2023
DOI: 10.1111/1541-4337.13280
|View full text |Cite
|
Sign up to set email alerts
|

Molecular simulation for food protein–ligand interactions: A comprehensive review on principles, current applications, and emerging trends

Zihan Jin,
Zihao Wei

Abstract: In recent years, investigations on molecular interaction mechanisms between food proteins and ligands have attracted much interest. The interaction mechanisms can supply much useful information for many fields in the food industry, including nutrient delivery, food processing, auxiliary detection, and others. Molecular simulation has offered extraordinary insights into the interaction mechanisms. It can reflect binding conformation, interaction forces, binding affinity, key residues, and other information that… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 146 publications
0
5
0
Order By: Relevance
“…However, the precise reason for the observed inhibition pattern remains elusive. The development of advanced computational tools (especially advanced molecular docking and MD simulation methods) allows for the accurate investigation of complex inhibitory mechanisms, transforming the field of drug discovery and enhancing our comprehension of biomolecular interactions ( Rossetti and Mandelli, 2022 ; Jin and Wei, 2024 ). In an attempt to provide a detailed insight, a computational exploration has been made to envisage the binding conformations both in static and dynamic modes.…”
Section: Resultsmentioning
confidence: 99%
“…However, the precise reason for the observed inhibition pattern remains elusive. The development of advanced computational tools (especially advanced molecular docking and MD simulation methods) allows for the accurate investigation of complex inhibitory mechanisms, transforming the field of drug discovery and enhancing our comprehension of biomolecular interactions ( Rossetti and Mandelli, 2022 ; Jin and Wei, 2024 ). In an attempt to provide a detailed insight, a computational exploration has been made to envisage the binding conformations both in static and dynamic modes.…”
Section: Resultsmentioning
confidence: 99%
“…Molecular simulation is an emerging technology which has been widely applied to reasonably predict protein changes and visualize detailed information. 27 In this study, this simulation technology and practical experiments were combined to analyze the effect of PTM sites on the PKM function. Seventeen phosphorylation and acetylation sites of PKM in prerigor and postrigor lamb were mutated and analyzed using BIOVIA Discovery Studio, respectively.…”
Section: ■ Discussionmentioning
confidence: 99%
“…Although it has been proven that PTM regulates meat quality through PKM regulation and numerous PTM sites of PKM have been identified, the effect of specific PTM sites on PKM function has not been investigated yet. Molecular simulation is an emerging technology which has been widely applied to reasonably predict protein changes and visualize detailed information . In this study, this simulation technology and practical experiments were combined to analyze the effect of PTM sites on the PKM function.…”
Section: Discussionmentioning
confidence: 99%
“…Simultaneously, the resurgence of deep learning has brought forth advancements, with graph neural networks and recurrent neural networks offering automatic feature extraction capabilities (Philippe et al, 2024). This has made it possible to model complex molecular structures, including peptides (Jin and Wei, 2024) and macrocycles (Nguyen et al, 2024). Challenges, such as data scarcity and incomprehensibility, have sparked research into nature-inspired machine learning and active learning strategies.…”
Section: Key Technologies In Ai-driven Drug Discoverymentioning
confidence: 99%