertility, growth, and morphogenesis of C. elegans, which can provide new insights into the signaling pathways and mechanisms underlying the nematicidal action of MCP03 toward C. elegans.
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Affiliation(s)
- Jiaoqing Li
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, School of Life Sciences, Jiaying University, Meizhou 514015, China
| | - Haiyan Dai
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Anum Bashir
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Zhiyong Wang
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yimin An
- Pomelo Engineering Technology Center, School of Life Sciences, Jiaying University, Meizhou 514015, China
| | - Xun Yu
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Liangzheng Xu
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, School of Life Sciences, Jiaying University, Meizhou 514015, China
| | - Lin Li
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
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3
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Cifuente JO, Colleoni C, Kalscheuer R, Guerin ME. Architecture, Function, Regulation, and Evolution of α-Glucans Metabolic Enzymes in Prokaryotes. Chem Rev 2024; 124:4863-4934. [PMID: 38606812 PMCID: PMC11046441 DOI: 10.1021/acs.chemrev.3c00811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Bacteria have acquired sophisticated mechanisms for assembling and disassembling polysaccharides of different chemistry. α-d-Glucose homopolysaccharides, so-called α-glucans, are the most widespread polymers in nature being key components of microorganisms. Glycogen functions as an intracellular energy storage while some bacteria also produce extracellular assorted α-glucans. The classical bacterial glycogen metabolic pathway comprises the action of ADP-glucose pyrophosphorylase and glycogen synthase, whereas extracellular α-glucans are mostly related to peripheral enzymes dependent on sucrose. An alternative pathway of glycogen biosynthesis, operating via a maltose 1-phosphate polymerizing enzyme, displays an essential wiring with the trehalose metabolism to interconvert disaccharides into polysaccharides. Furthermore, some bacteria show a connection of intracellular glycogen metabolism with the genesis of extracellular capsular α-glucans, revealing a relationship between the storage and structural function of these compounds. Altogether, the current picture shows that bacteria have evolved an intricate α-glucan metabolism that ultimately relies on the evolution of a specific enzymatic machinery. The structural landscape of these enzymes exposes a limited number of core catalytic folds handling many different chemical reactions. In this Review, we present a rationale to explain how the chemical diversity of α-glucans emerged from these systems, highlighting the underlying structural evolution of the enzymes driving α-glucan bacterial metabolism.
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Affiliation(s)
- Javier O. Cifuente
- Instituto
Biofisika (UPV/EHU, CSIC), University of
the Basque Country, E-48940 Leioa, Spain
| | - Christophe Colleoni
- University
of Lille, CNRS, UMR8576-UGSF -Unité de Glycobiologie Structurale
et Fonctionnelle, F-59000 Lille, France
| | - Rainer Kalscheuer
- Institute
of Pharmaceutical Biology and Biotechnology, Heinrich Heine University, 40225 Dusseldorf, Germany
| | - Marcelo E. Guerin
- Structural
Glycobiology Laboratory, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB), Spanish
National Research Council (CSIC), Barcelona Science Park, c/Baldiri Reixac 4-8, Tower R, 08028 Barcelona, Catalonia, Spain
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4
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Bale A, Rambo R, Prior C. The SKMT Algorithm: A method for assessing and comparing underlying protein entanglement. PLoS Comput Biol 2023; 19:e1011248. [PMID: 38011290 PMCID: PMC10703313 DOI: 10.1371/journal.pcbi.1011248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 12/07/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
We present fast and simple-to-implement measures of the entanglement of protein tertiary structures which are appropriate for highly flexible structure comparison. These are performed using the SKMT algorithm, a novel method of smoothing the Cα backbone to achieve a minimal complexity curve representation of the manner in which the protein's secondary structure elements fold to form its tertiary structure. Its subsequent complexity is characterised using measures based on the writhe and crossing number quantities heavily utilised in DNA topology studies, and which have shown promising results when applied to proteins recently. The SKMT smoothing is used to derive empirical bounds on a protein's entanglement relative to its number of secondary structure elements. We show that large scale helical geometries dominantly account for the maximum growth in entanglement of protein monomers, and further that this large scale helical geometry is present in a large array of proteins, consistent across a number of different protein structure types and sequences. We also show how these bounds can be used to constrain the search space of protein structure prediction from small angle x-ray scattering experiments, a method highly suited to determining the likely structure of proteins in solution where crystal structure or machine learning based predictions often fail to match experimental data. Finally we develop a structural comparison metric based on the SKMT smoothing which is used in one specific case to demonstrate significant structural similarity between Rossmann fold and TIM Barrel proteins, a link which is potentially significant as attempts to engineer the latter have in the past produced the former. We provide the SWRITHE interactive python notebook to calculate these metrics.
