Zainal-Abidin Rabiatul-Adawiah, Afiqah-Aleng Nor, Abdullah-Zawawi Muhammad-Redha, Harun Sarahani, Mohamed-Hussein Zeti-Azura
Malaysian Agricultural Research & Development Institute (MARDI), Serdang 43400, Malaysia.
Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus 21030, Malaysia.
Life (Basel). 2022 Apr 27;12(5):650. doi: 10.3390/life12050650.
Protein-protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.
蛋白质-蛋白质相互作用(PPI)参与生物体中发生的每一个生物过程。对PPI的理解对于解读特定生物体中的细胞行为至关重要。来自PPI方法的实验数据已被用于构建PPI网络。PPI网络已广泛应用于生物医学研究,以了解人类疾病的病理生物学。它也被用于理解与作物改良相关的植物生理学。然而,与人类和植物相比,PPI网络在水产养殖中的应用有限。本综述旨在展示使用生物信息学工具和PPI数据库构建PPI网络的工作流程和逐步说明,这有助于预测蛋白质之间的潜在相互作用。我们使用斑马鱼蛋白质——雌激素受体(ERs)来构建和分析PPI网络。因此,为未来探索感兴趣的生物体生理学潜在机制的后续步骤提供指导,最终使水产养殖研究受益。