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Pieczywek PM, Płaziński W, Zdunek A. Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations. Sci Rep 2020; 10:14691. [PMID: 32895471 PMCID: PMC7477560 DOI: 10.1038/s41598-020-71820-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/19/2020] [Indexed: 12/23/2022] Open
Abstract
In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding in water. The extraction of coarse-grained parameters from atomistic molecular dynamics was achieved by means of the proposed molecule aggregation algorithm based on an iterative nearest neighbour search. A novel approach to a time-scale calibration scheme based on matching the average velocities of coarse-grained particles enabled the DPD forcefield to reproduce essential structural features of homogalacturonan molecular chains. The successful application of the proposed parametrization method allowed for the reproduction of the shapes of radial distribution functions, particle velocities and diffusivity of the atomistic molecular dynamics model using DPD force field. The structure of polygalacturonic acid molecules was mapped into the DPD force field by means of the distance and angular bond characteristics, which closely matched the MD results. The resulting DPD trajectories showed that randomly dispersed homogalacturonan chains had a tendency to aggregate into highly organized 3D structures. The final structure resembled a three-dimensional network created by tightly associated homogalacturonan chains organized into thick fibres.
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Affiliation(s)
- P M Pieczywek
- Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-270, Lublin, Poland.
| | - W Płaziński
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, 30-239, Cracow, Poland
| | - A Zdunek
- Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-270, Lublin, Poland
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2
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Li C, Qin Z, Han W. Bottom-up derived flexible water model with dipole and quadrupole moments for coarse-grained molecular simulations. Phys Chem Chem Phys 2020; 22:27394-27412. [DOI: 10.1039/d0cp04185h] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A bottom-up CG water model is developed to capture the electrostatic multipoles, structural correlation and thermodynamics of water.
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Affiliation(s)
- Chen Li
- State Key Laboratory of Chemical Genomics
- School of Chemical Biology and Biotechnology
- Peking University Shenzhen Graduate School
- Shenzhen
- China
| | - Zhongyuan Qin
- State Key Laboratory of Chemical Genomics
- School of Chemical Biology and Biotechnology
- Peking University Shenzhen Graduate School
- Shenzhen
- China
| | - Wei Han
- State Key Laboratory of Chemical Genomics
- School of Chemical Biology and Biotechnology
- Peking University Shenzhen Graduate School
- Shenzhen
- China
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3
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Ricci M, Roscioni OM, Querciagrossa L, Zannoni C. MOLC. A reversible coarse grained approach using anisotropic beads for the modelling of organic functional materials. Phys Chem Chem Phys 2019; 21:26195-26211. [PMID: 31755499 DOI: 10.1039/c9cp04120f] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
We describe the development and implementation of a coarse grained (CG) modelling approach where complex organic molecules, and particularly the π-conjugated ones often employed in organic electronics, are modelled in terms of connected sets of attractive-repulsive biaxial Gay-Berne ellipsoidal beads. The CG model is aimed at reproducing realistically large scale morphologies (e.g. up to 100 nm thick films) for the materials involved, while being able to generate, with a back-mapping procedure, atomistic coordinates suitable, with limited effort, to be applied for charge transport calculations. Detailed methodology and an application to the common hole transporter material α-NPD are provided.
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Affiliation(s)
- Matteo Ricci
- Dipartimento di Chimica Industriale "Toso Montanari" and INSTM, Università di Bologna, Viale Risorgimento 4, IT-40136 Bologna, Italy.
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4
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Zavadlav J, Marrink SJ, Praprotnik M. SWINGER: a clustering algorithm for concurrent coupling of atomistic and supramolecular liquids. Interface Focus 2019; 9:20180075. [PMID: 31065343 PMCID: PMC6501350 DOI: 10.1098/rsfs.2018.0075] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2019] [Indexed: 12/11/2022] Open
Abstract
In this contribution, we review recent developments and applications of a dynamic clustering algorithm SWINGER tailored for the multiscale molecular simulations of biomolecular systems. The algorithm on-the-fly redistributes solvent molecules among supramolecular clusters. In particular, we focus on its applications in combination with the adaptive resolution scheme, which concurrently couples atomistic and coarse-grained molecular representations. We showcase the versatility of our multiscale approach on a few applications to biomolecular systems coupling atomistic and supramolecular water models such as the well-established MARTINI and dissipative particle dynamics models and provide an outlook for future work.
