Literature DB >> 24293222

Development and use of an atomistic CHARMM-based forcefield for peptoid simulation.

Dina T Mirijanian1, Ranjan V Mannige, Ronald N Zuckermann, Stephen Whitelam.   

Abstract

Peptoids are positional isomers of peptides: peptoid sidechains are attached to backbone nitrogens rather than α-carbons. Peptoids constitute a class of sequence-specific polymers resistant to biological degradation and potentially as diverse, structurally and functionally, as proteins. While molecular simulation of proteins is commonplace, relatively few tools are available for peptoid simulation. Here, we present a first-generation atomistic forcefield for peptoids. Our forcefield is based on the peptide forcefield CHARMM22, with key parameters tuned to match both experimental data and quantum mechanical calculations for two model peptoids (dimethylacetamide and a sarcosine dipeptoid). We used this forcefield to demonstrate that solvation of a dipeptoid substantially modifies the conformations it can access. We also simulated a crystal structure of a peptoid homotrimer, H-(N-2-phenylethyl glycine)3 -OH, and we show that experimentally observed structural and dynamical features of the crystal are accurately described by our forcefield. The forcefield presented here provides a starting point for future development of peptoid-specific simulation methods within CHARMM.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  CHARMM; forcefield; parameterization; peptoid; simulation

Mesh:

Substances:

Year:  2013        PMID: 24293222     DOI: 10.1002/jcc.23478

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  10 in total

Review 1.  Peptoid drug discovery and optimization via surface X-ray scattering.

Authors:  Konstantin Andreev; Michael W Martynowycz; David Gidalevitz
Journal:  Biopolymers       Date:  2019-03-20       Impact factor: 2.505

2.  A twist in the road less traveled: The AMBER ff15ipq-m force field for protein mimetics.

Authors:  Anthony T Bogetti; Hannah E Piston; Jeremy M G Leung; Chino C Cabalteja; Darian T Yang; Alex J DeGrave; Karl T Debiec; David S Cerutti; David A Case; W Seth Horne; Lillian T Chong
Journal:  J Chem Phys       Date:  2020-08-14       Impact factor: 3.488

3.  Conformations of peptoids in nanosheets result from the interplay of backbone energetics and intermolecular interactions.

Authors:  John R Edison; Ryan K Spencer; Glenn L Butterfoss; Benjamin C Hudson; Allon I Hochbaum; Anant K Paravastu; Ronald N Zuckermann; Stephen Whitelam
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

Review 4.  Analysis of folded structure and folding thermodynamics in heterogeneous-backbone proteomimetics.

Authors:  Jacqueline R Santhouse; Shilpa R Rao; W Seth Horne
Journal:  Methods Enzymol       Date:  2021-05-03       Impact factor: 1.600

5.  An exhaustive survey of regular peptide conformations using a new metric for backbone handedness (h).

Authors:  Ranjan V Mannige
Journal:  PeerJ       Date:  2017-05-16       Impact factor: 2.984

6.  Poly-sarcosine and Poly(Ethylene-Glycol) Interactions with Proteins Investigated Using Molecular Dynamics Simulations.

Authors:  Giovanni Settanni; Timo Schäfer; Christian Muhl; Matthias Barz; Friederike Schmid
Journal:  Comput Struct Biotechnol J       Date:  2018-11-08       Impact factor: 7.271

7.  Toward amino acid typing for proteins in FFLUX.

Authors:  Timothy L Fletcher; Paul L A Popelier
Journal:  J Comput Chem       Date:  2016-12-19       Impact factor: 3.376

8.  Atomic-level engineering and imaging of polypeptoid crystal lattices.

Authors:  Sunting Xuan; Xi Jiang; Ryan K Spencer; Nan K Li; David Prendergast; Nitash P Balsara; Ronald N Zuckermann
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-21       Impact factor: 11.205

9.  Unraveling the Role of Charge Patterning in the Micellar Structure of Sequence-Defined Amphiphilic Peptoid Oligomers by Molecular Dynamics Simulations.

Authors:  Erin Tsai; Hishara Keshani Gallage Dona; Xinjie Tong; Pu Du; Brian Novak; Rolf David; Steven W Rick; Donghui Zhang; Revati Kumar
Journal:  Macromolecules       Date:  2022-06-14       Impact factor: 6.057

Review 10.  The Best Peptidomimetic Strategies to Undercover Antibacterial Peptides.

Authors:  Joanna Izabela Lachowicz; Kacper Szczepski; Alessandra Scano; Cinzia Casu; Sara Fais; Germano Orrù; Barbara Pisano; Monica Piras; Mariusz Jaremko
Journal:  Int J Mol Sci       Date:  2020-10-05       Impact factor: 5.923

  10 in total

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