Literature DB >> 34871001

CHARMM-GUI Nanomaterial Modeler for Modeling and Simulation of Nanomaterial Systems.

Yeol Kyo Choi1, Nathan R Kern2, Seonghan Kim3, Krishan Kanhaiya4, Yaser Afshar5, Sun Hee Jeon1, Sunhwan Jo6, Bernard R Brooks7, Jumin Lee1, Ellad B Tadmor5, Hendrik Heinz4, Wonpil Im8.   

Abstract

Molecular modeling and simulation are invaluable tools for nanoscience that predict mechanical, physicochemical, and thermodynamic properties of nanomaterials and provide molecular-level insight into underlying mechanisms. However, building nanomaterial-containing systems remains challenging due to the lack of reliable and integrated cyberinfrastructures. Here we present Nanomaterial Modeler in CHARMM-GUI, a web-based cyberinfrastructure that provides an automated process to generate various nanomaterial models, associated topologies, and configuration files to perform state-of-the-art molecular dynamics simulations using most simulation packages. The nanomaterial models are based on the interface force field, one of the most reliable force fields (FFs). The transferability of nanomaterial models among the simulation programs was assessed by single-point energy calculations, which yielded 0.01% relative absolute energy differences for various surface models and equilibrium nanoparticle shapes. Three widely used Lennard-Jones (LJ) cutoff methods are employed to evaluate the compatibility of nanomaterial models with respect to conventional biomolecular FFs: simple truncation at r = 12 Å (12 cutoff), force-based switching over 10 to 12 Å (10-12 fsw), and LJ particle mesh Ewald with no cutoff (LJPME). The FF parameters with these LJ cutoff methods are extensively validated by reproducing structural, interfacial, and mechanical properties. We find that the computed density and surface energies are in good agreement with reported experimental results, although the simulation results increase in the following order: 10-12 fsw <12 cutoff < LJPME. Nanomaterials in which LJ interactions are a major component show relatively higher deviations (up to 4% in density and 8% in surface energy differences) compared with the experiment. Nanomaterial Modeler's capability is also demonstrated by generating complex systems of nanomaterial-biomolecule and nanomaterial-polymer interfaces with a combination of existing CHARMM-GUI modules. We hope that Nanomaterial Modeler can be used to carry out innovative nanomaterial modeling and simulations to acquire insight into the structure, dynamics, and underlying mechanisms of complex nanomaterial-containing systems.

Entities:  

Year:  2021        PMID: 34871001      PMCID: PMC8752518          DOI: 10.1021/acs.jctc.1c00996

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  48 in total

1.  The three-dimensional structure of the tenth type III module of fibronectin: an insight into RGD-mediated interactions.

Authors:  A L Main; T S Harvey; M Baron; J Boyd; I D Campbell
Journal:  Cell       Date:  1992-11-13       Impact factor: 41.582

2.  Scalable molecular dynamics with NAMD.

Authors:  James C Phillips; Rosemary Braun; Wei Wang; James Gumbart; Emad Tajkhorshid; Elizabeth Villa; Christophe Chipot; Robert D Skeel; Laxmikant Kalé; Klaus Schulten
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

3.  Definition and testing of the GROMOS force-field versions 54A7 and 54B7.

Authors:  Nathan Schmid; Andreas P Eichenberger; Alexandra Choutko; Sereina Riniker; Moritz Winger; Alan E Mark; Wilfred F van Gunsteren
Journal:  Eur Biophys J       Date:  2011-04-30       Impact factor: 1.733

4.  Carbon Nanotube Dispersion in Solvents and Polymer Solutions: Mechanisms, Assembly, and Preferences.

Authors:  Chandrani Pramanik; Jacob R Gissinger; Satish Kumar; Hendrik Heinz
Journal:  ACS Nano       Date:  2017-11-29       Impact factor: 15.881

5.  Matrix macromolecules in hard tissues control the nucleation and hierarchical assembly of hydroxyapatite.

Authors:  Sivakumar Gajjeraman; Karthikeyan Narayanan; Jianjun Hao; Chunlin Qin; Anne George
Journal:  J Biol Chem       Date:  2006-10-19       Impact factor: 5.157

6.  Tinker 8: Software Tools for Molecular Design.

Authors:  Joshua A Rackers; Zhi Wang; Chao Lu; Marie L Laury; Louis Lagardère; Michael J Schnieders; Jean-Philip Piquemal; Pengyu Ren; Jay W Ponder
Journal:  J Chem Theory Comput       Date:  2018-09-19       Impact factor: 6.006

7.  Formation of solid-supported lipid bilayers: an integrated view.

Authors:  Ralf P Richter; Rémi Bérat; Alain R Brisson
Journal:  Langmuir       Date:  2006-04-11       Impact factor: 3.882

8.  Simple application of fibronectin-mimetic coating enhances osseointegration of titanium implants.

Authors:  Timothy A Petrie; Catherine D Reyes; Kellie L Burns; Andrés J García
Journal:  J Cell Mol Med       Date:  2008-08-21       Impact factor: 5.310

9.  Interpretable molecular models for molybdenum disulfide and insight into selective peptide recognition.

Authors:  Juan Liu; Jin Zeng; Cheng Zhu; Jianwei Miao; Yu Huang; Hendrik Heinz
Journal:  Chem Sci       Date:  2020-07-21       Impact factor: 9.825

10.  CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field.

Authors:  Jumin Lee; Xi Cheng; Jason M Swails; Min Sun Yeom; Peter K Eastman; Justin A Lemkul; Shuai Wei; Joshua Buckner; Jong Cheol Jeong; Yifei Qi; Sunhwan Jo; Vijay S Pande; David A Case; Charles L Brooks; Alexander D MacKerell; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-12-03       Impact factor: 6.006

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  1 in total

1.  CHARMM-GUI Implicit Solvent Modeler for Various Generalized Born Models in Different Simulation Programs.

Authors:  Kye Won Wang; Jumin Lee; Han Zhang; Donghyuk Suh; Wonpil Im
Journal:  J Phys Chem B       Date:  2022-09-18       Impact factor: 3.466

  1 in total

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