Mapping the Substrate Recognition Pathway in Cytochrome P450
Open accessPreprint — published as 10.1021/jacs.8b10840
Abstract
Cytochrome P450s are ubiquitous metalloenzymes involved in the metabolism and detoxification of foreign components via catalysis of the hydroxylation reactions of a vast array of organic substrates. However, despite the breadth of cytochrome P450 mediated reactions, a long-standing question is: How does the substrate, in the first place, access the catalytic center of cytochrome P450? The prevalence of conflicting crystallographic evidences of both closed and open catalytic center in the substrate-free and substrate-bound cytochrome P450 has given rise to a notion of conformational heterogeneity, which makes the plausible mechanism of substrate recognition by cytochrome P450 puzzling from structural point of view. Here we report multi-microsecond-long unbiased molecular dynamics simulations, which are able to capture the spontaneous process of binding of substrate from bulk solvent to the occluded catalytic center of an archetypal system cytochrome P450cam, at an atomistic precision. In all binding trajectories, the substrate enters through a single channel, where it makes its first contact with the protein-surface and subsequently dwells in a highly long-lived intermediate state, before sliding into the catalytic center of P450cam. The simulated substrate-bound pose and crystallographic pose are in excellent agreement. Contrary to the prevalent hypotheses, our results indicate that a large-scale opening of F/G loop of P450cam is not required for passage of substrate to the catalytic center. Rather, we find that a substrate-induced side-chain displacement of Phe87 residue, coupled with a complex array of dynamical interconversions of multiple metastable substrate conformations along the entry channel, drives the substrate recognition in P450cam. By reconciling multiple precedent investigations, this work put forward an unambiguous view of the substrate recognition mechanism in deep buried cavity of cytochrome P450.
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Cites
Identification of slow molecular order parameters for Markov model construction
Pérez-Hernández, G., Paul, F., Giorgino, T., De Fabritiis, G., & Noé, F. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4811489 · Cited by 990 · see citing works
Markov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776 · see citing works
Schwantes, C. R., & Pande, V. S. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct300878a · Cited by 597 · see citing works
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- Authors
- Ahalawat, N., & Mondal, J.
- Affiliations
- Tata Institute of Fundamental Research (IN)
- Corresponding author
- Mondal, Jagannath
- Venue
- Journal of the American Chemical Society
- Publisher
- openRxiv
- Published
- 2018-09-13
- Volume
- 140
- Issue
- 50
- Pages
- 17743-17752
- ISSN
- 0002-7863 (ISSN-L)
- OpenAlex
- W2953039797
- Cited by
- 60
- References
- 3
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 2 · 2023: 14 · 2022: 5 · 2021: 9 · 2020: 7 · 2019: 5
- FWCI
- 2.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of the American Chemical Society (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Tata Institute of Fundamental Research
- Department of Science and Technology, Ministry of Science and Technology, India (ECR/2016/000672)
- Topics
- Physical Sciences › Chemistry › Inorganic Chemistry › Metal-Catalyzed Oxygenation Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Keywords
- cytochrome P450, P450cam, substrate recognition, conformational heterogeneity, binding pathway, Markov state models, free energy analysis, protein conformational dynamics, hydroxylation
- MeSH terms
- Bacterial Proteins, Camphor, Markov Chains, Protein Binding, Protein Conformation, Substrate Specificity, Pseudomonas putida, Camphor 5-Monooxygenase, Catalytic Domain, Molecular Dynamics Simulation
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