Literature DB >> 30810317

The SIRAH 2.0 Force Field: Altius, Fortius, Citius.

Matías R Machado1, Exequiel E Barrera1, Florencia Klein1, Martín Sóñora1, Steffano Silva1, Sergio Pantano1.   

Abstract

A new version of the coarse-grained (CG) SIRAH force field for proteins has been developed. Modifications to bonded and non-bonded interactions on the existing molecular topologies significantly ameliorate the structural description and flexibility of a non-redundant set of proteins. The SIRAH 2.0 force field has also been ported to the popular simulation package AMBER, which along with the former implementation in GROMACS expands significantly the potential range of users and performance of this CG force field on CPU/GPU codes. As a non-trivial example of its application, we undertook the structural and dynamical analysis of the most abundant and conserved calcium-binding protein, calmodulin (CaM). CaM is composed of two calcium-binding motifs called EF-hands, which in the presence of calcium specifically recognize a cognate peptide by embracing it. CG simulations of CaM bound to four calcium ions in the presence or absence of a binding peptide (holo and apo forms, respectively) resulted in good and stable ion coordination. The simulation of the holo form starting from an experimental structure sampled near-native conformations, retrieving quasi-atomistic precision. Removing the binding peptide enabled the EF-hands to perform large reciprocal movements, comparable to those observed in NMR structures. On the other hand, the isolated peptide starting from the helical conformation experienced spontaneous unfolding, in agreement with previous experimental data. However, repositioning the peptide in the neighborhood of one EF-hand not only prevented the peptide from unfolding but also drove CaM to a fully bound conformation, with both EF-hands embracing the cognate peptide, resembling the experimental holo structure. Therefore, SIRAH 2.0 shows the capacity to handle a number of structurally and dynamically challenging situations, including metal ion coordination, unbiased conformational sampling, and specific protein-peptide recognition.

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Year:  2019        PMID: 30810317     DOI: 10.1021/acs.jctc.9b00006

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


  23 in total

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2.  Computational Models for the Study of Protein Aggregation.

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Journal:  Methods Mol Biol       Date:  2022

Review 3.  Unifying coarse-grained force fields for folded and disordered proteins.

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Review 4.  Bottom-up Coarse-Graining: Principles and Perspectives.

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Journal:  J Chem Theory Comput       Date:  2022-09-07       Impact factor: 6.578

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Journal:  Biotechnol Biofuels Bioprod       Date:  2022-06-20

Review 6.  Molecular dynamics simulations in photosynthesis.

Authors:  Nicoletta Liguori; Roberta Croce; Siewert J Marrink; Sebastian Thallmair
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7.  The Next Frontier for Designing Switchable Proteins: Rational Enhancement of Kinetics.

Authors:  Anthony T Bogetti; Maria F Presti; Stewart N Loh; Lillian T Chong
Journal:  J Phys Chem B       Date:  2021-07-29       Impact factor: 2.991

8.  Backmapping triangulated surfaces to coarse-grained membrane models.

Authors:  Weria Pezeshkian; Melanie König; Tsjerk A Wassenaar; Siewert J Marrink
Journal:  Nat Commun       Date:  2020-05-08       Impact factor: 14.919

9.  Commentary: p31-43 Gliadin Peptide Forms Oligomers and Induces NLRP3 Inflammasome/Caspase 1- Dependent Mucosal Damage in Small Intestine.

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Journal:  Front Immunol       Date:  2019-11-29       Impact factor: 7.561

Review 10.  Peptide and peptide-based inhibitors of SARS-CoV-2 entry.

Authors:  Desiree Schütz; Yasser B Ruiz-Blanco; Jan Münch; Frank Kirchhoff; Elsa Sanchez-Garcia; Janis A Müller
Journal:  Adv Drug Deliv Rev       Date:  2020-11-13       Impact factor: 15.470

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