Evidence map›Paper›PMID 32790371›Full record

ArticleThe journal of physical chemistry. B2020

ADD Force Field for Sugars and Polyols: Predicting the Additivity of Protein-Osmolyte Interaction.

Andrea Arsiccio, Pritam Ganguly, Lorenzo La Cortiglia, Joan-Emma Shea, Roberto Pisano

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Mechanistic Investigation ofMolecular pharmaceutics · 2023
    Article
  3. The Study of Protein-Cyclitol Interactions.International journal of molecular sciences · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrea ArsiccioDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, United States.
Pritam GangulyDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID 0000-0002-6299-3111
Lorenzo La CortigliaDepartment of Applied Science and Technology, Politecnico di Torino, 24 Corso Duca Degli Abruzzi, Torino 10129, Italy.
Joan-Emma SheaDepartment of Chemistry and Biochemistry, University of California, Santa Barbara, Santa Barbara, California 93106, United States.ORCID 0000-0002-9801-9273
Roberto PisanoDepartment of Applied Science and Technology, Politecnico di Torino, 24 Corso Duca Degli Abruzzi, Torino 10129, Italy.ORCID 0000-0001-6990-3126

Funding

The thermodynamics of protein-surface interactionsR01GM118560 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI PLAXCO, KEVIN W · 2017 to 2020
$1.4M
NIGMS NIH HHS R01 GM118560
6 · The paper itself

Abstract

The protein-osmolyte interaction has been shown experimentally to follow an additive construct, where the individual osmolyte-backbone and osmolyte-side-chain interactions contribute to the overall conformational stability of proteins. Here, we computationally reconstruct this additive relation using molecular dynamics simulations, focusing on sugars and polyols, including sucrose and sorbitol, as model osmolytes. A new set of parameters (ADD) is developed for this purpose, using the individual Kirkwood-Buff integrals for sugar-backbone and sugar-side-chain interactions as target experimental data. We show that the ADD parameters can reproduce the additivity of protein-sugar interactions and correctly predict sucrose and sorbitol self-association and their interaction with water. The accurate description of the separate osmolyte-backbone and osmolyte-side-chain contributions also automatically translates into a good prediction of preferential exclusion from the surface of ribonuclease A and α-chymotrypsinogen A. The description of sugar polarity is improved compared to previous force fields, resulting in closer agreement with the experimental data and better compatibility with charged groups, such as the guanidinium moiety. The ADD parameters are developed in combination with the CHARMM36m force field for proteins, but good compatibility is also observed with the AMBER 99SB-ILDN and the OPLS-AA force fields. Overall, exploiting the additivity of protein-osmolyte interactions is a promising approach for the development of new force fields.

Indexed as

ProteinsSugarsMolecular Dynamics SimulationPolymersWaterPolymerspolyolProteinsSugarsWater

Identifiers

PMID32790371
PMCPMC7901642

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.