7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Resolving Chemical Dynamics in Biological Energy Conversion: Long-Range Proton-Coupled Electron Transfer in Respiratory Complex I

      research-article
      Accounts of Chemical Research
      American Chemical Society

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Conspectus

          Biological energy conversion is catalyzed by membrane-bound proteins that transduce chemical or light energy into energy forms that power endergonic processes in the cell. At a molecular level, these catalytic processes involve elementary electron-, proton-, charge-, and energy-transfer reactions that take place in the intricate molecular machineries of cell respiration and photosynthesis. Recent developments in structural biology, particularly cryo-electron microscopy (cryoEM), have resolved the molecular architecture of several energy transducing proteins, but detailed mechanistic principles of their charge transfer reactions still remain poorly understood and a major challenge for modern biochemical research. To this end, multiscale molecular simulations provide a powerful approach to probe mechanistic principles on a broad range of time scales (femtoseconds to milliseconds) and spatial resolutions (10 1–10 6 atoms), although technical challenges also require balancing between the computational accuracy, cost, and approximations introduced within the model. Here we discuss how the combination of atomistic (aMD) and hybrid quantum/classical molecular dynamics (QM/MM MD) simulations with free energy (FE) sampling methods can be used to probe mechanistic principles of enzymes responsible for biological energy conversion. We present mechanistic explorations of long-range proton-coupled electron transfer (PCET) dynamics in the highly intricate respiratory chain enzyme Complex I, which functions as a redox-driven proton pump in bacterial and mitochondrial respiratory chains by catalyzing a 300 Å fully reversible PCET process. This process is initiated by a hydride (H ) transfer between NADH and FMN, followed by long-range (>100 Å) electron transfer along a wire of 8 FeS centers leading to a quinone biding site. The reduction of the quinone to quinol initiates dissociation of the latter to a second membrane-bound binding site, and triggers proton pumping across the membrane domain of complex I, in subunits up to 200 Å away from the active site. Our simulations across different size and time scales suggest that transient charge transfer reactions lead to changes in the internal hydration state of key regions, local electric fields, and the conformation of conserved ion pairs, which in turn modulate the dynamics of functional steps along the reaction cycle. Similar functional principles, which operate on much shorter length scales, are also found in some unrelated proteins, suggesting that enzymes may employ conserved principles in the catalysis of biological energy transduction processes.

          Related collections

          Most cited references69

          • Record: found
          • Abstract: found
          • Article: not found

          QM/MM methods for biomolecular systems.

          Combined quantum-mechanics/molecular-mechanics (QM/MM) approaches have become the method of choice for modeling reactions in biomolecular systems. Quantum-mechanical (QM) methods are required for describing chemical reactions and other electronic processes, such as charge transfer or electronic excitation. However, QM methods are restricted to systems of up to a few hundred atoms. However, the size and conformational complexity of biopolymers calls for methods capable of treating up to several 100,000 atoms and allowing for simulations over time scales of tens of nanoseconds. This is achieved by highly efficient, force-field-based molecular mechanics (MM) methods. Thus to model large biomolecules the logical approach is to combine the two techniques and to use a QM method for the chemically active region (e.g., substrates and co-factors in an enzymatic reaction) and an MM treatment for the surroundings (e.g., protein and solvent). The resulting schemes are commonly referred to as combined or hybrid QM/MM methods. They enable the modeling of reactive biomolecular systems at a reasonable computational effort while providing the necessary accuracy.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            THE weighted histogram analysis method for free-energy calculations on biomolecules. I. The method

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Nonphysical sampling distributions in Monte Carlo free-energy estimation: Umbrella sampling

                Bookmark

                Author and article information

                Journal
                Acc Chem Res
                Acc Chem Res
                ar
                achre4
                Accounts of Chemical Research
                American Chemical Society
                0001-4842
                1520-4898
                13 December 2021
                21 December 2021
                : 54
                : 24
                : 4462-4473
                Affiliations
                Department of Biochemistry and Biophysics, Stockholm University , 10691 Stockholm, Sweden
                Author notes
                Author information
                https://orcid.org/0000-0003-4464-6324
                Article
                10.1021/acs.accounts.1c00524
                8697550
                34894649
                8b4d8802-ae4f-40ff-967b-d2eb0b4ce3ff
                © 2021 The Author. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 20 August 2021
                Funding
                Funded by: H2020 European Research Council, doi 10.13039/100010663;
                Award ID: 715311
                Funded by: Vetenskapsrådet, doi 10.13039/501100004359;
                Award ID: NA
                Funded by: Knut och Alice Wallenbergs Stiftelse, doi 10.13039/501100004063;
                Award ID: NA
                Funded by: Cancerfonden, doi 10.13039/501100002794;
                Award ID: NA
                Categories
                Article
                Custom metadata
                ar1c00524
                ar1c00524

                General chemistry
                General chemistry

                Comments

                Comment on this article