Rationalization of the activity Profile of Pyruvate Kinase Isozyme M2 (PKM2) Inhibitors using 3D QSAR
dc.contributor.author | Kusuma, Merugumala | |
dc.contributor.author | Arora, Sahil | |
dc.contributor.author | Kalra, Sourav | |
dc.contributor.author | Chaturvedi, Anuhar | |
dc.contributor.author | Heuser, Michael | |
dc.contributor.author | Kumar, Raj | |
dc.date.accessioned | 2024-01-21T10:38:17Z | |
dc.date.accessioned | 2024-08-13T12:05:12Z | |
dc.date.available | 2024-01-21T10:38:17Z | |
dc.date.available | 2024-08-13T12:05:12Z | |
dc.date.issued | 2021-08-05T00:00:00 | |
dc.description.abstract | Introduction: Pyruvate kinase isozyme M2 (PKM2) was observed to be overexpressed and play a key role in cell growth and cancer cells' metabolism. During the past years, phytochemicals have been developed as new treatment options for chemoprevention and cancer therapy. Natural re-sources, like shikonin (naphthoquinone) and its derivatives, have emerged to be high potential therapeutics in cancer treatment. Methods: Our study aimed to design novel anti-tumour agents (PKM2 inhibitors) focusing on the shikonin scaffold with a better activity using computational methods. We applied a three-dimensional quantitative structure-activity relationship (3D-QSAR) approach using Field-based QSAR. Results: The Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) were performed on a series of forty shikonin derivatives, including shikonin, to develop robust models and rationalize the PKM2 inhibitory activity profile by building a correlation between structural features and activity. Conclusion: These predictive computational models will further help the design and synthesis of potent PKM2 inhibitors and their fast biological assessment at a low cost. � 2021 Bentham Science Publishers. | en_US |
dc.identifier.doi | 10.2174/1568026621666210804124555 | |
dc.identifier.issn | 15680266 | |
dc.identifier.uri | http://10.2.3.109/handle/32116/3522 | |
dc.identifier.url | https://www.eurekaselect.com/195263/article | |
dc.language.iso | en_US | en_US |
dc.publisher | Bentham Science Publishers | en_US |
dc.subject | 3D QSAR | en_US |
dc.subject | Cancer | en_US |
dc.subject | CoMFA | en_US |
dc.subject | CoMSIA | en_US |
dc.subject | Field-based QSAR | en_US |
dc.subject | PKM2 inhibitors | en_US |
dc.subject | Shikonin derivatives | en_US |
dc.title | Rationalization of the activity Profile of Pyruvate Kinase Isozyme M2 (PKM2) Inhibitors using 3D QSAR | en_US |
dc.title.journal | Current Topics in Medicinal Chemistry | en_US |
dc.type | Article | en_US |
dc.type.accesstype | Closed Access | en_US |