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Kalayan J, Ramzan I, Williams CD, Bryce RA, Burton NA. A neural network potential based on pairwise resolved atomic forces and energies. J Comput Chem 2024; 45:1143-1151. [PMID: 38284556 DOI: 10.1002/jcc.27313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/23/2023] [Accepted: 01/05/2024] [Indexed: 01/30/2024]
Abstract
Molecular simulations have become a key tool in molecular and materials design. Machine learning (ML)-based potential energy functions offer the prospect of simulating complex molecular systems efficiently at quantum chemical accuracy. In previous work, we have introduced the ML-based PairF-Net approach to neural network potentials, that adopts a pairwise interatomic scheme to predicting forces within a molecular system. Here, we further develop the PairF-Net model to intrinsically incorporate energy conservation and couple the model to a molecular mechanical (MM) environment within the OpenMM package. The updated PairF-Net model yields energy and force predictions and dynamical distributions in good agreement with the rMD17 dataset of ten small organic molecules in the gas-phase. We further show that these in vacuo ML models of small molecules can be applied to force predictions in aqueous solution via hybrid ML/MM simulations. We present a new benchmark dataset for these ten molecules in solution, obtained from QM/MM simulations, which we denote as rMD17-aq (https://zenodo.org/records/10048644); and assess the ability of PairF-Net to reproduce the molecular energy, atomic forces and dynamical distributions of these solution conformations via ML/MM simulations.
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Affiliation(s)
- Jas Kalayan
- Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester, UK
| | - Ismaeel Ramzan
- Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester, UK
- Neural Circuits and Computations Unit, RIKEN Center for Brain Science, Wako, Japan
| | - Christopher D Williams
- Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester, UK
| | - Richard A Bryce
- Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester, Manchester, UK
| | - Neil A Burton
- Department of Chemistry, University of Manchester, Manchester, UK
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Kontodimas V, Yaman M, Greis K, Lettow M, Pagel K, Marianski M. Reinvestigation of the internal glycan rearrangement of Lewis a and blood group type H1 epitopes. Phys Chem Chem Phys 2024; 26:14160-14170. [PMID: 38712976 PMCID: PMC11147448 DOI: 10.1039/d3cp04491b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Protonated ions of fucose-containing oligosaccharides are prone to undergo internal glycan rearrangement which results in chimeric fragments that obfuscate mass-spectrometric analysis. Lack of accessible tools that would facilitate systematic analysis of glycans in the gas phase limits our understanding of this phenomenon. In this work, we use density functional theory modeling to interpret cryogenic IR spectra of Lewis a and blood group type H1 trisaccharides and to establish whether these trisaccharides undergo the rearrangement during gas-phase analysis. Structurally unconstrained search reveals that none of the parent ions constitute a thermodynamic global minimum. In contrast, predicted collision cross sections and anharmonic IR spectra provide a good match to available experimental data which allowed us to conclude that fucose migration does not occur in these antigens. By comparing the predicted structures with those obtained for Lewis x and blood group type H2 epitopes, we demonstrate that the availability of the mobile proton and a large difference in the relative stability of the parent ions and rearrangement products constitute the prerequisites for the rearrangement reaction.
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Affiliation(s)
- Vasilis Kontodimas
- Department of Chemistry, Hunter College, The City University of New York, New York, NY 10065, USA.
| | - Murat Yaman
- Department of Chemistry, Hunter College, The City University of New York, New York, NY 10065, USA.
- Ph.D. Programs in Chemistry and Biochemistry, The Graduate Center, The City University of New York, New York, NY 10016, USA
| | - Kim Greis
- Fritz-Haber-Intitut der Max Planck Gesellschaft, 14195 Berlin, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195 Berlin, Germany
- Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland
| | - Maike Lettow
- Fritz-Haber-Intitut der Max Planck Gesellschaft, 14195 Berlin, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195 Berlin, Germany
| | - Kevin Pagel
- Fritz-Haber-Intitut der Max Planck Gesellschaft, 14195 Berlin, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, 14195 Berlin, Germany
| | - Mateusz Marianski
- Department of Chemistry, Hunter College, The City University of New York, New York, NY 10065, USA.
- Ph.D. Programs in Chemistry and Biochemistry, The Graduate Center, The City University of New York, New York, NY 10016, USA
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Masella M, Léonforté F. Chitosan Polysaccharides from a Polarizable Multiscale Approach. ACS OMEGA 2023; 8:35592-35607. [PMID: 37810703 PMCID: PMC10551911 DOI: 10.1021/acsomega.3c01584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/30/2023] [Indexed: 10/10/2023]
Abstract
We report simulations of chitosan polysaccharides in the aqueous phase, at infinite dilute conditions and zero ionic strength. Those simulations are performed by means of a polarizable multiscale modeling scheme that relies on a polarizable all atom force field to model solutes and on a polarizable solvent coarse grained approach. Force field parameters are assigned only from quantum chemistry ab initio data. We simulate chitosan monomer units, dimers and 50-long chains. Regarding the 50-long chains we simulate three sets of ten randomly built chain replica at three different pH conditions (corresponding to different chain protonation states, the chain degree of deacetylation is 85%). Our simulations show the persistence length of 50-long chitosan chains at strong acidic conditions (pH <5) to be 24 ± 2 nm (at weak/negligible ionic strength conditions), and to be 1 order of magnitude shorter at usual pH conditions. Our simulation data support the most recent simulation and experimental studies devoted to chitosan polysaccharides in the aqueous phase.
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Affiliation(s)
- Michel Masella
- Laboratoire
de Biologie Bioénergétique, Métalloprotéines et Stress, Service de Bioénergétique,
Biologie Structurale et Mécanismes, Institut Joliot, CEA Saclay, Gif sur Yvette Cedex F-91191, France
| | - Fabien Léonforté
- L’Oréal
Group, Research & Innovation, Aulnay-Sous-Bois 93600, France
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