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Affiliation(s)
- Arron Bale
- Department of Mathematical Sciences, Durham University, Durham, United Kingdom
| | - Robert Rambo
- Diamond Light Source, Harwell Science and Innovation Campus, Didcot, United Kingdom
| | - Christopher Prior
- Department of Mathematical Sciences, Durham University, Durham, United Kingdom
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5
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Kordes S, Beck J, Shanmugaratnam S, Flecks M, Höcker B. Physics-based approach to extend a de novo TIM barrel with rationally designed helix-loop-helix motifs. Protein Eng Des Sel 2023; 36:gzad012. [PMID: 37707513 DOI: 10.1093/protein/gzad012] [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: 07/31/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023] Open
Abstract
Computational protein design promises the ability to build tailor-made proteins de novo. While a range of de novo proteins have been constructed so far, the majority of these designs have idealized topologies that lack larger cavities which are necessary for the incorporation of small molecule binding sites or enzymatic functions. One attractive target for enzyme design is the TIM-barrel fold, due to its ubiquity in nature and capability to host versatile functions. With the successful de novo design of a 4-fold symmetric TIM barrel, sTIM11, an idealized, minimalistic scaffold was created. In this work, we attempted to extend this de novo TIM barrel by incorporating a helix-loop-helix motif into its βα-loops by applying a physics-based modular design approach using Rosetta. Further diversification was performed by exploiting the symmetry of the scaffold to integrate two helix-loop-helix motifs into the scaffold. Analysis with AlphaFold2 and biochemical characterization demonstrate the formation of additional α-helical secondary structure elements supporting the successful extension as intended.
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Affiliation(s)
- Sina Kordes
- Department of Biochemistry, University of Bayreuth, Bayreuth 95447, Germany
| | - Julian Beck
- Department of Biochemistry, University of Bayreuth, Bayreuth 95447, Germany
| | | | - Merle Flecks
- Department of Biochemistry, University of Bayreuth, Bayreuth 95447, Germany
| | - Birte Höcker
- Department of Biochemistry, University of Bayreuth, Bayreuth 95447, Germany
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6
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Chaudhuri S, Srivastava A. Network approach to understand biological systems: From single to multilayer networks. J Biosci 2022. [DOI: 10.1007/s12038-022-00285-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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7
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Chakrabarty B, Das D, Bung N, Roy A, Bulusu G. Network analysis of hydroxymethylbilane synthase dynamics. J Mol Graph Model 2020; 99:107641. [PMID: 32619952 DOI: 10.1016/j.jmgm.2020.107641] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/03/2020] [Accepted: 05/08/2020] [Indexed: 12/11/2022]
Abstract
Hydroxymethylbilane synthase (HMBS) is one of the key enzymes of the heme biosynthetic pathway that catalyzes porphobilinogen to form the linear tetrapyrrole 1-hydroxymethylbilane through four intermediate steps. Mutations in the human HMBS (hHMBS) can lead to acute intermittent porphyria (AIP), a lethal metabolic disorder. The molecular basis of importance of the amino acid residues at the catalytic site of hHMBS has been well studied. However, the role of non-active site residues toward the activity of the enzyme and hence the association of their mutations with AIP is not known. Network-based analyses of protein structures provide a systems approach to understand the correlations of the residues through a series of inter-residue interactions. We analyzed the dynamic network representation of HMBS protein derived from five molecular dynamics trajectories corresponding to the five steps of pyrrole polymerization. We analyzed the network clusters for each stage and identified the amino acid residues and interactions responsible for the structural stability and catalytic function of the protein. The analysis of high betweenness nodes and interaction paths from the active site help in understanding the molecular basis of the effect of non-active site AIP-causing mutations on the catalytic activity.
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Affiliation(s)
- Broto Chakrabarty
- TCS Innovation Labs - Hyderabad (Life Sciences Division), Tata Consultancy Services Limited, Hyderabad, India
| | - Dibyajyoti Das
- TCS Innovation Labs - Hyderabad (Life Sciences Division), Tata Consultancy Services Limited, Hyderabad, India
| | - Navneet Bung
- TCS Innovation Labs - Hyderabad (Life Sciences Division), Tata Consultancy Services Limited, Hyderabad, India
| | - Arijit Roy
- TCS Innovation Labs - Hyderabad (Life Sciences Division), Tata Consultancy Services Limited, Hyderabad, India
| | - Gopalakrishnan Bulusu
- TCS Innovation Labs - Hyderabad (Life Sciences Division), Tata Consultancy Services Limited, Hyderabad, India.
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8
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Chakrabarty B, Naganathan V, Garg K, Agarwal Y, Parekh N. NAPS update: network analysis of molecular dynamics data and protein-nucleic acid complexes. Nucleic Acids Res 2020; 47:W462-W470. [PMID: 31106363 PMCID: PMC6602509 DOI: 10.1093/nar/gkz399] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 04/30/2019] [Accepted: 05/07/2019] [Indexed: 02/04/2023] Open
Abstract
Network theory is now a method of choice to gain insights in understanding protein structure, folding and function. In combination with molecular dynamics (MD) simulations, it is an invaluable tool with widespread applications such as analyzing subtle conformational changes and flexibility regions in proteins, dynamic correlation analysis across distant regions for allosteric communications, in drug design to reveal alternative binding pockets for drugs, etc. Updated version of NAPS now facilitates network analysis of the complete repertoire of these biomolecules, i.e., proteins, protein–protein/nucleic acid complexes, MD trajectories, and RNA. Various options provided for analysis of MD trajectories include individual network construction and analysis of intermediate time-steps, comparative analysis of these networks, construction and analysis of average network of the ensemble of trajectories and dynamic cross-correlations. For protein–nucleic acid complexes, networks of the whole complex as well as that of the interface can be constructed and analyzed. For analysis of proteins, protein–protein complexes and MD trajectories, network construction based on inter-residue interaction energies with realistic edge-weights obtained from standard force fields is provided to capture the atomistic details. Updated version of NAPS also provides improved visualization features, interactive plots and bulk execution. URL: http://bioinf.iiit.ac.in/NAPS/
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Affiliation(s)
- Broto Chakrabarty
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India
| | - Varun Naganathan
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India
| | - Kanak Garg
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India
| | - Yash Agarwal
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India
| | - Nita Parekh
- Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology - Hyderabad 500032, India
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9
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Wang CH, Lu LH, Huang C, He BF, Huang RB. Simultaneously Improved Thermostability and Hydrolytic Pattern of Alpha-Amylase by Engineering Central Beta Strands of TIM Barrel. Appl Biochem Biotechnol 2020; 192:57-70. [PMID: 32219624 DOI: 10.1007/s12010-020-03308-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 03/12/2020] [Indexed: 11/26/2022]
Abstract
This study reported simultaneously improved thermostability and hydrolytic pattern of α-amylase from Bacillus subtilis CN7 by rationally engineering the mostly conserved central beta strands in TIM barrel fold. Nine single point mutations and a double mutation were introduced at the 2nd site of the β7 strand and 3rd site of the β5 strand to rationalize the weak interactions in the beta strands of the TIM barrel of α-amylase. All the five active mutants changed the compositions and percentages of maltooligosaccharides in final hydrolytic products compared to the product spectrum of the wild-type. A mutant Y204V produced only maltose, maltotriose, and maltopentaose without any glucose and maltotetraose, indicating a conversion from typical endo-amylase to novel maltooligosaccharide-producing amylase. A mutant V260I enhanced the thermal stability by 7.1 °C. To our best knowledge, this is the first report on the simultaneous improvement of thermostability and hydrolytic pattern of α-amylase by engineering central beta strands of TIM barrel and the novel "beta strands" strategy proposed here may be useful for the protein engineering of other TIM barrel proteins.
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Affiliation(s)
- Cheng-Hua Wang
- College of Light Industry and Food Engineering, Guangxi University, 100 Daxue East Road, Nanning, 530004, People's Republic of China.
| | - Liang-Hua Lu
- College of Light Industry and Food Engineering, Guangxi University, 100 Daxue East Road, Nanning, 530004, People's Republic of China
| | - Cheng Huang
- College of Light Industry and Food Engineering, Guangxi University, 100 Daxue East Road, Nanning, 530004, People's Republic of China
| | - Bing-Fang He
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 210009, China
| | - Ri-Bo Huang
- College of Life Science and Technology, Guangxi University, Nanning, 530004, China
- State Key Laboratory of Non-Food Biomass and Enzyme Technology, National Engineering Research Center for Non-food Biorefinery, Guangxi Key Laboratory of Biorefinery, Guangxi Academy of Sciences, Nanning, 530007, China
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10
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Ullah SF, Souza AA, Hamann PRV, Ticona ARP, Oliveira GM, Barbosa JARG, Freitas SM, Noronha EF. Structural and functional characterisation of xylanase purified from Penicillium chrysogenum produced in response to raw agricultural waste. Int J Biol Macromol 2019; 127:385-395. [PMID: 30654038 DOI: 10.1016/j.ijbiomac.2019.01.057] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 12/28/2018] [Accepted: 01/11/2019] [Indexed: 11/29/2022]
Abstract
Commercial interest in plant cell wall degrading enzymes (PCWDE) is motivated by their potential for energy or bioproduct generation that reduced dependency on non-renewable (fossil-derived) feedstock. Therefore, underlying work analysed the Penicillium chrysogenum isolate for PCWDE production by employing different biomass as a carbon source. Among the produced enzymes, three xylanase isoforms were observed in the culture filtrate containing sugarcane bagasse. Xylanase (PcX1) presenting 35 kDa molecular mass was purified by gel filtration and anion exchange chromatography. Unfolding was probed and analysed using fluorescence, circular dichroism and enzyme assay methods. Secondary structure contents were estimated by circular dichroism 45% α-helix and 10% β-sheet, consistent with the 3D structure predicted by homology. PcX1 optimally active at pH 5.0 and 30 °C, presenting t1/2 19 h at 30 °C and 6 h at 40 °C. Thermodynamic parameters/melting temperature 51.4 °C confirmed the PcX1 stability at pH 5.0. PcX1 have a higher affinity for oat spelt xylan, KM 1.2 mg·mL-1, in comparison to birchwood xylan KM 29.86 mg·mL-1, activity was inhibited by Cu+2 and activated by Zn+2. PcX1 exhibited significant tolerance for vanillin, trans-ferulic acid, ρ-coumaric acid, syringaldehyde and 4-hydroxybenzoic acid, activity slightly inhibited (17%) by gallic and tannic acid.