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Affiliation(s)
- Julija Zavadlav
- Computational Science and Engineering Laboratory, ETH-Zurich, Clausiusstrasse 33, 8092 Zurich, Switzerland
| | - Siewert J. Marrink
- Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 7, 9747, AG Groningen, The Netherlands
| | - Matej Praprotnik
- Laboratory for Molecular Modeling, National Institute of Chemistry, Hajdrihova 19, 1001 Ljubljana, Slovenia
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5
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Lafond PG, Izvekov S. Multiscale Coarse-Graining with Effective Polarizabilities: A Fully Bottom-Up Approach. J Chem Theory Comput 2018; 14:1873-1886. [DOI: 10.1021/acs.jctc.7b00917] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Patrick G. Lafond
- Weapons and Materials Research Directorate, U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005, United States
| | - Sergei Izvekov
- Weapons and Materials Research Directorate, U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005, United States
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6
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Bejagam KK, Singh S, An Y, Berry C, Deshmukh SA. PSO-Assisted Development of New Transferable Coarse-Grained Water Models. J Phys Chem B 2018; 122:1958-1971. [DOI: 10.1021/acs.jpcb.7b10542] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Karteek K. Bejagam
- Department
of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Samrendra Singh
- CNH Industrial, Burr Ridge, Chicago, Illinois 60527, United States
| | - Yaxin An
- Department
of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Carter Berry
- Department
of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Sanket A. Deshmukh
- Department
of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
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7
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Onufriev AV, Izadi S. Water models for biomolecular simulations. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE 2017. [DOI: 10.1002/wcms.1347] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Alexey V. Onufriev
- Department of Physics; Virginia Tech; Blacksburg VA USA
- Department of Computer Science; Virginia Tech; Blacksburg VA USA
- Center for Soft Matter and Biological Physics; Virginia Tech; Blacksburg VA USA
| | - Saeed Izadi
- Early Stage Pharmaceutical Development; Genentech Inc.; South San Francisco, CA USA
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8
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Musiani F, Giorgetti A. Protein Aggregation and Molecular Crowding: Perspectives From Multiscale Simulations. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2016; 329:49-77. [PMID: 28109331 DOI: 10.1016/bs.ircmb.2016.08.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Cells are extremely crowded environments, thus the use of diluted salted aqueous solutions containing a single protein is too simplistic to mimic the real situation. Macromolecular crowding might affect protein structure, folding, shape, conformational stability, binding of small molecules, enzymatic activity, interactions with cognate biomolecules, and pathological aggregation. The latter phenomenon typically leads to the formation of amyloid fibrils that are linked to several lethal neurodegenerative diseases, but that can also play a functional role in certain organisms. The majority of molecular simulations performed before the last few years were conducted in diluted solutions and were restricted both in the timescales and in the system dimensions by the available computational resources. In recent years, several computational solutions were developed to get close to physiological conditions. In this review we summarize the main computational techniques used to tackle the issue of protein aggregation both in a diluted and in a crowded environment.
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Affiliation(s)
- F Musiani
- Laboratory of Bioinorganic Chemistry, University of Bologna, Bologna, Italy.
| | - A Giorgetti
- Applied Bioinformatics Group, University of Verona, Verona, Italy.
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9
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Zavadlav J, Marrink SJ, Praprotnik M. Adaptive Resolution Simulation of Supramolecular Water: The Concurrent Making, Breaking, and Remaking of Water Bundles. J Chem Theory Comput 2016; 12:4138-45. [PMID: 27409519 PMCID: PMC5008762 DOI: 10.1021/acs.jctc.6b00536] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
![]()
The
adaptive resolution scheme (AdResS) is a multiscale molecular
dynamics simulation approach that can concurrently couple atomistic
(AT) and coarse-grained (CG) resolution regions, i.e., the molecules
can freely adapt their resolution according to their current position
in the system. Coupling to supramolecular CG models, where several
molecules are represented as a single CG bead, is challenging, but
it provides higher computational gains and connection to the established
MARTINI CG force field. Difficulties that arise from such coupling
have been so far bypassed with bundled AT water models, where additional
harmonic bonds between oxygen atoms within a given supramolecular
water bundle are introduced. While these models simplify the supramolecular
coupling, they also cause in certain situations spurious artifacts,
such as partial unfolding of biomolecules. In this work, we present
a new clustering algorithm SWINGER that can concurrently make, break,
and remake water bundles and in conjunction with the AdResS permits
the use of original AT water models. We apply our approach to simulate
a hybrid SPC/MARTINI water system and show that the essential properties
of water are correctly reproduced with respect to the standard monoscale
simulations. The developed hybrid water model can be used in biomolecular
simulations, where a significant speed up can be obtained without
compromising the accuracy of the AT water model.
