Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource QSAR Approach for Drug Discovery Targeting the Glucagon Receptor Using Machine Learning Subject The topic of the resource Computational modeling; Drug Discovery; Glucagon receptor; Ligand efficiency; Machine Learning; QSAR Description An account of the resource Metabolic disorders like type 2 diabetes are increasing day by day so the study focusing drug discovery of glucagon receptor has become important.One of the method to study the binding strength between chemical compounds is Quantitative Structure-Activity Relationship (QSAR) which is discussed in this paper.We gathered a curated dataset of glucagon receptor ligands from the ChEMBL bio activity dataset and studied the physical and chemical properties of the molecules using factors like molecular weight and logarithm of the partition coefficient.Then Random forest regression model was applied for prediction of the binding strength of ligands. The efficiency information of ligand was extracted which contributed to study of the molecular features concerning the activity of glucagon receptor in a much easier manner. These findings highlight the potential of QSAR in elucidating the key determinants of ligated-receptor interactions and guiding the rational design of novel glucagon receptor modulators. The integration of computational approaches with experimental validation holds promise for accelerating the development of effective therapies for metabolic disorders, addressing unmet clinical needs in this field. 2023 IEEE. Creator An entity primarily responsible for making the resource Sharma V.; Sarkar O.; Mishra S.; Sinha S. Source A related resource from which the described resource is derived 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 702-706. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/UPCON59197.2023.10434543" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/UPCON59197.2023.10434543</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187389784&amp;doi=10.1109%2FUPCON59197.2023.10434543&amp;partnerID=40&amp;md5=b7b8bf4f186784f6b34ad9678e466e4b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187389784&amp;doi=10.1109%2fUPCON59197.2023.10434543&amp;partnerID=40&amp;md5=b7b8bf4f186784f6b34ad9678e466e4b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038247-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharma V., Christ (Deemed to Be University), Delhi NCR, India; Sarkar O., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sinha S., Kalinga Institute of Industrial Technology, Deemed to Be University, India