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Affiliation(s)
- Sadia Fida Ullah
- Laboratory de Enzymology, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | - Amanda Araújo Souza
- Laboratory of Molecular Biophysics, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | - Pedro Ricardo V Hamann
- Laboratory de Enzymology, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | - Alonso Roberto P Ticona
- Laboratory de Enzymology, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | - Gideane M Oliveira
- Laboratory of Molecular Biophysics, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | | | - Sonia M Freitas
- Laboratory of Molecular Biophysics, Department of Cellular Biology, University of Brasilia, DF, Brazil
| | - Eliane Ferreira Noronha
- Laboratory de Enzymology, Department of Cellular Biology, University of Brasilia, DF, Brazil.
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11
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Liao Q, Kulkarni Y, Sengupta U, Petrović D, Mulholland AJ, van der Kamp MW, Strodel B, Kamerlin SCL. Loop Motion in Triosephosphate Isomerase Is Not a Simple Open and Shut Case. J Am Chem Soc 2018; 140:15889-15903. [PMID: 30362343 DOI: 10.1021/jacs.8b09378] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Conformational changes are crucial for the catalytic action of many enzymes. A prototypical and well-studied example is loop opening and closure in triosephosphate isomerase (TIM), which is thought to determine the rate of catalytic turnover in many circumstances. Specifically, TIM loop 6 "grips" the phosphodianion of the substrate and, together with a change in loop 7, sets up the TIM active site for efficient catalysis. Crystal structures of TIM typically show an open or a closed conformation of loop 6, with the tip of the loop moving ∼7 Å between conformations. Many studies have interpreted this motion as a two-state, rigid-body transition. Here, we use extensive molecular dynamics simulations, with both conventional and enhanced sampling techniques, to analyze loop motion in apo and substrate-bound TIM in detail, using five crystal structures of the dimeric TIM from Saccharomyces cerevisiae. We find that loop 6 is highly flexible and samples multiple conformational states. Empirical valence bond simulations of the first reaction step show that slight displacements away from the fully closed-loop conformation can be sufficient to abolish most of the catalytic activity; full closure is required for efficient reaction. The conformational change of the loops in TIM is thus not a simple "open and shut" case and is crucial for its catalytic action. Our detailed analysis of loop motion in a highly efficient enzyme highlights the complexity of loop conformational changes and their role in biological catalysis.
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Affiliation(s)
- Qinghua Liao
- Department of Chemistry - BMC , Uppsala University , BMC Box 576, 751 23 Uppsala , Sweden
| | - Yashraj Kulkarni
- Department of Chemistry - BMC , Uppsala University , BMC Box 576, 751 23 Uppsala , Sweden
| | - Ushnish Sengupta
- Institute of Complex Systems: Structural Biochemistry (ICS-6) , Forschungszentrum Jülich , 52425 Jülich , Germany.,German Research School for Simulation Sciences , RWTH Aachen University , 52062 Aachen , Germany
| | - Dušan Petrović
- Department of Chemistry - BMC , Uppsala University , BMC Box 576, 751 23 Uppsala , Sweden.,Institute of Complex Systems: Structural Biochemistry (ICS-6) , Forschungszentrum Jülich , 52425 Jülich , Germany
| | - Adrian J Mulholland
- Centre for Computational Chemistry, School of Chemistry , University of Bristol , Cantock's Close , BS8 1TS Bristol , United Kingdom
| | - Marc W van der Kamp
- Centre for Computational Chemistry, School of Chemistry , University of Bristol , Cantock's Close , BS8 1TS Bristol , United Kingdom.,School of Biochemistry , University of Bristol , University Walk , BS8 1TD Bristol , United Kingdom
| | - Birgit Strodel
- Institute of Complex Systems: Structural Biochemistry (ICS-6) , Forschungszentrum Jülich , 52425 Jülich , Germany.,Institute of Theoretical and Computational Chemistry , Heinrich Heine University Düsseldorf , 40225 Düsseldorf , Germany
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12
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Chan YH, Venev SV, Zeldovich KB, Matthews CR. Correlation of fitness landscapes from three orthologous TIM barrels originates from sequence and structure constraints. Nat Commun 2017; 8:14614. [PMID: 28262665 PMCID: PMC5343507 DOI: 10.1038/ncomms14614] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 01/11/2017] [Indexed: 02/07/2023] Open
Abstract
Sequence divergence of orthologous proteins enables adaptation to environmental stresses and promotes evolution of novel functions. Limits on evolution imposed by constraints on sequence and structure were explored using a model TIM barrel protein, indole-3-glycerol phosphate synthase (IGPS). Fitness effects of point mutations in three phylogenetically divergent IGPS proteins during adaptation to temperature stress were probed by auxotrophic complementation of yeast with prokaryotic, thermophilic IGPS. Analysis of beneficial mutations pointed to an unexpected, long-range allosteric pathway towards the active site of the protein. Significant correlations between the fitness landscapes of distant orthologues implicate both sequence and structure as primary forces in defining the TIM barrel fitness landscape and suggest that fitness landscapes can be translocated in sequence space. Exploration of fitness landscapes in the context of a protein fold provides a strategy for elucidating the sequence-structure-fitness relationships in other common motifs. The TIM barrel fold is an evolutionarily conserved motif found in proteins with a variety of enzymatic functions. Here the authors explore the fitness landscape of the TIM barrel protein IGPS and uncover evolutionary constraints on both sequence and structure, accompanied by long range allosteric interactions.
