Literature DB >> 28423275

Single or Multiple Access Channels to the CYP450s Active Site? An Answer from Free Energy Simulations of the Human Aromatase Enzyme.

Alessandra Magistrato1, Jacopo Sgrignani2, Rolf Krause3, Andrea Cavalli2.   

Abstract

Cytochromes P450 (CYP450s), in particular, CYP19A1 and CYP17A1, are key clinical targets of breast and prostate anticancer therapies, critical players in drug metabolism, and their overexpression in tumors is associated with drug resistance. In these enzymes, ligand (substrates, drugs) metabolism occurs in deeply buried active sites accessible only via several grueling channels, whose exact biological role remains unclear. Gaining direct insights on the mechanism by which ligands travel in and out is becoming increasingly important given that channels are involved in the modulation of binding/dissociation kinetics and the specificity of ligands toward a CYP450. This has profound implications for enzymatic efficiency and drug efficacy/toxicity. Here, by applying free energy methods, for a cumulative simulation time of 20 μs, we provide detailed atomistic characterization and free energy profiles of the entry/exit routes preferentially followed by a substrate (androstenedione) and a last-generation inhibitor (letrozole) to/from the catalytic site of CYP19A1 (the human aromatase (HA) enzyme), a key clinical target against breast cancer, studied here as prototypical CYP450. Despite the remarkably different size/shape/hydrophobicity of the ligands, two channels appear accessible to their entrance, while only one exit route appears to be preferential. Our study shows that the preferential paths may be conserved among different CYP450s. Moreover, our results highlight that, at least in the case of HA, ligand channeling is associated with large enzyme structural rearrangements. A wise choice of the computational method and very long simulations are, thus, required to obtain fully converged quantitative free energy profiles, which might be used to design novel biocatalysts or next-generation cytochrome inhibitors with an in silico tuned Km.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28423275     DOI: 10.1021/acs.jpclett.7b00697

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  16 in total

Review 1.  An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

Authors:  Ugo Perricone; Maria Rita Gulotta; Jessica Lombino; Barbara Parrino; Stella Cascioferro; Patrizia Diana; Girolamo Cirrincione; Alessandro Padova
Journal:  Medchemcomm       Date:  2018-04-19       Impact factor: 3.597

Review 2.  Human cytochrome P450 enzymes 5-51 as targets of drugs and natural and environmental compounds: mechanisms, induction, and inhibition - toxic effects and benefits.

Authors:  Slobodan P Rendic; F Peter Guengerich
Journal:  Drug Metab Rev       Date:  2018-08       Impact factor: 4.518

3.  Escape of a Small Molecule from Inside T4 Lysozyme by Multiple Pathways.

Authors:  Ariane Nunes-Alves; Daniel M Zuckerman; Guilherme Menegon Arantes
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

4.  Targeting Orthosteric and Allosteric Pockets of Aromatase via Dual-Mode Novel Azole Inhibitors.

Authors:  Jessica Caciolla; Angelo Spinello; Silvia Martini; Alessandra Bisi; Nadia Zaffaroni; Silvia Gobbi; Alessandra Magistrato
Journal:  ACS Med Chem Lett       Date:  2020-03-23       Impact factor: 4.345

5.  Thermodynamics of camphor migration in cytochrome P450cam by atomistic simulations.

Authors:  J Rydzewski; W Nowak
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

6.  Molecular Dynamics Simulation Framework to Probe the Binding Hypothesis of CYP3A4 Inhibitors.

Authors:  Yusra Sajid Kiani; Kara E Ranaghan; Ishrat Jabeen; Adrian J Mulholland
Journal:  Int J Mol Sci       Date:  2019-09-10       Impact factor: 5.923

7.  Dynamics Insights Into the Gain of Flexibility by Helix-12 in ESR1 as a Mechanism of Resistance to Drugs in Breast Cancer Cell Lines.

Authors:  Abbas Khan; Muhammad Junaid; Cheng-Dong Li; Shoaib Saleem; Fahad Humayun; Shazia Shamas; Syed Shujait Ali; Zainib Babar; Dong-Qing Wei
Journal:  Front Mol Biosci       Date:  2020-01-24

8.  A Computational Assay of Estrogen Receptor α Antagonists Reveals the Key Common Structural Traits of Drugs Effectively Fighting Refractory Breast Cancers.

Authors:  Matic Pavlin; Angelo Spinello; Marzia Pennati; Nadia Zaffaroni; Silvia Gobbi; Alessandra Bisi; Giorgio Colombo; Alessandra Magistrato
Journal:  Sci Rep       Date:  2018-01-12       Impact factor: 4.379

9.  How phosphorylation influences E1 subunit pyruvate dehydrogenase: A computational study.

Authors:  Jacopo Sgrignani; JingJing Chen; Andrea Alimonti; Andrea Cavalli
Journal:  Sci Rep       Date:  2018-10-02       Impact factor: 4.379

Review 10.  How Computational Chemistry and Drug Delivery Techniques Can Support the Development of New Anticancer Drugs.

Authors:  Mariangela Garofalo; Giovanni Grazioso; Andrea Cavalli; Jacopo Sgrignani
Journal:  Molecules       Date:  2020-04-10       Impact factor: 4.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.