PreprintCited by 6bioluminescence and chemiluminescence researchProtein Structure and DynamicsBacterial Genetics and Biotechnology

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Identifying Selectivity Filters in Protein Biosensor for Ligand Screening

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Preprint — published as 10.1021/jacsau.3c00374 · Paper page

Abstract

Specialized sensing mechanisms in bacteria enable the identification of cognate ligands with remarkable selectivity in highly xenobiotic-polluted environments, where these ligands are utilized as energy sources. Here, via an integrated all-atom computer simulation, biochemical assay and isothermal titration calorimetry approaches we determine the molecular basis of MopR, a phenol biosensor’s complex selection process of ligand entry. Our results reveal a set of strategically placed selectivity filters along the ligand entry pathway of MopR. These filters act as checkpoints, screening diverse aromatic ligands at the protein surface based on their chemical features and sizes. Ligands meeting specific criteria are allowed to enter the sensing site in an orientation-dependent manner. Sequence and structural analyses demonstrate the conservation of this ligand entry mechanism across the sensor class, with individual amino acids along the selectivity filter path playing a critical role in ligand selection. Together, this investigation highlights the importance of interactions with the ligand entry pathway, in addition to interactions within the binding pocket, for achieving ligand selectivity in biological sensing. The findings enhance our understanding of ligand selectivity in bacterial phenol biosensors and provide insights for the rational expansion of the biosensor repertoire, particularly for the biotechnologically relevant class of aromatic pollutants.

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Research works printed but not linked: 68