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Affiliation(s)
- Yvonne H Chan
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, Massachusetts 01605, USA
| | - Sergey V Venev
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 368 Plantation Street, Worcester, Massachusetts 01605, USA
| | - Konstantin B Zeldovich
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 368 Plantation Street, Worcester, Massachusetts 01605, USA
| | - C Robert Matthews
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 364 Plantation Street, Worcester, Massachusetts 01605, USA
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13
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Saravanan KM, Suvaithenamudhan S, Parthasarathy S, Selvaraj S. Pairwise contact energy statistical potentials can help to find probability of point mutations. Proteins 2016; 85:54-64. [PMID: 27761949 DOI: 10.1002/prot.25191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 06/16/2016] [Accepted: 10/13/2016] [Indexed: 11/10/2022]
Abstract
To adopt a particular fold, a protein requires several interactions between its amino acid residues. The energetic contribution of these residue-residue interactions can be approximated by extracting statistical potentials from known high resolution structures. Several methods based on statistical potentials extracted from unrelated proteins are found to make a better prediction of probability of point mutations. We postulate that the statistical potentials extracted from known structures of similar folds with varying sequence identity can be a powerful tool to examine probability of point mutation. By keeping this in mind, we have derived pairwise residue and atomic contact energy potentials for the different functional families that adopt the (α/β)8 TIM-Barrel fold. We carried out computational point mutations at various conserved residue positions in yeast Triose phosphate isomerase enzyme for which experimental results are already reported. We have also performed molecular dynamics simulations on a subset of point mutants to make a comparative study. The difference in pairwise residue and atomic contact energy of wildtype and various point mutations reveals probability of mutations at a particular position. Interestingly, we found that our computational prediction agrees with the experimental studies of Silverman et al. (Proc Natl Acad Sci 2001;98:3092-3097) and perform better prediction than iMutant and Cologne University Protein Stability Analysis Tool. The present work thus suggests deriving pairwise contact energy potentials and molecular dynamics simulations of functionally important folds could help us to predict probability of point mutations which may ultimately reduce the time and cost of mutation experiments. Proteins 2016; 85:54-64. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- K M Saravanan
- Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai, Tamilnadu, 600 025, India
| | - S Suvaithenamudhan
- Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tirchirappalli, Tamilnadu, 620 024, India
| | - S Parthasarathy
- Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tirchirappalli, Tamilnadu, 620 024, India
| | - S Selvaraj
- Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tirchirappalli, Tamilnadu, 620 024, India
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14
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Tiwari SP, Reuter N. Similarity in Shape Dictates Signature Intrinsic Dynamics Despite No Functional Conservation in TIM Barrel Enzymes. PLoS Comput Biol 2016; 12:e1004834. [PMID: 27015412 PMCID: PMC4807811 DOI: 10.1371/journal.pcbi.1004834] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 02/25/2016] [Indexed: 11/19/2022] Open
Abstract
The conservation of the intrinsic dynamics of proteins emerges as we attempt to understand the relationship between sequence, structure and functional conservation. We characterise the conservation of such dynamics in a case where the structure is conserved but function differs greatly. The triosephosphate isomerase barrel fold (TBF), renowned for its 8 β-strand-α-helix repeats that close to form a barrel, is one of the most diverse and abundant folds found in known protein structures. Proteins with this fold have diverse enzymatic functions spanning five of six Enzyme Commission classes, and we have picked five different superfamily candidates for our analysis using elastic network models. We find that the overall shape is a large determinant in the similarity of the intrinsic dynamics, regardless of function. In particular, the β-barrel core is highly rigid, while the α-helices that flank the β-strands have greater relative mobility, allowing for the many possibilities for placement of catalytic residues. We find that these elements correlate with each other via the loops that link them, as opposed to being directly correlated. We are also able to analyse the types of motions encoded by the normal mode vectors of the α-helices. We suggest that the global conservation of the intrinsic dynamics in the TBF contributes greatly to its success as an enzymatic scaffold both through evolution and enzyme design.
