Literature DB >> 28376614

Benchmarking a Fast Proton Titration Scheme in Implicit Solvent for Biomolecular Simulations.

Fernando Luís Barroso da Silva1, Donal MacKernan.   

Abstract

pH is a key parameter for technological and biological processes, intimately related to biomolecular charge. As such, it controls biomolecular conformation and intermolecular interactions, for example, protein/RNA stability and folding, enzyme activity, regulation through conformational switches, protein-polyelectrolyte association, and protein-RNA interactions. pH also plays an important role in technological systems in food, brewing, pharma, bioseparations, and biomaterials in general. Predicting the structure of large proteins and complexes remains a great challenge experimentally, industrially, and theoretically, despite the variety of numerical schemes available ranging from Poisson-Boltzmann approaches to explicit solvent based methods. In this work we benchmark a fast proton titration scheme against experiment and several theoretical methods on the following set of representative proteins: [HP36, BBL, HEWL (triclinic and orthorhombic), RNase, SNASE (V66K/WT, V66K/PHS, V66K/Δ+PHS, L38D/Δ+PHS, L38E/Δ+PHS, L38K/Δ+PHS), ALAC, and OMTKY3]; routinely used in similar tests due to the diversity of their structural features. Our scheme is rooted in the classical Tanford-Kirkwood model of impenetrable spheres, where salt is treated at the Debye-Hückel level. Treating salt implicitly dramatically reduces the computation time, thereby circumventing sampling difficulties faced by other numerical schemes. In comparison with experimental measurements, our calculated pKa values have the average, maximum absolute, and root-mean-square deviations of 0.4-0.9, 1.0-5.2, and 0.5-1.2 pH units, respectively. These values are within the ranges commonly observed in theoretical models. They are also in the large majority of the cases studied here more accurate than the NULL model. For BBL, ALAC, and OMTKY3, the predicted pKa are closer to experimental results than other analyzed theoretical data. Despite the intrinsic approximations of the fast titration scheme, its robustness and ability to properly describe the main system physics is confirmed.

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Year:  2017        PMID: 28376614     DOI: 10.1021/acs.jctc.6b01114

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


  5 in total

1.  Coarse-grained dynamic RNA titration simulations.

Authors:  S Pasquali; E Frezza; F L Barroso da Silva
Journal:  Interface Focus       Date:  2019-04-19       Impact factor: 3.906

Review 2.  Development of constant-pH simulation methods in implicit solvent and applications in biomolecular systems.

Authors:  Fernando Luís Barroso daSilva; Luis Gustavo Dias
Journal:  Biophys Rev       Date:  2017-09-18

3.  Insights into the ZIKV NS1 Virology from Different Strains through a Fine Analysis of Physicochemical Properties.

Authors:  Sergio A Poveda-Cuevas; Catherine Etchebest; Fernando L Barroso da Silva
Journal:  ACS Omega       Date:  2018-11-29

4.  On the interactions of the receptor-binding domain of SARS-CoV-1 and SARS-CoV-2 spike proteins with monoclonal antibodies and the receptor ACE2.

Authors:  Carolina Corrêa Giron; Aatto Laaksonen; Fernando L Barroso da Silva
Journal:  Virus Res       Date:  2020-05-15       Impact factor: 3.303

5.  Up State of the SARS-COV-2 Spike Homotrimer Favors an Increased Virulence for New Variants.

Authors:  Carolina Corrêa Giron; Aatto Laaksonen; Fernando Luís Barroso da Silva
Journal:  Front Med Technol       Date:  2021-06-30
  5 in total

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