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Wang Y, Liu T, Xie J, Cheng M, Sun L, Zhang S, Xin J, Zhang N. A review on application of molecular simulation technology in food molecules interaction. Curr Res Food Sci 2022; 5:1873-1881. [PMID: 36276243 PMCID: PMC9579209 DOI: 10.1016/j.crfs.2022.10.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 11/06/2022] Open
Abstract
Molecular simulation is a new technology to analyze the interaction between molecules. This review mainly summarizes the application of molecular simulation technology in the food industry. This technology has been employed to assess structural changes of biomolecules, the interaction between components, and the mechanism of physical and chemical property alterations. These conclusions provide a deeper understanding of the molecular interaction mechanism in foods, break through the limitations of scientific experiments and avoid blind and time-consuming scientific research. In this paper, the advantages and development trends of molecular simulation technology in the food research field are described. This methodology can be used to contribute to further studies of the mechanism of molecular interactions in food, confirm experimental results and provide new ideas for research in the field of food sciences.
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Affiliation(s)
- Yan Wang
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Tianjiao Liu
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Jinhui Xie
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Meijia Cheng
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Lirui Sun
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Shuai Zhang
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China
| | - Jiaying Xin
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China,State Key Laboratory for Oxo Synthesis & Selective Oxidation, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, PR China
| | - Na Zhang
- Key Laboratory for Food Science & Engineering, Harbin University of Commerce, Harbin, 150076, PR China,Corresponding author.
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Ferreira de Oliveira N, Sachetto ATA, Santoro ML. Two-Dimensional Blue Native/SDS Polyacrylamide Gel Electrophoresis for Analysis of Brazilian Bothrops Snake Venoms. Toxins (Basel) 2022; 14:toxins14100661. [PMID: 36287928 PMCID: PMC9611221 DOI: 10.3390/toxins14100661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Viperidae snakes are the most important agents of snakebites in Brazil. The protein composition of snake venoms has been frequently analyzed by means of electrophoretic techniques, but the interaction of proteins in venoms has barely been addressed. An electrophoretic technique that has gained prominence to study this type of interaction is blue native polyacrylamide gel electrophoresis (BN-PAGE), which allows for the high-resolution separation of proteins in their native form. These protein complexes can be further discriminated by a second-dimension gel electrophoresis (SDS-PAGE) from lanes cut from BN-PAGE. Once there is no study on the use of bidimensional BN/SDS-PAGE with snake venoms, this study initially standardized the BN/SDS-PAGE technique in order to evaluate protein interactions in Bothrops atrox, Bothrops erythromelas, and Bothrops jararaca snake venoms. Results of BN/SDS-PAGE showed that native protein complexes were present, and that snake venom metalloproteinases and venom serine proteinases maintained their enzymatic activity after BN/SDS-PAGE. C-type lectin-like proteins were identified by Western blotting. Therefore, bidimensional BN/SDS-PAGE proved to be an easy, practical, and efficient method for separating functional venom proteins according to their assemblage in complexes, as well as to analyze their biological activities in further details.
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Affiliation(s)
- Natacha Ferreira de Oliveira
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
| | - Ana Teresa Azevedo Sachetto
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Programa de Pós-Graduação em Ciências Médicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, SP, Brazil
| | - Marcelo Larami Santoro
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Programa de Pós-Graduação em Ciências Médicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, SP, Brazil
- Correspondence: or ; Tel.: +55-11-2627-9559
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Wang S, Wu R, Lu J, Jiang Y, Huang T, Cai YD. Protein-protein interaction networks as miners of biological discovery. Proteomics 2022; 22:e2100190. [PMID: 35567424 DOI: 10.1002/pmic.202100190] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 03/28/2022] [Accepted: 04/29/2022] [Indexed: 11/12/2022]
Abstract
Protein-protein interactions (PPIs) form the basis of a myriad of biological pathways and mechanism, such as the formation of protein-complexes or the components of signaling cascades. Here, we reviewed experimental methods for identifying PPI pairs, including yeast two-hybrid, mass spectrometry, co-localization, and co-immunoprecipitation. Furthermore, a range of computational methods leveraging biochemical properties, evolution history, protein structures and more have enabled identification of additional PPIs. Given the wealth of known PPIs, we reviewed important network methods to construct and analyze networks of PPIs. These methods aid biological discovery through identifying hub genes and dynamic changes in the network, and have been thoroughly applied in various fields of biological research. Lastly, we discussed the challenges and future direction of research utilizing the power of PPI networks. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Steven Wang
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Runxin Wu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jiaqi Lu
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA
| | - Yijia Jiang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Tao Huang
- Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
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Jia Y, Kowalski P, Lopez I. Erratum to "Using yeast two-hybrid system and molecular dynamics simulation to detect venom protein-protein interactions" [Curr. Res. Toxicol. 2 (2021) 1-7]. Curr Res Toxicol 2021; 2:366. [PMID: 34766009 DOI: 10.1016/j.crtox.2021.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
[This corrects the article DOI: 10.1016/j.crtox.2021.02.006.].
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Affiliation(s)
- Ying Jia
- Biology Department, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Paulina Kowalski
- Biology Department, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Ivan Lopez
- Biology Department, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
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