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Affiliation(s)
- Sandhya P. Tiwari
- Department of Molecular Biology, University of Bergen, Pb. 7803, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Pb. 7803, Bergen, Norway
| | - Nathalie Reuter
- Department of Molecular Biology, University of Bergen, Pb. 7803, Bergen, Norway
- Computational Biology Unit, Department of Informatics, University of Bergen, Pb. 7803, Bergen, Norway
- * E-mail:
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15
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Ozbaykal G, Rana Atilgan A, Atilgan C. In silicomutational studies of Hsp70 disclose sites with distinct functional attributes. Proteins 2015; 83:2077-90. [DOI: 10.1002/prot.24925] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 08/31/2015] [Accepted: 09/02/2015] [Indexed: 12/24/2022]
Affiliation(s)
- Gizem Ozbaykal
- Faculty of Engineering and Natural Sciences; Sabanci University; Tuzla Istanbul 34956 Turkey
| | - Ali Rana Atilgan
- Faculty of Engineering and Natural Sciences; Sabanci University; Tuzla Istanbul 34956 Turkey
| | - Canan Atilgan
- Faculty of Engineering and Natural Sciences; Sabanci University; Tuzla Istanbul 34956 Turkey
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16
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Fox NK, Brenner SE, Chandonia JM. The value of protein structure classification information-Surveying the scientific literature. Proteins 2015; 83:2025-38. [PMID: 26313554 PMCID: PMC4609302 DOI: 10.1002/prot.24915] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Revised: 08/06/2015] [Accepted: 08/18/2015] [Indexed: 11/08/2022]
Abstract
The Structural Classification of Proteins (SCOP) and Class, Architecture, Topology, Homology (CATH) databases have been valuable resources for protein structure classification for over 20 years. Development of SCOP (version 1) concluded in June 2009 with SCOP 1.75. The SCOPe (SCOP-extended) database offers continued development of the classic SCOP hierarchy, adding over 33,000 structures. We have attempted to assess the impact of these two decade old resources and guide future development. To this end, we surveyed recent articles to learn how structure classification data are used. Of 571 articles published in 2012-2013 that cite SCOP, 439 actually use data from the resource. We found that the type of use was fairly evenly distributed among four top categories: A) study protein structure or evolution (27% of articles), B) train and/or benchmark algorithms (28% of articles), C) augment non-SCOP datasets with SCOP classification (21% of articles), and D) examine the classification of one protein/a small set of proteins (22% of articles). Most articles described computational research, although 11% described purely experimental research, and a further 9% included both. We examined how CATH and SCOP were used in 158 articles that cited both databases: while some studies used only one dataset, the majority used data from both resources. Protein structure classification remains highly relevant for a diverse range of problems and settings.
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Affiliation(s)
- Naomi K Fox
- Lawrence Berkeley National Laboratory, Physical Biosciences Division, Berkeley, California, 94720
| | - Steven E Brenner
- Lawrence Berkeley National Laboratory, Physical Biosciences Division, Berkeley, California, 94720.,Department of Plant and Microbial Biology, University of California, Berkeley, California, 94720
| | - John-Marc Chandonia
- Lawrence Berkeley National Laboratory, Physical Biosciences Division, Berkeley, California, 94720
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17
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Nagarajan D, Deka G, Rao M. Design of symmetric TIM barrel proteins from first principles. BMC BIOCHEMISTRY 2015; 16:18. [PMID: 26264284 PMCID: PMC4531894 DOI: 10.1186/s12858-015-0047-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 07/21/2015] [Indexed: 12/03/2022]
Abstract
Background Computational protein design is a rapidly maturing field within structural biology, with the goal of designing proteins with custom structures and functions. Such proteins could find widespread medical and industrial applications. Here, we have adapted algorithms from the Rosetta software suite to design much larger proteins, based on ideal geometric and topological criteria. Furthermore, we have developed techniques to incorporate symmetry into designed structures. For our first design attempt, we targeted the (α/β)8 TIM barrel scaffold. We gained novel insights into TIM barrel folding mechanisms from studying natural TIM barrel structures, and from analyzing previous TIM barrel design attempts. Methods Computational protein design and analysis was performed using the Rosetta software suite and custom scripts. Genes encoding all designed proteins were synthesized and cloned on the pET20-b vector. Standard circular dichroism and gel chromatographic experiments were performed to determine protein biophysical characteristics. 1D NMR and 2D HSQC experiments were performed to determine protein structural characteristics. Results Extensive protein design simulations coupled with ab initio modeling yielded several all-atom models of ideal, 4-fold symmetric TIM barrels. Four such models were experimentally characterized. The best designed structure (Symmetrin-1) contained a polar, histidine-rich pore, forming an extensive hydrogen bonding network. Symmetrin-1 was easily expressed and readily soluble. It showed circular dichroism spectra characteristic of well-folded alpha/beta proteins. Temperature melting experiments revealed cooperative and reversible unfolding, with a Tm of 44 °C and a Gibbs free energy of unfolding (ΔG°) of 8.0 kJ/mol. Urea denaturing experiments confirmed these observations, revealing a Cm of 1.6 M and a ΔG° of 8.3 kJ/mol. Symmetrin-1 adopted a monomeric conformation, with an apparent molecular weight of 32.12 kDa, and displayed well resolved 1D-NMR spectra. However, the HSQC spectrum revealed somewhat molten characteristics. Conclusions Despite the detection of molten characteristics, the creation of a soluble, cooperatively folding protein represents an advancement over previous attempts at TIM barrel design. Strategies to further improve Symmetrin-1 are elaborated. Our techniques may be used to create other large, internally symmetric proteins. Electronic supplementary material The online version of this article (doi:10.1186/s12858-015-0047-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Deepesh Nagarajan
- Biochemistry Department, Indian Institute of Science, Bangalore, India.
| | - Geeta Deka
- Molecular Biology Unit, Indian Institute of Science, Bangalore, India.
| | - Megha Rao
- Biochemistry Department, Indian Institute of Science, Bangalore, India.
