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Research Article

Prediction of the relationship between the structural features of andrographolide derivatives and α-glucosidase inhibitory activity: A quantitative structure-activity relationship (QSAR) Study

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Pages 78-87 | Received 06 Oct 2009, Accepted 23 Feb 2010, Published online: 20 Dec 2010

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N. S. Hari Narayana Moorthy, Maria J. Ramos & Pedro A. Fernandes. (2012) Structural analysis of structurally diverse α-glucosidase inhibitors for active site feature analysis. Journal of Enzyme Inhibition and Medicinal Chemistry 27:5, pages 649-657.
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Articles from other publishers (11)

Karel Diéguez-Santana, Amilkar Puris, Oscar M. Rivera-Borroto, Gerardo M. Casanola-Martin, Bakhtiyor Rasulev & Humberto González-Díaz. (2022) A Fuzzy System Classification Approach for QSAR Modeling of α- Amylase and α-Glucosidase Inhibitors. Current Computer-Aided Drug Design 18:7, pages 469-479.
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Abdellah El Aissouq, Oussama Chedadi, Rania Kasmi, Larbi Elmchichi, Fatima En-nahli, Amina Goudzal, Mohammed Bouachrine, Abdelkrim Ouammou & Fouad Khalil. (2021) Molecular Modeling Studies of C-Glycosylfavone Derivatives as GSK-3β Inhibitors Based on QSAR and Docking Analysis. Journal of Solution Chemistry 50:5, pages 808-822.
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Qian Xie, Hongyan Li, Danni Lu, Jianmei Yuan, Rong Ma, Jinxiu Li, Mihong Ren, Yong Li, Hai Chen, Jian Wang & Daoyin Gong. (2021) Neuroprotective Effect for Cerebral Ischemia by Natural Products: A Review. Frontiers in Pharmacology 12.
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Lili Gu, Jiaqi Lu, Qin Li, Wenhai Huang, Ningzi Wu, Qingqing Yu, Hong Lu & Xinyue Zhang. (2020) Synthesis, extracorporeal nephrotoxicity, and 3D‐QSAR of andrographolide derivatives. Chemical Biology & Drug Design 97:3, pages 592-606.
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Sai Giridhar Sarma Kandanur, Nitesh Tamang, Nageswara Rao Golakoti & Srinivas Nanduri. (2019) Andrographolide: A natural product template for the generation of structurally and biologically diverse diterpenes. European Journal of Medicinal Chemistry 176, pages 513-533.
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Karel Diéguez‐Santana, Oscar M. Rivera‐Borroto, Amilkar Puris, Hai Pham‐The, Huong Le‐Thi‐Thu, Bakhtiyor Rasulev & Gerardo M. Casañola‐Martin. (2019) Beyond model interpretability using LDA and decision trees for α‐amylase and α‐glucosidase inhibitor classification studies . Chemical Biology & Drug Design 94:1, pages 1414-1421.
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Lucas A. Chibli, Thomas J. Schmidt, M. Cristina Nonato, Felipe A. Calil & Fernando B. Da Costa. (2018) Natural products as inhibitors of Leishmania major dihydroorotate dehydrogenase. European Journal of Medicinal Chemistry 157, pages 852-866.
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N.S.H.N. Moorthy, Natércia F. Brás, Maria J. Ramos & Pedro A. Fernandes. (2012) Virtual screening and QSAR study of some pyrrolidine derivatives as α-mannosidase inhibitors for binding feature analysis. Bioorganic & Medicinal Chemistry 20:24, pages 6945-6959.
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N. S. Hari Narayana Moorthy, Maria J. Ramos & Pedro A. Fernandes. (2011) Comparative Structural Analysis of α‐Glucosidase Inhibitors on Difference Species: A Computational Study. Archiv der Pharmazie 345:4, pages 265-274.
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N.S. Hari Narayana Moorthy, Maria J. Ramos & Pedro A. Fernandes. (2011) Structural analysis of α-glucosidase inhibitors by validated QSAR models using topological and hydrophobicity based descriptors. Chemometrics and Intelligent Laboratory Systems 109:2, pages 101-112.
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N.S. Hari Narayana Moorthy, Sergio F. Sousa, Maria J. Ramos & Pedro A. Fernandes. (2011) In Silico–Based Structural Analysis of Arylthiophene Derivatives for FTase Inhibitory Activity, hERG, and Other Toxic Effects. SLAS Discovery 16:9, pages 1037-1046.
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