Home About Browse Search
Svenska


Modeling to Understand Plant Protein Structure-Function Relationships-Implications for Seed Storage Proteins

Rasheed, Faiza and Markgren, Joel and Hedenqvist, Mikael and Johansson, Eva (2020). Modeling to Understand Plant Protein Structure-Function Relationships-Implications for Seed Storage Proteins. Molecules (Basel, Switzerland). 25 , 1-17
[Article Review/Survey]

[img] PDF - Published Version
Available under License Creative Commons Attribution.

731kB

Abstract

Proteins are among the most important molecules on Earth. Their structure and aggregation behavior are key to their functionality in living organisms and in protein-rich products. Innovations, such as increased computer size and power, together with novel simulation tools have improved our understanding of protein structure-function relationships. This review focuses on various proteins present in plants and modeling tools that can be applied to better understand protein structures and their relationship to functionality, with particular emphasis on plant storage proteins. Modeling of plant proteins is increasing, but less than 9% of deposits in the Research Collaboratory for Structural Bioinformatics Protein Data Bank come from plant proteins. Although, similar tools are applied as in other proteins, modeling of plant proteins is lagging behind and innovative methods are rarely used. Molecular dynamics and molecular docking are commonly used to evaluate differences in forms or mutants, and the impact on functionality. Modeling tools have also been used to describe the photosynthetic machinery and its electron transfer reactions. Storage proteins, especially in large and intrinsically disordered prolamins and glutelins, have been significantly less well-described using modeling. These proteins aggregate during processing and form large polymers that correlate with functionality. The resulting structure-function relationships are important for processed storage proteins, so modeling and simulation studies, using up-to-date models, algorithms, and computer tools are essential for obtaining a better understanding of these relationships.

Authors/Creators:Rasheed, Faiza and Markgren, Joel and Hedenqvist, Mikael and Johansson, Eva
Title:Modeling to Understand Plant Protein Structure-Function Relationships-Implications for Seed Storage Proteins
Year of publishing :2020
Volume:25
Page range:1-17
Number of Pages:17
Publisher:MDPI
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Biochemistry and Molecular Biology
Keywords:albumin, globulin, glutelin, monte carlo simulation, molecular dynamics simulation, prolamin
URN:NBN:urn:nbn:se:slu:epsilon-p-105218
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-105218
Additional ID:
Type of IDID
DOI10.3390/molecules25040873
Web of Science (WoS)000522454500109
ID Code:16907
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:07 May 2020 11:56
Metadata Last Modified:07 May 2020 11:56

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits