Literature DB >> 33442985

CHARMM-GUI Supports Hydrogen Mass Repartitioning and Different Protonation States of Phosphates in Lipopolysaccharides.

Ya Gao1, Jumin Lee2, Iain Peter Shand Smith3, Hwayoung Lee2, Seonghoon Kim2,4, Yifei Qi5, Jeffery B Klauda6, Göran Widmalm7, Syma Khalid3, Wonpil Im2.   

Abstract

Hydrogen mass repartitioning (HMR) that permits time steps of all-atom molecular dynamics simulation up to 4 fs by increasing the mass of hydrogen atoms has been used in protein and phospholipid bilayers simulations to improve conformational sampling. Molecular simulation input generation via CHARMM-GUI now supports HMR for diverse simulation programs. In addition, considering ambiguous pH at the bacterial outer membrane surface, different protonation states, either -2e or -1e, of phosphate groups in lipopolysaccharides (LPS) are also supported in CHARMM-GUI LPS Modeler. To examine the robustness of HMR and the influence of protonation states of phosphate groups on LPS bilayer properties, eight different LPS-type all-atom systems with two phosphate protonation states are modeled and simulated utilizing both OpenMM 2-fs (standard) and 4-fs (HMR) schemes. Consistency in the conformational space sampled by standard and HMR simulations shows the reliability of HMR even in LPS, one of the most complex biomolecules. For systems with different protonation states, similar conformations are sampled with a PO41- or PO42- group, but different phosphate protonation states make slight impacts on lipid packing and conformational properties of LPS acyl chains. Systems with PO41- have a slightly smaller area per lipid and thus slightly more ordered lipid A acyl chains compared to those with PO42-, due to more electrostatic repulsion between PO42- even with neutralizing Ca2+ ions. HMR and different protonation states of phosphates of LPS available in CHARMM-GUI are expected to be useful for further investigations of biological systems of diverse origin.

Entities:  

Year:  2021        PMID: 33442985      PMCID: PMC7902386          DOI: 10.1021/acs.jcim.0c01360

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  33 in total

1.  CHARMM-GUI: a web-based graphical user interface for CHARMM.

Authors:  Sunhwan Jo; Taehoon Kim; Vidyashankara G Iyer; Wonpil Im
Journal:  J Comput Chem       Date:  2008-08       Impact factor: 3.376

Review 2.  Modeling and simulation of bacterial outer membranes and interactions with membrane proteins.

Authors:  Dhilon S Patel; Yifei Qi; Wonpil Im
Journal:  Curr Opin Struct Biol       Date:  2017-01-31       Impact factor: 6.809

3.  Molecular Simulations of Gram-Negative Bacterial Membranes Come of Age.

Authors:  Wonpil Im; Syma Khalid
Journal:  Annu Rev Phys Chem       Date:  2020-02-18       Impact factor: 12.703

4.  CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans.

Authors:  Jumin Lee; Dhilon S Patel; Jonas Ståhle; Sang-Jun Park; Nathan R Kern; Seonghoon Kim; Joonseong Lee; Xi Cheng; Miguel A Valvano; Otto Holst; Yuriy A Knirel; Yifei Qi; Sunhwan Jo; Jeffery B Klauda; Göran Widmalm; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2018-12-28       Impact factor: 6.006

5.  CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses.

Authors:  Olgun Guvench; Elizabeth R Hatcher; Richard M Venable; Richard W Pastor; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2009-08-20       Impact factor: 6.006

6.  Collective and noncollective models of NMR relaxation in lipid vesicles and multilayers.

Authors:  Jeffery B Klauda; Nadukkudy V Eldho; Klaus Gawrisch; Bernard R Brooks; Richard W Pastor
Journal:  J Phys Chem B       Date:  2008-01-08       Impact factor: 2.991

7.  CHARMM-GUI Membrane Builder for mixed bilayers and its application to yeast membranes.

Authors:  Sunhwan Jo; Joseph B Lim; Jeffery B Klauda; Wonpil Im
Journal:  Biophys J       Date:  2009-07-08       Impact factor: 4.033

8.  Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank.

Authors:  Sang-Jun Park; Jumin Lee; Dhilon S Patel; Hongjing Ma; Hui Sun Lee; Sunhwan Jo; Wonpil Im
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

9.  GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations.

Authors:  Jaewoon Jung; Takaharu Mori; Chigusa Kobayashi; Yasuhiro Matsunaga; Takao Yoda; Michael Feig; Yuji Sugita
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-05-07

10.  OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

Authors:  Peter Eastman; Jason Swails; John D Chodera; Robert T McGibbon; Yutong Zhao; Kyle A Beauchamp; Lee-Ping Wang; Andrew C Simmonett; Matthew P Harrigan; Chaya D Stern; Rafal P Wiewiora; Bernard R Brooks; Vijay S Pande
Journal:  PLoS Comput Biol       Date:  2017-07-26       Impact factor: 4.475

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  5 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

2.  Methotrexate recognition by the human reduced folate carrier SLC19A1.

Authors:  Nicholas J Wright; Justin G Fedor; Han Zhang; Pyeonghwa Jeong; Yang Suo; Jiho Yoo; Jiyong Hong; Wonpil Im; Seok-Yong Lee
Journal:  Nature       Date:  2022-09-07       Impact factor: 69.504

3.  Differential Interactions between Human ACE2 and Spike RBD of SARS-CoV-2 Variants of Concern.

Authors:  Seonghan Kim; Yi Liu; Zewei Lei; Jeffrey Dicker; Yiwei Cao; X Frank Zhang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2021-12-03       Impact factor: 6.006

4.  Insights into the structural peculiarities of the N-terminal and receptor binding domains of the spike protein from the SARS-CoV-2 Omicron variant.

Authors:  Fatemeh Bayani; Negin Safaei Hashkavaei; Vladimir N Uversky; Sina Mozaffari-Jovin; Yahya Sefidbakht
Journal:  Comput Biol Med       Date:  2022-06-22       Impact factor: 6.698

5.  Binding of Human ACE2 and RBD of Omicron Enhanced by Unique Interaction Patterns Among SARS-CoV-2 Variants of Concern.

Authors:  Seonghan Kim; Yi Liu; Matthew Ziarnik; Yiwei Cao; X Frank Zhang; Wonpil Im
Journal:  bioRxiv       Date:  2022-01-25
  5 in total

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