Studying protein-protein interactions: Latest and most popular approaches

被引:1
|
作者
Akbarzadeh, Sama [1 ,2 ]
Coskun, Ozlem [3 ]
Guncer, Basak [1 ]
机构
[1] Istanbul Univ, Istanbul Fac Med, Dept Biophys, Istanbul, Turkiye
[2] Istanbul Univ, Inst Grad Studies Hlth Sci, Istanbul, Turkiye
[3] Canakkale Onsekiz Mart Univ, Fac Med, Dept Biophys, Canakkale, Turkiye
关键词
Protein-Protein Interaction (PPI) Networks; High-Throughput Screening (HTS); Computational approaches; Structural bioinformatics; Interactome analysis; RECURRENT NEURAL-NETWORKS; MDM2; INHIBITOR; HOT-SPOTS; DISCOVERY; PREDICTION; ANTIBODY; SAFETY; P53; PHARMACOKINETICS; CHEMOTHERAPY;
D O I
10.1016/j.jsb.2024.108118
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
PPIs, or protein-protein interactions, are essential for many biological processes. According to the findings, abnormal PPIs have been linked to several diseases, such as cancer and infectious and neurological disorders. Consequently, focusing on PPIs is a path toward disease treatment and a crucial tool for producing novel medications. Many methods exist to investigate PPIs, including low- and high-throughput studies. Since many PPIs have been discovered using in vitro and in vivo experimental approaches, the use of computational methods to predict PPIs has grown due to the expanding scale of PPI data and the intrinsic complexity of interacting mechanisms. Recognizing PPI networks offers a systematic means of predicting protein functions, and pathways that are included. These investigations can help uncover the underlying molecular mechanisms of complex phenotypes and clarify the biological processes related to health and diseases. Therefore, our goal in this study is to provide an overview of the latest and most popular approaches for investigating PPIs. We also overview some important clinical approaches based on the PPIs and how these interactions can be targeted.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Protein Coadaptation and the Design of Novel Approaches to Identify Protein-Protein Interactions
    Fares, Mario A.
    Ruiz-Gonzalez, Mario X.
    Labrador, Juan Pablo
    IUBMB LIFE, 2011, 63 (04) : 264 - 271
  • [22] Computational approaches for the design of modulators targeting protein-protein interactions
    Rehman, Ashfaq Ur
    Khurshid, Beenish
    Ali, Yasir
    Rasheed, Salman
    Wadood, Abdul
    Ng, Ho-Leung
    Chen, Hai-Feng
    Wei, Zhiqiang
    Luo, Ray
    Zhang, Jian
    EXPERT OPINION ON DRUG DISCOVERY, 2023, : 315 - 333
  • [23] BLOTTING AND BAND-SHIFTING - TECHNIQUES FOR STUDYING PROTEIN-PROTEIN INTERACTIONS
    CARR, DW
    SCOTT, JD
    TRENDS IN BIOCHEMICAL SCIENCES, 1992, 17 (07) : 246 - 249
  • [24] NMR methods for studying protein-protein interactions involved in translation initiation
    Marintchev, Assen
    Frueh, Dominique
    Wagner, Gerhard
    TRANSLATION INITIATION: RECONSTITUTED SYSTEMS AND BIOPHYSICAL METHODS, 2007, 430 : 283 - +
  • [25] Studying inner ear protein-protein interactions using FRET and FLIM
    Hallworth, Richard
    Currall, Benjamin
    Nichols, Michael G.
    Wu, Xudong
    Zuo, Jian
    BRAIN RESEARCH, 2006, 1091 : 122 - 131
  • [26] Discovery of Modulators of Protein-Protein Interactions: Current Approaches and Limitations
    Meireles, Lidio M. C.
    Mustata, Gabriela
    CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2011, 11 (03) : 248 - 257
  • [27] Application of Biolayer Interferometry (BLI) for Studying Protein-Protein Interactions in Transcription
    Desai, Malhar
    Di, Rong
    Fan, Huizhou
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2019, (149):
  • [28] Cluster conservation as a novel tool for studying protein-protein interactions evolution
    Rahat, Ofer
    Yitzhaky, Assif
    Schreiber, Gideon
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2008, 71 (02) : 621 - 630
  • [29] Application of Machine Learning Approaches for Protein-protein Interactions Prediction
    Zhang, Mengying
    Su, Qiang
    Lu, Yi
    Zhao, Manman
    Niu, Bing
    MEDICINAL CHEMISTRY, 2017, 13 (06) : 506 - 514
  • [30] Studying Protein-Protein Interactions of Receptor Tyrosine Kinases on μ-Patterned Surfaces
    Lanzerstorfer, Peter
    Steininger, Andrea
    Takahashi, Shin Ichiro
    Hoeglinger, Otmar
    Weghuber, Julian
    BIOPHYSICAL JOURNAL, 2013, 104 (02) : 608A - 608A