4.7 Article

Role of the Membrane Dipole Potential for Proton Transport in Gramicidin A Embedded in a DMPC Bilayer

Journal

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Volume 9, Issue 8, Pages 3826-3831

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ct400374n

Keywords

-

Ask authors/readers for more resources

The membrane potential at the water/phospholipid interfaces may play a key role for proton conduction of gramicidin A (gA). Here we address this issue by Density Functional Theory-based molecular dynamics and metadynamics simulations. The calculations, performed on gA embedded in a solvated 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) model membrane environment (about 2,000 atoms), indicate that (1) the membrane dipole potential rises at the channel mouth by similar to 0.4 V. A similar value has been measured for gA embedded in a DMPC monolayer; (ii) the calculated free energy barrier is located at the channel entrance, consistent with experiments comparing gA proton conduction in different bilayers. The electronic structures of the proton ligands (water molecules and peptide units) are similar to those in the bulk solvent. Based on these results, we suggest an important role of the membrane dipole potential for the free energy barrier of proton permeation of gA. This may provide a rationale for the large increase in the rate of proton conduction under application of a transmembrane voltage, as observed experimentally. Our calculations might suggest also a role for proton desolvation for the permeation process. This role has already emerged from EVB calculations on gA embedded in a model membrane.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Physical

Wavefunction-Based Electrostatic-Embedding QM/MM Using CFOUR through MiMiC

Till Kirsch, Jogvan Magnus Haugaard Olsen, Viacheslav Bolnykh, Simone Meloni, Emiliano Ippoliti, Ursula Rothlisberger, Michele Cascella, Juergen Gauss

Summary: This study presents an interface of the wavefunction-based quantum chemical software CFOUR to the multiscale modeling framework MiMiC and validates its robustness and performance, including fast convergence and optimal energy conservation. The compatibility with the use of a QM/QM multiple time-step algorithm for reducing the cost of simulations using higher level wavefunction-based approaches is also pointed out.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2022)

Article Chemistry, Physical

Molecular Dynamics-Assisted Interpretation of Experimentally Determined Intrinsically Disordered Protein Conformational Components: The Case of Human ?-Synuclein

Oscar Palomino-Hernandez, Carlo Santambrogio, Giulia Rossetti, Claudio O. Fernandez, Rita Grandori, Paolo Carloni

Summary: Mass spectrometry and single molecule force microscopy are experimental techniques that provide structural information on intrinsically disordered proteins (IDPs). This study analyzed molecular dynamics simulation data and experimental results to describe the main conformational ensemble of human alpha synuclein (AS) and shed light on its intramolecular interactions and overall compactness.

JOURNAL OF PHYSICAL CHEMISTRY B (2022)

Article Chemistry, Medicinal

Molecular Dynamics and Structural Studies of Zinc Chloroquine Complexes

Mirko Paulikat, Daniele Vitone, Florian K. Schackert, Nils Schuth, Alessandra Barbanente, GiovanniMaria Piccini, Emiliano Ippoliti, Giulia Rossetti, Adam H. Clark, Maarten Nachtegaal, Michael Haumann, Holger Dau, Paolo Carloni, Silvano Geremia, Rita De Zorzi, Liliana Quintanar, Fabio Arnesano

Summary: This study elucidated the structural determinants of zinc-chloroquine interactions and zinc distribution in cells using computational and experimental methods. Chloroquine binds zinc through the quinoline ring nitrogen, forming tetrahedral complexes, but loses metal coordination at low pH. The findings have implications for other metal-targeting drugs and bioinorganic systems.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Medicinal

Predictions of the Poses and Affinity of a Ligand over the Entire Surface of a NEET Protein: The Case of Human MitoNEET

Ke Zuo, Riccardo Capelli, Giulia Rossetti, Rachel Nechushtai, Paolo Carloni

Summary: Human NEET proteins containing iron-sulfur clusters have been identified as potential drug targets for mitochondrial dysfunction-related diseases. However, the lack of understanding of ligand binding to the cytoplasmic domain of NEET protein has hindered rational drug design approaches.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Physical

Structure-Based Screening Reveals a Ligand That Stabilizes the [2Fe-2S] Clusters of Human mitoNEET and Reduces Ovarian Cancer Cell Proliferation

Henri-Baptiste Marjault, Sohn Yang-Sung, Ke Zuo, Paolo Carloni, Ron Mittler, Rachel Nechushtai

Summary: This study identified a new human mitoNEET binding ligand (NTS-01) that specifically binds to the human mNT protein and stabilizes its [2Fe-2S] clusters under oxidative conditions in vitro. Treatment with NTS-01 induces mitochondrial fragmentation and reduces ovarian cancer cell proliferation. The NTS-01 molecule represents a promising lead compound for further drug design studies against ovarian cancer.

JOURNAL OF PHYSICAL CHEMISTRY B (2022)

Article Chemistry, Physical

Proton Transfers to DNA in Native Electrospray Ionization Mass Spectrometry: A Quantum Mechanics/Molecular Mechanics Study

Mirko Paulikat, Juan Aranda, Emiliano Ippoliti, Modesto Orozco, Paolo Carloni

Summary: The authors used classical molecular dynamics and quantum mechanics/molecular mechanics methods to investigate proton transfer processes in N-ESI/IM-MS, and validated the simulation results with experimental data. The study revealed that the distribution of protons depends on the hydration level of the analytes and the size of droplets formed during electrospray experiments.

JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2022)

Article Chemistry, Medicinal

Drug Design in the Exascale Era: A Perspective from Massively Parallel QM/MM Simulations

Bharath Raghavan, Mirko Paulikat, Katya Ahmad, Lara Callea, Andrea Rizzi, Emiliano Ippoliti, Davide Mandelli, Laura Bonati, Marco De Vivo, Paolo Carloni

Summary: Currently, in silico drug design in the initial stages of drug discovery can benefit from first-principle Quantum Mechanics/Molecular Mechanics (QM/MM) molecular dynamics (MD) simulations in explicit solvent, but many applications are limited by the short time scales that this approach can cover. The development of scalable first principle QM/MM MD interfaces that fully exploit current exascale machines is crucial in overcoming this problem and allowing for the study of ligand binding to protein with first principle accuracy. This study showcases the use of the Multiscale Modeling in Computational Chemistry (MiMiC) QM/MM framework, which demonstrates strong scaling and parallel efficiency of >70% up to >80,000 cores, making it a promising candidate for exascale applications.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Medicinal

MiMiCPy: An Efficient Toolkit for MiMiC-Based QM/MM Simulations

Bharath Raghavan, Florian K. Schackert, Andrea Levy, Sophia K. Johnson, Emiliano Ippoliti, Davide Mandelli, Jogvan Magnus Haugaard Olsen, Ursula Rothlisberger, Paolo Carloni

Summary: MiMiC is a flexible and scalable multiscale modeling framework that combines quantum mechanics (QM) and molecular mechanics (MM) codes. The paragraph introduces MiMiCPy, a user-friendly tool written in Python 3 that automates the preparation of MiMiC input files. It also highlights the modular structure of MiMiCPy, allowing for easy extensions to new program formats.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Chemistry, Medicinal

Mechanism of Calcium Permeation in a Glutamate Receptor Ion Channel

Florian Karl Schackert, Johann Biedermann, Saeid Abdolvand, Sonja Minniberger, Chen Song, Andrew J. R. Plested, Paolo Carloni, Han Sun

Summary: This study investigates calcium conduction in calcium-permeable AMPAR using Molecular Dynamics (MD) simulations and multiscale Quantum Mechanics/Molecular Mechanics (QM/MM) simulations. The results explain the distinct calcium permeability in different RNA-edited forms of GluA2 and provide unprecedented insights into Ca(2+) permeation mechanisms in AMPARs.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2023)

Article Biochemistry & Molecular Biology

Low Molecular Weight Inhibitors Targeting the RNA-Binding Protein HuR

Benjamin Philipp Joseph, Verena Weber, Lisa Knuepfer, Alejandro Giorgetti, Mercedes Alfonso-Prieto, Sybille Krauss, Paolo Carloni, Giulia Rossetti

Summary: In this study, novel HuR inhibitors were identified using a combination of chemoinformatic methods, high-throughput virtual screening, and RNA-protein pulldown assays. The 4-(2-(2,4,6-trioxotetrahydropyrimidin-5(2H)-ylidene)hydrazineyl)benzoate ligand showed dose-dependent inhibition of HuR binding. This novel chemical scaffold provides a new avenue for the design of pharmaceutical agents targeting HuR.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Multidisciplinary Sciences

Fluoride permeation mechanism of the Fluc channel in liposomes revealed by solid-state NMR

Jin Zhang, Dan Song, Florian Karl Schackert, Juan Li, Shengqi Xiang, Changlin Tian, Weimin Gong, Paolo Carloni, Mercedes Alfonso-Prieto, Chaowei Shi

Summary: In this study, ssNMR and molecular dynamics simulations were used to investigate the fluoride channel Fluc-Ec1 in phospholipid bilayers. Previously unidentified fluoride binding sites and a water molecule binding site in the polar track were discovered. Additionally, a dynamic hotspot at loop 1 was observed, suggesting that loop 1 is a key determinant for channel gating.

SCIENCE ADVANCES (2023)

Article Chemistry, Multidisciplinary

AI-based identification of therapeutic agents targeting GPCRs: introducing ligand type classifiers and systems biology

Jonas Gossen, Rui Pedro Ribeiro, Dirk Bier, Bernd Neumaier, Paolo Carloni, Alejandro Giorgetti, Giulia Rossetti

Summary: This study presents an approach that combines structural data with a random forest agonist/antagonist classifier and a signal-transduction kinetic model to identify novel chemotype ligands. As a test case, the approach is applied to identify novel antagonists of the human adenosine transmembrane receptor type 2A, a target against Parkinson's disease and cancer.

CHEMICAL SCIENCE (2023)

Article Chemistry, Physical

Metadynamics simulations of ligands binding to protein surfaces: a novel tool for rational drug design

Ke Zuo, Agata Kranjc, Riccardo Capelli, Giulia Rossetti, Rachel Nechushtai, Paolo Carloni

Summary: This study introduces a new drug design approach that combines metadynamics free energy methods and experimental structural information to identify ligand poses on protein surfaces.

PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2023)

No Data Available