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Affiliation(s)
- Julija Zavadlav
- Department of Molecular Modeling, National Institute of Chemistry , Hajdrihova 19, SI-1001 Ljubljana, Slovenia.,Department of Physics, Faculty of Mathematics and Physics, University of Ljubljana , Jadranska 19, SI-1000 Ljubljana, Slovenia
| | - Siewert J Marrink
- Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen , Nijenborgh 7, 9747 AG Groningen, Netherlands
| | - Matej Praprotnik
- Department of Molecular Modeling, National Institute of Chemistry , Hajdrihova 19, SI-1001 Ljubljana, Slovenia.,Department of Physics, Faculty of Mathematics and Physics, University of Ljubljana , Jadranska 19, SI-1000 Ljubljana, Slovenia
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10
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Moore TC, Iacovella CR, McCabe C. Development of a coarse-grained water forcefield via multistate iterative Boltzmann inversion. FOUNDATIONS OF MOLECULAR MODELING AND SIMULATION : SELECT PAPERS FROM FOMMS 2015. INTERNATIONAL CONFERENCE ON FOUNDATIONS OF MOLECULAR MODELING AND SIMULATION (6TH : 2015 : MOUNT HOOD, OR.) 2016; 2016:37-52. [PMID: 32483559 PMCID: PMC7262820 DOI: 10.1007/978-981-10-1128-3_3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
A coarse-grained water model is developed using multistate iterative Boltzmann inversion. Following previous work, the k-means algorithm is used to dynamically map multiple water molecules to a single coarse-grained bead, allowing the use of structure-based coarse-graining methods. The model is derived to match the bulk and interfacial properties of liquid water and improves upon previous work that used single state iterative Boltzmann inversion. The model accurately reproduces the density and structural correlations of water at 305 K and 1.0 atm, stability of a liquid droplet at 305 K, and shows little tendency to crystallize at physiological conditions. This work also illustrates several advantages of using multistate iterative Boltzmann inversion for deriving generally applicable coarse-grained forcefields.
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Affiliation(s)
- Timothy C. Moore
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37235
- Vanderbilt University Center for Multiscale Modeling and Simulation (MuMS), Nashville, TN 37235
| | - Christopher R. Iacovella
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37235
- Vanderbilt University Center for Multiscale Modeling and Simulation (MuMS), Nashville, TN 37235
| | - Clare McCabe
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37235
- Vanderbilt University Center for Multiscale Modeling and Simulation (MuMS), Nashville, TN 37235
- Department of Chemistry, Vanderbilt University, Nashville, TN 37235
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11
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Torres-Carbajal A, Castañeda-Priego R. Characterisation of the thermodynamics, structure and dynamics of a water-like model in 2- and 3-dimensions. Phys Chem Chem Phys 2016; 18:17335-40. [PMID: 27232761 DOI: 10.1039/c6cp01565d] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The physical properties of colloidal particles suspended in an aqueous environment are well-understood when the latter is considered to be a continuum and a structureless medium. However, this approach fails to explain complex phenomena, for example, the critical Casimir forces among colloids and the colloidal self-assembly near critical solvents, and the inertial contribution of the solvent molecules on the diffusion of non-spherical Brownian particles. Therefore, the role played by the solvent on the physical properties of colloidal dispersions is of paramount relevance. Recently, there has been an interest in the (non-trivial) diffusion mechanisms of a nano-colloidal particle in a solvent that undergoes a vapour-liquid transition. Nonetheless, the models typically used to incorporate the solvent details do not capture quantitatively the thermodynamic properties of real substances. It is then important to study the Brownian motion of colloids in more realistic models. To reach such goal, one first has to characterise the thermodynamic states and the microscopic features of the solvent. Hence, in this contribution, we have investigated the coexistence densities of a core-softened potential in two- and three-dimensions, whose potential parameters are able to capture some anomalies of water. We show that in the two-dimensional case, the potential model exhibits, besides the normal vapour-liquid coexistence region, additional liquid-liquid coexistence densities. We particularly focus our attention to the structural properties and the dynamical behaviour of the solvent around the liquid-liquid critical point and assess the differences with the three-dimensional case.
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Affiliation(s)
- Alexis Torres-Carbajal
- División de Ciencias e Ingenierías, Campus León, Universidad de Guanajuato, Loma del Bosque 103, Lomas del Campestre, 37150 León, Guanajuato, México.
