Deciphering Biomolecular Networks: Integrating Methods for Comprehensive Insights

first_page Download PDF settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessAbstract Deciphering Biomolecular Networks: Integrating Methods for Comprehensive Insights † by Ujban HussainUjban Hussain SciProfiles Scilit Preprints.org Google Scholar 1, Samiksha Sandeep TammewarSamiksha Sandeep Tammewar SciProfiles Scilit Preprints.org Google Scholar 2 and Aditya WadalkarAditya Wadalkar SciProfiles Scilit Preprints.org Google Scholar 1,* 1 Department of Pharmaceutical Sciences, The Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur 440033, India 2 Priyadarshini J. L. College of Pharmacy, Nagpur 440016, India * Author to whom correspondence should be addressed. † Presented at the 3rd International Electronic Conference on Biomolecules, 23–25 April 2024; Available online: https://sciforum.net/event/IECBM2024. Proceedings 2024, 103(1), 44; https://doi.org/10.3390/proceedings2024103044 Published: 12 April 2024 (This article belongs to the Proceedings of The 3rd International Electronic Conference on Biomolecules) Download keyboard_arrow_down Download PDF Download PDF with Cover Download XML Download Epub Versions Notes Keywords: biomolecular interactions; protein-protein interactions; omics data integration; therapeutic targets; experimental biology; computational biology; interactions on-chip; surface characterization tools Introduction: Recent advancements in biomolecular research have significantly enhanced our comprehension of the intricate interactions and networks governing cellular processes. This abstract introduces a review focused on biomolecular interactions and networks with a particular emphasis on comparing state-of-the-art methodologies, both experimental and computational, utilized in the study of protein–protein interactions.Methods: Cutting-edge techniques in experimental and computational biology have been pivotal in unraveling biomolecular interactions. This review synthesizes the methodologies employed in studying protein–protein interactions, encompassing advanced experimental approaches such as X-ray crystallography and NMR spectroscopy. Moreover, it explores the integration of omics data, outlining the computational strategies used to construct comprehensive biomolecular networks.Results: Exploring protein–protein interactions has revealed intricate binding interfaces and significant conformational changes, offering crucial insights into cellular function regulation. Through the integration of various data sources, including genomics, transcriptomics, proteomics, and metabolomics, a holistic view of biomolecular networks has emerged, elucidating the interconnectedness of molecular events within cells. These findings highlight the potential for targeted drug development and therapeutic approaches, driven by a deeper understanding of these networks.Conclusions: This review underscores the collaborative efforts of researchers in advancing biomolecular science. By comparing different methodologies, including both experimental and computational approaches, significant progress has been made in deciphering the complexities of biomolecular networks. Clarification is provided regarding the inclusion of interactions on-chip, with surface characterization tools being considered where applicable. Author ContributionsAll authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.FundingThis research received no external funding.Institutional Review Board StatementNot applicable.Informed Consent StatementNot applicable.Data Availability StatementData Available on request.Conflicts of InterestThe authors declare no conflict of interest.Disclaimer/Publisher's Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Hussain, U.; Tammewar, S.S.; Wadalkar, A. Deciphering Biomolecular Networks: Integrating Methods for Comprehensive Insights. Proceedings 2024, 103, 44. https://doi.org/10.3390/proceedings2024103044 AMA Style Hussain U, Tammewar SS, Wadalkar A. Deciphering Biomolecular Networks: Integrating Methods for Comprehensive Insights. Proceedings. 2024; 103(1):44. https://doi.org/10.3390/proceedings2024103044 Chicago/Turabian Style Hussain, Ujban, Samiksha Sandeep Tammewar, and Aditya Wadalkar. 2024. "Deciphering Biomolecular Networks: Integrating Methods for Comprehensive Insights" Proceedings 103, no. 1: 44. https://doi.org/10.3390/proceedings2024103044 Article Metrics No No Article Access Statistics Multiple requests from the same IP address are counted as one view.