Literature DB >> 30134731

Folding free energy landscapes of β-sheets with non-polarizable and polarizable CHARMM force fields.

Anthony J Hazel1, Evan T Walters2, Christopher N Rowley2, James C Gumbart1.   

Abstract

Molecular dynamics (MD) simulations of peptides and proteins offer atomic-level detail into many biological processes, although the degree of insight depends on the accuracy of the force fields used to represent them. Protein folding is a key example in which the accurate reproduction of folded-state conformations of proteins and kinetics of the folding processes in simulation is a longstanding goal. Although there have been a number of recent successes, challenges remain in capturing the full complexity of folding for even secondary-structure elements. In the present work, we have used all-atom MD simulations to study the folding properties of one such element, the C-terminal β-hairpin of the B1 domain of streptococcal protein G (GB1). Using replica-exchange umbrella sampling simulations, we examined the folding free energy of two fixed-charge CHARMM force fields, CHARMM36 and CHARMM22*, as well as a polarizable force field, the CHARMM Drude-2013 model, which has previously been shown to improve the folding properties of α-helical peptides. The CHARMM22* and Drude-2013 models are in rough agreement with experimental studies of GB1 folding, while CHARMM36 overstabilizes the β-hairpin. Additional free-energy calculations show that small adjustments to the atomic polarizabilities in the Drude-2013 model can improve both the backbone solubility and folding properties of GB1 without significantly affecting the model's ability to properly fold α-helices. We also identify a non-native salt bridge in the β-turn region that overstabilizes the β-hairpin in the C36 model. Finally, we demonstrate that tryptophan fluorescence is insufficient for capturing the full β-hairpin folding pathway.

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Year:  2018        PMID: 30134731     DOI: 10.1063/1.5025951

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  7 in total

1.  A Minimal Membrane Metal Transport System: Dynamics and Energetics of mer Proteins.

Authors:  Hyea Hwang; Anthony Hazel; Peng Lian; Jeremy C Smith; James C Gumbart; Jerry M Parks
Journal:  J Comput Chem       Date:  2019-11-13       Impact factor: 3.376

2.  Deep Neural Network Model to Predict the Electrostatic Parameters in the Polarizable Classical Drude Oscillator Force Field.

Authors:  Anmol Kumar; Poonam Pandey; Payal Chatterjee; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2022-02-11       Impact factor: 6.006

3.  Harnessing Deep Learning for Optimization of Lennard-Jones Parameters for the Polarizable Classical Drude Oscillator Force Field.

Authors:  Payal Chatterjee; Mert Y Sengul; Anmol Kumar; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2022-04-01       Impact factor: 6.578

4.  Further Optimization and Validation of the Classical Drude Polarizable Protein Force Field.

Authors:  Fang-Yu Lin; Jing Huang; Poonam Pandey; Chetan Rupakheti; Jing Li; Benoı T Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2020-04-27       Impact factor: 6.006

5.  Polarization Effects in Water-Mediated Selective Cation Transport across a Narrow Transmembrane Channel.

Authors:  Van Ngo; Hui Li; Alexander D MacKerell; Toby W Allen; Benoît Roux; Sergei Noskov
Journal:  J Chem Theory Comput       Date:  2021-02-04       Impact factor: 6.006

6.  Confronting pitfalls of AI-augmented molecular dynamics using statistical physics.

Authors:  Shashank Pant; Zachary Smith; Yihang Wang; Emad Tajkhorshid; Pratyush Tiwary
Journal:  J Chem Phys       Date:  2020-12-21       Impact factor: 3.488

7.  First Principles Calculation of Protein-Protein Dimer Affinities of ALS-Associated SOD1 Mutants.

Authors:  Shawn C C Hsueh; Mark Nijland; Xubiao Peng; Benjamin Hilton; Steven S Plotkin
Journal:  Front Mol Biosci       Date:  2022-03-24
  7 in total

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