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18
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Kister A. Amino acid distribution rules predict protein fold: protein grammar for beta-strand sandwich-like structures. Biomolecules 2015; 5:41-59. [PMID: 25625198 PMCID: PMC4384110 DOI: 10.3390/biom5010041] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Accepted: 12/31/2014] [Indexed: 11/16/2022] Open
Abstract
We present an alternative approach to protein 3D folding prediction based on determination of rules that specify distribution of "favorable" residues, that are mainly responsible for a given fold formation, and "unfavorable" residues, that are incompatible with that fold, in polypeptide sequences. The process of determining favorable and unfavorable residues is iterative. The starting assumptions are based on the general principles of protein structure formation as well as structural features peculiar to a protein fold under investigation. The initial assumptions are tested one-by-one for a set of all known proteins with a given structure. The assumption is accepted as a "rule of amino acid distribution" for the protein fold if it holds true for all, or near all, structures. If the assumption is not accepted as a rule, it can be modified to better fit the data and then tested again in the next step of the iterative search algorithm, or rejected. We determined the set of amino acid distribution rules for a large group of beta sandwich-like proteins characterized by a specific arrangement of strands in two beta sheets. It was shown that this set of rules is highly sensitive (~90%) and very specific (~99%) for identifying sequences of proteins with specified beta sandwich fold structure. The advantage of the proposed approach is that it does not require that query proteins have a high degree of homology to proteins with known structure. So long as the query protein satisfies residue distribution rules, it can be confidently assigned to its respective protein fold. Another advantage of our approach is that it allows for a better understanding of which residues play an essential role in protein fold formation. It may, therefore, facilitate rational protein engineering design.
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Affiliation(s)
- Alexander Kister
- Department of Mathematics, Rutgers University, Piscataway, NJ 08854, USA.
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19
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Bhattacharyya M, Bhat CR, Vishveshwara S. An automated approach to network features of protein structure ensembles. Protein Sci 2014; 22:1399-416. [PMID: 23934896 DOI: 10.1002/pro.2333] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Accepted: 07/12/2013] [Indexed: 12/14/2022]
Abstract
Network theory applied to protein structures provides insights into numerous problems of biological relevance. The explosion in structural data available from PDB and simulations establishes a need to introduce a standalone-efficient program that assembles network concepts/parameters under one hood in an automated manner. Herein, we discuss the development/application of an exhaustive, user-friendly, standalone program package named PSN-Ensemble, which can handle structural ensembles generated through molecular dynamics (MD) simulation/NMR studies or from multiple X-ray structures. The novelty in network construction lies in the explicit consideration of side-chain interactions among amino acids. The program evaluates network parameters dealing with topological organization and long-range allosteric communication. The introduction of a flexible weighing scheme in terms of residue pairwise cross-correlation/interaction energy in PSN-Ensemble brings in dynamical/chemical knowledge into the network representation. Also, the results are mapped on a graphical display of the structure, allowing an easy access of network analysis to a general biological community. The potential of PSN-Ensemble toward examining structural ensemble is exemplified using MD trajectories of an ubiquitin-conjugating enzyme (UbcH5b). Furthermore, insights derived from network parameters evaluated using PSN-Ensemble for single-static structures of active/inactive states of β2-adrenergic receptor and the ternary tRNA complexes of tyrosyl tRNA synthetases (from organisms across kingdoms) are discussed. PSN-Ensemble is freely available from http://vishgraph.mbu.iisc.ernet.in/PSN-Ensemble/psn_index.html.
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20
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Tiberti M, Invernizzi G, Lambrughi M, Inbar Y, Schreiber G, Papaleo E. PyInteraph: a framework for the analysis of interaction networks in structural ensembles of proteins. J Chem Inf Model 2014; 54:1537-51. [PMID: 24702124 DOI: 10.1021/ci400639r] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
In the last years, a growing interest has been gathering around the ability of Molecular Dynamics (MD) to provide insight into the paths of long-range structural communication in biomolecules. The knowledge of the mechanisms related to structural communication helps in the rationalization in atomistic details of the effects induced by mutations, ligand binding, and the intrinsic dynamics of proteins. We here present PyInteraph, a tool for the analysis of structural ensembles inspired by graph theory. PyInteraph is a software suite designed to analyze MD and structural ensembles with attention to binary interactions between residues, such as hydrogen bonds, salt bridges, and hydrophobic interactions. PyInteraph also allows the different classes of intra- and intermolecular interactions to be represented, combined or alone, in the form of interaction graphs, along with performing network analysis on the resulting interaction graphs. The program also integrates the network description with a knowledge-based force field to estimate the interaction energies between side chains in the protein. It can be used alone or together with the recently developed xPyder PyMOL plugin through an xPyder-compatible format. The software capabilities and associated protocols are here illustrated by biologically relevant cases of study. The program is available free of charge as Open Source software via the GPL v3 license at http://linux.btbs.unimib.it/pyinteraph/.
