Computational Molecular Biology 2024, Vol.14, No.5, 182-190 http://bioscipublisher.com/index.php/cmb 188 disease diagnosis and therapeutic decisions (Smith, 2024). Similarly, the field of synthetic biology, bolstered by advancements in genome editing and protein engineering, is enabling the design of sophisticated mammalian systems for applications in regenerative medicine and cancer immunotherapy. The use of affinity chromatography and high-performance affinity chromatography (HPAC) in conjunction with other techniques like mass spectrometry is enhancing the study of biochemical interactions, facilitating high-throughput drug screening and personalized medicine applications (Leslie et al., 2019). The convergence of these diverse fields is expected to drive significant innovations in the understanding and manipulation of molecular interactions. 6.3 Applications in personalized medicine and drug development The advancements in molecular interaction technologies are set to have profound implications for personalized medicine and drug development. The use of single-molecule biosensors, which offer real-time detection of individual biological molecules with high specificity, is crucial for early disease diagnosis and monitoring medical treatments. These biosensors hold great potential for developing point-of-care devices tailored to individual patient needs (Akkilic et al., 2020). In drug development, multiscale modeling methods that bridge chemical and biological complexity are emerging as powerful tools. These methods, driven by improved algorithms and rich datasets, enable detailed simulations of biochemical systems, facilitating the discovery and design of novel therapeutics. Additionally, the application of computational network biology is providing new insights into the interactions between genotypes, phenotypes, and environmental factors, furthering our understanding of human diseases and aiding in the development of targeted drug therapies (Liu et al., 2020). Acknowledgments The authors express deep gratitude to Prof. and Dr. Xuanjun Fang, Director of the Hainan Institute of Tropical Agricultural Resources and Director of the Hainan Provincal Key Laboratory of Crop Molecular Breeding for his thorough review of the manuscript and for providing comprehensive and systematic revision suggestions. The authors also extend thanks to the two anonymous peer reviewers for their valuable comments and constructive recommendations on this manuscript. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Akkilic N., Geschwindner S., and Höök F., 2020, Single-molecule biosensors: recent advances and applications, Biosensors and Bioelectronics, 151: 111944. https://doi.org/10.1016/j.bios.2019.111944 Arcon J., Defelipe L., Modenutti C., López E., Alvarez-Garcia D., Barril X., Turjanski A., and Marti M., 2017, Molecular dynamics in mixed solvents reveals protein-ligand interactions improves docking and allows accurate binding free energy predictions, Journal of Chemical Information and Modeling, 57(4): 846-863. https://doi.org/10.1021/acs.jcim.6b00678 Ardini M., Baiocco P., Matteo A., Giardina G., and Miele A.E., 2022, Editorial: tailored modulation of interactions between biomolecules: fundamentals and applications, Frontiers in Molecular Biosciences, 9: 961452. https://doi.org/10.3389/fmolb.2022.961452 Biswas P., 2018, Modern biophysical approaches to study protein–ligand interactions, Biophysical Reviews and Letters, 13(4): 133-155. https://doi.org/10.1142/S1793048018300013 Chavez J., and Bruce J., 2019, Chemical cross-linking with mass spectrometry: a tool for systems structural biology, Current opinion in Chemical Biology, 48: 8-18. https://doi.org/10.1016/j.cbpa.2018.08.006 Chen H., Guo W., Shen J., Wang L., and Song J., 2018, Structural principles analysis of host-pathogen protein-protein interactions: a structural bioinformatics survey, IEEE Access, 6: 11760-11771. https://doi.org/10.1109/ACCESS.2018.2807881 Corrales‐Guerrero L.C., Prischi F., and Díaz-Moreno I., 2023, Editorial: weak interactions in molecular machinery volume II, Frontiers in Molecular Biosciences, 10: 1284353. https://doi.org/10.3389/fmolb.2023.1284353
RkJQdWJsaXNoZXIy MjQ4ODYzNA==