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Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models

Author

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  • Nuria Plattner

    (Computer Science and Bioinformatics, Free University Berlin)

  • Frank Noé

    (Computer Science and Bioinformatics, Free University Berlin)

Abstract

Understanding the structural mechanisms of protein–ligand binding and their dependence on protein sequence and conformation is of fundamental importance for biomedical research. Here we investigate the interplay of conformational change and ligand-binding kinetics for the serine protease Trypsin and its competitive inhibitor Benzamidine with an extensive set of 150 μs molecular dynamics simulation data, analysed using a Markov state model. Seven metastable conformations with different binding pocket structures are found that interconvert at timescales of tens of microseconds. These conformations differ in their substrate-binding affinities and binding/dissociation rates. For each metastable state, corresponding solved structures of Trypsin mutants or similar serine proteases are contained in the protein data bank. Thus, our wild-type simulations explore a space of conformations that can be individually stabilized by adding ligands or making suitable changes in protein sequence. These findings provide direct evidence of conformational plasticity in receptors.

Suggested Citation

  • Nuria Plattner & Frank Noé, 2015. "Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8653
    DOI: 10.1038/ncomms8653
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    Cited by:

    1. Polydefkis Diamantis & Oliver T Unke & Markus Meuwly, 2017. "Migration of small ligands in globins: Xe diffusion in truncated hemoglobin N," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-22, March.
    2. Narjes Ansari & Valerio Rizzi & Michele Parrinello, 2022. "Water regulates the residence time of Benzamidine in Trypsin," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Meiying Cui & Dzung Nguyen & Michelle Patino Gaillez & Stephan Heiden & Weilin Lin & Michael Thompson & Francesco V. Reddavide & Qinchang Chen & Yixin Zhang, 2023. "Trio-pharmacophore DNA-encoded chemical library for simultaneous selection of fragments and linkers," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Kalyan S. Chakrabarti & Simon Olsson & Supriya Pratihar & Karin Giller & Kerstin Overkamp & Ko On Lee & Vytautas Gapsys & Kyoung-Seok Ryu & Bert L. Groot & Frank Noé & Stefan Becker & Donghan Lee & Th, 2022. "A litmus test for classifying recognition mechanisms of transiently binding proteins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Trayder Thomas & Benoît Roux, 2021. "Tyrosine kinases: complex molecular systems challenging computational methodologies," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(10), pages 1-13, October.

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