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12
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Smeijers A, Markvoort A, Pieterse K, Hilbers P. Coarse-grained modelling of urea-adamantyl functionalised poly(propylene imine) dendrimers. MOLECULAR SIMULATION 2015. [DOI: 10.1080/08927022.2015.1096359] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- A.F. Smeijers
- Computational Biology, Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
| | - A.J. Markvoort
- Computational Biology, Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
- Institute for Complex Molecular Systems, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
| | - K. Pieterse
- Computational Biology, Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
- Institute for Complex Molecular Systems, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
| | - P.A.J. Hilbers
- Computational Biology, Department of Biomedical Engineering, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
- Institute for Complex Molecular Systems, Technische Universiteit Eindhoven, Eindhoven, the Netherlands
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13
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Lobanova O, Avendaño C, Lafitte T, Müller EA, Jackson G. SAFT-γ force field for the simulation of molecular fluids: 4. A single-site coarse-grained model of water applicable over a wide temperature range. Mol Phys 2015. [DOI: 10.1080/00268976.2015.1004804] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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14
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Ingólfsson HI, Lopez CA, Uusitalo JJ, de Jong DH, Gopal SM, Periole X, Marrink SJ. The power of coarse graining in biomolecular simulations. WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL MOLECULAR SCIENCE 2014; 4:225-248. [PMID: 25309628 PMCID: PMC4171755 DOI: 10.1002/wcms.1169] [Citation(s) in RCA: 325] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Computational modeling of biological systems is challenging because of the multitude of spatial and temporal scales involved. Replacing atomistic detail with lower resolution, coarse grained (CG), beads has opened the way to simulate large-scale biomolecular processes on time scales inaccessible to all-atom models. We provide an overview of some of the more popular CG models used in biomolecular applications to date, focusing on models that retain chemical specificity. A few state-of-the-art examples of protein folding, membrane protein gating and self-assembly, DNA hybridization, and modeling of carbohydrate fibers are used to illustrate the power and diversity of current CG modeling.
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Affiliation(s)
- Helgi I Ingólfsson
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Cesar A Lopez
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Jaakko J Uusitalo
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Djurre H de Jong
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Srinivasa M Gopal
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Xavier Periole
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
| | - Siewert J Marrink
- Groningen Biomolecular Sciences and Biotechnology Institute & Zernike Institute for Advanced Materials, University of GroningenGroningen, The Netherlands
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Abstract
By focusing on essential features, while averaging over less important details, coarse-grained (CG) models provide significant computational and conceptual advantages with respect to more detailed models. Consequently, despite dramatic advances in computational methodologies and resources, CG models enjoy surging popularity and are becoming increasingly equal partners to atomically detailed models. This perspective surveys the rapidly developing landscape of CG models for biomolecular systems. In particular, this review seeks to provide a balanced, coherent, and unified presentation of several distinct approaches for developing CG models, including top-down, network-based, native-centric, knowledge-based, and bottom-up modeling strategies. The review summarizes their basic philosophies, theoretical foundations, typical applications, and recent developments. Additionally, the review identifies fundamental inter-relationships among the diverse approaches and discusses outstanding challenges in the field. When carefully applied and assessed, current CG models provide highly efficient means for investigating the biological consequences of basic physicochemical principles. Moreover, rigorous bottom-up approaches hold great promise for further improving the accuracy and scope of CG models for biomolecular systems.
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Affiliation(s)
- W G Noid
- Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
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16
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Zipoli F, Laino T, Stolz S, Martin E, Winkelmann C, Curioni A. Improved coarse-grained model for molecular-dynamics simulations of water nucleation. J Chem Phys 2013; 139:094501. [DOI: 10.1063/1.4819136] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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18
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Abstract
Coarse-grained (CG) models have proven to be very effective tools in the study of phenomena or systems that involve large time- and length-scales. By decreasing the degrees of freedom in the system and using softer interactions than seen in atomistic models, larger timesteps can be used and much longer simulation times can be studied. CG simulations are widely used to study systems of biological importance that are beyond the reach of atomistic simulation, necessitating a computationally efficient and accurate CG model for water. In this review, we discuss the methods used for developing CG water models and the relative advantages and disadvantages of the resulting models. In general, CG water models differ with regards to how many waters each CG group or bead represents, whether analytical or tabular potentials have been used to describe the interactions, and how the model incorporates electrostatic interactions. Finally, how the models are parameterized depends on their application, so, while some are fitted to experimental properties such as surface tension and density, others are fitted to radial distribution functions extracted from atomistic simulations.
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Affiliation(s)
| | - Clare McCabe
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville TN 37235-1604
- Department of Chemistry, Vanderbilt University, Nashville TN 37235-1604
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