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Affiliation(s)
- Matteo Tiberti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca , Piazza della Scienza 2, 20126 Milan, Italy
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21
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Ribeiro AAST, Ortiz V. Determination of Signaling Pathways in Proteins through Network Theory: Importance of the Topology. J Chem Theory Comput 2014; 10:1762-9. [DOI: 10.1021/ct400977r] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Andre A. S. T. Ribeiro
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
| | - Vanessa Ortiz
- Department of Chemical Engineering, Columbia University, New York, New York 10027, United States
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22
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Niu S, Luo M, Tang J, Zhou H, Zhang Y, Min X, Cai X, Zhang W, Xu W, Li D, Ding J, Hu Y, Wang D, Huang A, Yin Y, Wang D. Structural basis of the novel S. pneumoniae virulence factor, GHIP, a glycosyl hydrolase 25 participating in host-cell invasion. PLoS One 2013; 8:e68647. [PMID: 23874703 PMCID: PMC3712932 DOI: 10.1371/journal.pone.0068647] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Accepted: 05/30/2013] [Indexed: 11/20/2022] Open
Abstract
Pathogenic bacteria produce a wide variety of virulence factors that are considered to be potential antibiotic targets. In this study, we report the crystal structure of a novel S. pneumoniae virulence factor, GHIP, which is a streptococcus-specific glycosyl hydrolase. This novel structure exhibits an α/β-barrel fold that slightly differs from other characterized hydrolases. The GHIP active site, located at the negatively charged groove in the barrel, is very similar to the active site in known peptidoglycan hydrolases. Functionally, GHIP exhibited weak enzymatic activity to hydrolyze the PNP-(GlcNAc)5 peptidoglycan by the general acid/base catalytic mechanism. Animal experiments demonstrated a marked attenuation of S. pneumoniae-mediated virulence in mice infected by ΔGHIP-deficient strains, suggesting that GHIP functions as a novel S. pneumoniae virulence factor. Furthermore, GHIP participates in allowing S. pneumoniae to colonize the nasopharynx and invade host epithelial cells. Taken together, these findings suggest that GHIP can potentially serve as an antibiotic target to effectively treat streptococcus-mediated infection.
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Affiliation(s)
- Siqiang Niu
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
- The First Affiliated Hospital, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Miao Luo
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Jian Tang
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Hua Zhou
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Yangli Zhang
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Xun Min
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Xuefei Cai
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Wenlu Zhang
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Wenchu Xu
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Defeng Li
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Jingjin Ding
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Yonglin Hu
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Dacheng Wang
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Ailong Huang
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Yibin Yin
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Deqiang Wang
- Department of Laboratory Medicine, Chongqing Medical University, Chongqing, People’s Republic of China
- Key Laboratory of Molecular Biology on Infectious Disease, Chongqing Medical University, Chongqing, People’s Republic of China
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23
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Bhattacharyya M, Upadhyay R, Vishveshwara S. Interaction signatures stabilizing the NAD(P)-binding Rossmann fold: a structure network approach. PLoS One 2012; 7:e51676. [PMID: 23284738 PMCID: PMC3524241 DOI: 10.1371/journal.pone.0051676] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Accepted: 11/05/2012] [Indexed: 11/19/2022] Open
Abstract
The fidelity of the folding pathways being encoded in the amino acid sequence is met with challenge in instances where proteins with no sequence homology, performing different functions and no apparent evolutionary linkage, adopt a similar fold. The problem stated otherwise is that a limited fold space is available to a repertoire of diverse sequences. The key question is what factors lead to the formation of a fold from diverse sequences. Here, with the NAD(P)-binding Rossmann fold domains as a case study and using the concepts of network theory, we have unveiled the consensus structural features that drive the formation of this fold. We have proposed a graph theoretic formalism to capture the structural details in terms of the conserved atomic interactions in global milieu, and hence extract the essential topological features from diverse sequences. A unified mathematical representation of the different structures together with a judicious concoction of several network parameters enabled us to probe into the structural features driving the adoption of the NAD(P)-binding Rossmann fold. The atomic interactions at key positions seem to be better conserved in proteins, as compared to the residues participating in these interactions. We propose a "spatial motif" and several "fold specific hot spots" that form the signature structural blueprints of the NAD(P)-binding Rossmann fold domain. Excellent agreement of our data with previous experimental and theoretical studies validates the robustness and validity of the approach. Additionally, comparison of our results with statistical coupling analysis (SCA) provides further support. The methodology proposed here is general and can be applied to similar problems of interest.
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Affiliation(s)
| | - Roopali Upadhyay
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, India
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