  1. 10.1128/MMBR.00006-12 · DOI
  2. 10.1126/science.aab1478 · DOI
  3. 10.1128/JB.185.6.1757-1767.2003 · DOI
  4. 10.1126/science.1121357 · DOI
  5. 2012, Coupling AAA protein function to regulated gene expression, Biochimica et Biophysica Acta (BBA)-Molecular Cell Research, 1823, 108, 10.1016/j.bbamcr.2011.08.012 · DOI
  6. 10.1128/MMBR.68.3.474-500.2004 · DOI
  7. 10.1016/j.tim.2007.09.008 · DOI
  8. 10.1046/j.1365-2958.1996.388920.x · DOI
  9. 10.1111/j.1574-6976.2010.00255.x · DOI
  10. 2020, Tetrameric architecture of an active phenol-bound form of the AAA+ transcriptional regulator DmpR, Nature communications, 11, 1
  11. 10.1128/jb.179.4.1329-1336.1997 · DOI
  12. 10.1016/S0168-1656(03)00122-6 · DOI
  13. 2016, Structural basis of selective aromatic pollutant sensing by the effector binding domain of MopR, an NtrC family transcriptional regulator, ACS Chemical Biology, 11, 2357, 10.1021/acschembio.6b00020 · DOI
  14. 10.1016/j.str.2016.03.006 · DOI
  15. 2017, Structure guided design of protein biosensors for phenolic pollutants, ACS sensors, 2, 411, 10.1021/acssensors.6b00843 · DOI
  16. 2018, Design of protein-based biosensors for selective detection of benzene groups of pollutants, ACS sensors, 3, 1632, 10.1021/acssensors.8b00190 · DOI
  17. 2021, Tunable multiplexed whole-cell biosensors as environmental diagnostics for ppb-level detection of aromatic pollutants, ACS sensors, 6, 1933, 10.1021/acssensors.1c00329 · DOI
  18. 2018, Design of ultrasensitive protein biosensor strips for selective detection of aromatic contaminants in environmental wastewater, Analytical chemistry, 90, 8960, 10.1021/acs.analchem.8b01130 · DOI
  19. 2022, Crystal structure of the α1B-adrenergic receptor reveals molecular determinants of selective ligand recognition. Nature communications, 13, 1
  20. 2019, Residence time prediction of type 1 and 2 kinase inhibitors from unbinding simulations, Journal of Chemical Information and Modeling, 60, 342
  21. 10.1021/jacs.6b01232 · DOI
  22. 10.1021/acs.accounts.5b00516 · DOI
  23. 2017, Conformation transitions of the polypeptide-binding pocket support an active substrate release from Hsp70s, Nature communications, 8, 1
  24. 10.1038/nature06232 · DOI · Paper page
  25. 10.1016/j.bpj.2015.06.059 · DOI
  26. 2018, Mapping the substrate recognition pathway in cytochrome P450, Journal of the American Chemical Society, 140, 17743, 10.1021/jacs.8b10840 · DOI
  27. Mondal, J. ; Ahalawat, N. ; Pandit, S. ; Kay, L. E. ; Vallurupalli, P . Atomic resolution mechanism of ligand binding to a solvent inaccessible cavity in T4 lysozyme. PLoS computational biology 2018, 14, e1006180. · DOI
  28. 10.1016/S0006-3495(98)77529-0 · DOI
  29. 2003, The flexing/twirling helix: exploring the flexibility about molecular hinges formed by proline and glycine motifs in transmembrane helices, The Journal of Physical Chemistry B, 107, 627, 10.1021/jp026686u · DOI
  30. Prinz, J.-H. ; Wu, H. ; Sarich, M. ; Keller, B. ; Senne, M. ; Held, M. ; Chodera, J. D. ; Schütte, C.; Nóe, F. Markov models of molecular kinetics: Generation and validation. The Journal of chemical physics 2011, 134, 174105. · DOI · Paper page
  31. Singh, J. ; Sahil, M. ; Ray, S. ; Dcosta, C. ; Panjikar, S. ; Krishnamoorthy, G. ; Mondal, J. ; Anand, R . Phenol Sensing in Nature Modulated via a Conformational Switch Governed by Dynamic Allostery. bioRxiv 2022, · DOI
  32. 10.1073/pnas.1114017109 · DOI
  33. 1991, An upstream XylR-and IHFinduced nucleoprotein complex regulates the sigma 54-dependent Pu promoter of TOL plasmid, The EMBO Journal, 10, 1159, 10.1002/j.1460-2075.1991.tb08056.x · DOI
  34. Du, X. ; Li, Y. ; Xia, Y.-L. ; Ai, S.-M. ; Liang, J. ; Sang, P. ; Ji, X.-L. ; Liu, S.-Q . Insights into protein–ligand interactions: mechanisms, models, and methods. International journal of molecular sciences 2016, 17, 144. · DOI
  35. 10.1128/JB.182.2.405-417.2000 · DOI
  36. 10.1002/jcc.21600 · DOI
  37. 2021, Reconciling conformational heterogeneity and substrate recognition in cytochrome P450, Biophysical Journal, 120, 1732, 10.1016/j.bpj.2021.02.040 · DOI · Paper page
  38. Wollenberger, U. ; Lisdat, F. ; Rose, A. ; Streffer, K . Phenolic biosensors; John Wiley & Sons, Ltd: Chichester, UK, 2008. · DOI
  39. 2022, Boronic Acid Substituted Polyaniline Based Enzymatic Biosensor System for Catechol Detection, Electroanalysis, 34, 33, 10.1002/elan.202100271 · DOI
  40. Liu, Y. ; Chen, Y. ; Fan, Y. ; Gao, G. ; Zhi, J . Development of a Tyrosinase Amperometric Biosensor Based on Carbon Nanomaterials for the Detection of Phenolic Pollutants in Diverse Environments. ChemElectroChem 2022, 9, e202200861. · DOI
