Evidence map›Paper›PMID 31951485›Full record

ReviewAnnual review of food science and technology2020

Understanding and Controlling Food Protein Structure and Function in Foods: Perspectives from Experiments and Computer Simulations.

Fernando Luís Barroso da Silva, Paolo Carloni, David Cheung, Grazia Cottone, Serena Donnini, E Allen Foegeding, Muhammad Gulzar, Jean Christophe Jacquier, Vladimir Lobaskin, Donal MacKernan and 3 more

Abstract readReview
In one paragraph

Review in Annual review of food science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Legume Allergens Pea, Chickpea, Lentil, Lupine and Beyond.Current allergy and asthma reports · 2024
    Review
  7. Milk Protein Adsorption on Metallic Iron Surfaces.Nanomaterials (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Functional Performance of Plant Proteins.Foods (Basel, Switzerland) · 2022
    Review
  11. Article
  12. Article
  13. 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

13 authors.

Fernando Luís Barroso da SilvaSchool of Pharmaceutical Sciences at Ribeirão Preto, University of São Paulo, BR-14040-903, Ribeirão Preto, São Paulo, Brazil.
Paolo CarloniInstitute for Computational Biomedicine (IAS-5/INM-9), Forschungszentrum Jülich, 52425 Jülich, Germany.
David CheungSchool of Chemistry, National University of Ireland Galway, Galway, Ireland.
Grazia CottoneDepartment of Physics and Chemistry, University of Palermo, 90128 Palermo, Italy.
Serena DonniniDepartment of Biological and Environmental Science, University of Jyväskylä, Jyväskylä 40014, Finland.
E Allen FoegedingDepartment of Food, Bioprocessing, & Nutrition Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA.
Muhammad GulzarUCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
Jean Christophe JacquierUCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
Vladimir LobaskinUCD School of Physics, University College Dublin, Dublin 4, Ireland.
Donal MacKernanUCD School of Physics, University College Dublin, Dublin 4, Ireland.
Zeynab Mohammad Hosseini NavehKashmar Higher Education Institute, Kashmar, Iran.
Ravi RadhakrishnanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA.
Erik E SantisoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, USA.

Funding

PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Bridging multiple scales in modeling targeted drug nanocarrier deliveryU01EB016027 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M, RADHAKRISHNAN, RAVI · 2013 to 2017
$2.7M
NCI NIH HHS U54 CA193417NIBIB NIH HHS U01 EB016027
6 · The paper itself

Abstract

The structure and interactions of proteins play a critical role in determining the quality attributes of many foods, beverages, and pharmaceutical products. Incorporating a multiscale understanding of the structure-function relationships of proteins can provide greater insight into, and control of, the relevant processes at play. Combining data from experimental measurements, human sensory panels, and computer simulations through machine learning allows the construction of statistical models relating nanoscale properties of proteins to the physicochemical properties, physiological outcomes, and tastes of foods. This review highlights several examples of advanced computer simulations at molecular, mesoscale, and multiscale levels that shed light on the mechanisms at play in foods, thereby facilitating their control. It includes a practical simulation toolbox for those new to in silico modeling.

Indexed as

Computer SimulationFoodDietary ProteinsStructure-Activity RelationshipDietary Proteinscoarse grainingconstant-pH simulationGPCRmolecular dynamicsmolecular interactionsQSARrare-event methods

Identifiers

PMID31951485
PMCPMC7379328

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.