Liangbing Chen , Xianle Ruan , Xinyi Li , Huanling Fu

College of Life Sciences and Agronomy, Zhoukou Normal University, Zhoukou, 466000, Henan, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 5   doi: 10.5376/cmb.2024.14.0021
Received: 15 Jul., 2024    Accepted: 26 Aug., 2024    Published: 10 Sep., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Chen et al., 2024, Molecular interactions in biological systems: technological applications and innovations, Computational Molecular Biology, 14(5): 182-190 (doi: 10.5376/cmb.2024.14.0021)

This study reviews the complex interactions between proteins, DNA, RNA, lipids, and small molecules in biological systems, emphasizing the critical role of the "interactome" concept in understanding organismal functions. These interactions, including protein-protein and protein-RNA interactions, play significant roles in cellular processes such as recognition, regulation, and signaling, and have great potential in drug discovery. The research methods encompass various biophysical techniques, such as mass spectrometry (MS), nuclear magnetic resonance (NMR) spectroscopy, and surface plasmon resonance (SPR), which are used to elucidate the structure and dynamics of molecular interactions. The results demonstrate that molecular interactions are key to developmental innovation, environmental adaptation, and disease mechanisms, particularly in revealing the interactions between biological membranes and small molecules, protein complex formation, and drug target discovery. The study highlights the importance of future improvements in research methods, especially through the integration of computational and experimental approaches, to better understand the dynamic molecular interactions in biological systems.

Molecular interactions; Biophysical techniques; Protein-protein interactions; Molecular dynamics simulations; Drug discovery