  41. 2019, Pnictogen-based enzymatic phenol biosensors: phosphorene, arsenene, antimonene, and bismuthene, Angewandte Chemie International Edition, 58, 134, 10.1002/anie.201808846 · DOI
  42. Zhang, M. ; Yang, B. ; Zhang, J. ; Song, Y. ; Wang, W. ; Li, N. ; Wang, Y. ; Li, W. ; Wang, J . Monitoring the Dynamic Regulation of the Mitochondrial GTP-to-GDP Ratio with a Genetically Encoded Fluorescent Biosensor. Angewandte Chemie International Edition 2022, 61, e202201266. · DOI
  43. 2019, Exploring the trans-cleavage activity of CRISPR-Cas12a (cpf1) for the development of a universal electrochemical biosensor, Angewandte Chemie, 131, 17560, 10.1002/ange.201910772 · DOI
  44. others, 2016, CHARMM-GUI input generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM simulations using the CHARMM36 additive force field. Journal of chemical theory and computation, 12, 405
  45. 2010, Molecular dynamics simulations of Zn 2+ coordination in protein binding sites, The Journal of chemical physics, 132, 05B
  46. 2017, CHARMM36m: an improved force field for folded and intrinsically disordered proteins, Nature methods, 14, 71, 10.1038/nmeth.4067 · DOI
  47. 10.1063/1.445869 · DOI
  48. 10.1080/00268978400101201 · DOI
  49. 10.1103/PhysRevA.31.1695 · DOI
  50. 10.1063/1.328693 · DOI
  51. 10.1063/1.464397 · DOI
  52. 10.1016/j.cpc.2013.06.003 · DOI
  53. 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.3.CO;2-L · DOI
  54. 10.1002/jcc.540130805 · DOI
  55. 10.1016/j.ymeth.2010.06.002 · DOI · Paper page
  56. 2015, PyEMMA 2: A software package for estimation, validation, and analysis of Markov models, Journal of chemical theory and computation, 11, 5525, 10.1021/acs.jctc.5b00743 · DOI
  57. 10.1103/PhysRevLett.72.3634 · DOI · Paper page
  58. 1982, Least squares quantization in PCM, IEEE transactions on information theory, 28, 129, 10.1109/TIT.1982.1056489 · DOI · Paper page
  59. 2000, Identification of almost invariant aggregates in reversible nearly uncoupled Markov chains, Linear Algebra and its Applications, 315, 39, 10.1016/S0024-3795(00)00095-1 · DOI
  60. 2009, Transition path theory for Markov jump processes, Multiscale Modeling & Simulation, 7, 1192, 10.1137/070699500 · DOI
  61. 10.1016/0021-9991(77)90121-8 · DOI · Paper page
  62. 1992, The weighted histogram analysis method for free-energy calculations on biomolecules, I. The method. Journal of computational chemistry, 13, 1011, 10.1002/jcc.540130812 · DOI · Paper page
  63. 2011, Replica exchange with solute scaling: a more efficient version of replica exchange with solute tempering (REST2), The Journal of Physical Chemistry B, 115, 9431, 10.1021/jp204407d · DOI
  64. 2019, In Silico reoptimization of binding affinity and drug-resistance circumvention ability in kinase inhibitors: a case study with RL-45 and Src kinase, The Journal of Physical Chemistry B, 123, 6664, 10.1021/acs.jpcb.9b02883 · DOI
  65. Aldeghi, M. ; Bluck, J. P. ; Biggin, P. C. Computational Drug Discovery and Design; Springer, 2018; pp 199–232. · DOI
  66. Gapsys, V. ; Michielssens, S. ; Seeliger, D. ; De Groot, B. L. pmx: Automated protein structure and topology generation for alchemical perturbations. 2015. · DOI
  67. 10.1016/0021-9991(76)90078-4 · DOI
  68. 2004, Thermodynamics of protein–ligand interactions: history, presence, and future aspects, Journal of Receptors and Signal Transduction, 24, 1, 10.1081/RRS-120037896 · DOI

Metadata

Authors
Sahil, M., Singh, J., Sahu, S., Pal, S., Yadav, A., Anand, R., & Mondal, J.
Affiliations
  • Tata Institute of Fundamental Research (IN)
  • Indian Institute of Technology Bombay (IN)
Corresponding author
  • Anand, Ruchi
  • Mondal, Jagannath
Venue
JACS Au
Publisher
openRxiv
Published
2023-07-12
Volume
3
Issue
10
Pages
2800-2812
ISSN
2691-3704 (ISSN-L)
OpenAlex
W4386827409
Cited by
6
References
2
Citations by year
2026: 2 · 2025: 1 · 2024: 3
FWCI
0.53
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • JACS Au (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Department of Science and Technology, Ministry of Science and Technology, India (DST /TMD-EWO/WTI/2K19/EWFH/2019/48(G), DST/TMD-EWO/WTI/2K19/EWFH/2019/48)
  • Department of Atomic Energy, Government of India (RTI 4007)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › bioluminescence and chemiluminescence research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
Keywords
ligand selectivity, selectivity filter, bacterial chemotaxis, ligand screening, aromatic pollutants, protein-ligand interactions

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