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ISSN 2063-5346
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IN SILICO-QSAR MODELLING OF PREDICTED GLUCOKINASE - GLUCOKINASE REGULATORY PROTEIN INHIBITORS AGAINST DIABETES

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Ajita Paliwal1#, Gulam Muhammad Khan1,2#, Sarvesh Paliwal, Smita Jain
» doi: 10.31838/ecb/2023.12.4.070

Abstract

Background: Molecular structures hold a wealth of knowledge that can be applied further. The information was decoded using a traditional Quantitative Structure-Activity Relationship (QSAR) approach based on the descriptors. A mono substituted series of Glucokinase- Glucokinase Regulatory Protein Inhibitors (GK-GKRP/GCKR) was the subject of the study. AIM: A new chemical will be created using this knowledge. To determine the suggested compound's binding pattern, docking tests will be carried out.

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