» Articles » PMID: 28937668

Complete Protein-protein Association Kinetics in Atomic Detail Revealed by Molecular Dynamics Simulations and Markov Modelling

Overview
Journal Nat Chem
Specialty Chemistry
Date 2017 Sep 23
PMID 28937668
Citations 125
Authors
Affiliations
Soon will be listed here.
Abstract

Protein-protein association is fundamental to many life processes. However, a microscopic model describing the structures and kinetics during association and dissociation is lacking on account of the long lifetimes of associated states, which have prevented efficient sampling by direct molecular dynamics (MD) simulations. Here we demonstrate protein-protein association and dissociation in atomistic resolution for the ribonuclease barnase and its inhibitor barstar by combining adaptive high-throughput MD simulations and hidden Markov modelling. The model reveals experimentally consistent intermediate structures, energetics and kinetics on timescales from microseconds to hours. A variety of flexibly attached intermediates and misbound states funnel down to a transition state and a native basin consisting of the loosely bound near-native state and the tightly bound crystallographic state. These results offer a deeper level of insight into macromolecular recognition and our approach opens the door for understanding and manipulating a wide range of macromolecular association processes.

Citing Articles

Ionic liquids as stabilisers of therapeutic protein formulations: a review of insulin and monoclonal antibodies.

Tien S, Kayser V Biophys Rev. 2025; 17(1):89-101.

PMID: 40060006 PMC: 11885717. DOI: 10.1007/s12551-024-01261-y.


AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics.

Mirarchi A, Pelaez R, Simeon G, De Fabritiis G J Chem Theory Comput. 2024; 20(22):9871-9878.

PMID: 39514694 PMC: 11603603. DOI: 10.1021/acs.jctc.4c01239.


Computational screening of the effects of mutations on protein-protein off-rates and dissociation mechanisms by τRAMD.

DArrigo G, Kokh D, Nunes-Alves A, Wade R Commun Biol. 2024; 7(1):1159.

PMID: 39289580 PMC: 11408511. DOI: 10.1038/s42003-024-06880-5.


Structure prediction of alternative protein conformations.

Bryant P, Noe F Nat Commun. 2024; 15(1):7328.

PMID: 39187507 PMC: 11347660. DOI: 10.1038/s41467-024-51507-2.


Protein Retrieval via Integrative Molecular Ensembles (PRIME) through Extended Similarity Indices.

Chen L, Mondal A, Perez A, Alain Miranda-Quintana R J Chem Theory Comput. 2024; 20(14):6303-6315.

PMID: 38978294 PMC: 11807272. DOI: 10.1021/acs.jctc.4c00362.


References
1.
Trendelkamp-Schroer B, Wu H, Paul F, Noe F . Estimation and uncertainty of reversible Markov models. J Chem Phys. 2015; 143(17):174101. DOI: 10.1063/1.4934536. View

2.
Plattner N, Noe F . Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models. Nat Commun. 2015; 6:7653. PMC: 4506540. DOI: 10.1038/ncomms8653. View

3.
Schreiber G, Haran G, Zhou H . Fundamental aspects of protein-protein association kinetics. Chem Rev. 2009; 109(3):839-60. PMC: 2880639. DOI: 10.1021/cr800373w. View

4.
Best R, Zhu X, Shim J, Lopes P, Mittal J, Feig M . Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles. J Chem Theory Comput. 2013; 8(9):3257-3273. PMC: 3549273. DOI: 10.1021/ct300400x. View

5.
Doerr S, Harvey M, Noe F, De Fabritiis G . HTMD: High-Throughput Molecular Dynamics for Molecular Discovery. J Chem Theory Comput. 2016; 12(4):1845-52. DOI: 10.1021/acs.jctc.6b00049. View