Quantitative structure activity relationship studies of novel hydrazone derivatives as α-amylase inhibitors with index of ideality of correlation-Reference-Cited by-同舟云学术

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Quantitative structure activity relationship studies of novel hydrazone derivatives as α-amylase inhibitors with index of ideality of correlation

Published:2020-12-24 Issue: Volume: Page:1-22
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Duhan Meenakshi¹,Sindhu Jayant²,Kumar Parvin¹^ORCID,Devi Meena¹,Singh Rahul¹,Kumar Ramesh¹,Lal Sohan¹,Kumar Ashwani³,Kumar Sudhir⁴,Hussain Khalid⁵

Affiliation:

1. Department of Chemistry, Kurukshetra University, Kurukshetra, India

2. Department of Chemistry, COBS&H, CCS Haryana Agricultural University, Hisar, India

3. Department of Pharmaceutical Sciences, Guru Jambeshwar University of Science and Technology, Hisar, India

4. Department of MBB&B, COBS&H, CCS Haryana Agricultural University, Hisar, India

5. Department of Applied Sciences and Humanities, Mewat Engineering College, Nuh, India

Funder

Haryana State Council of Science and Technology

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2020.1863861

Reference70 articles.

1. Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetness

2. Mathematical modeling of cytotoxicity of metal oxide nanoparticles using the index of ideality correlation criteria

3. Predictive QSAR modeling for the antioxidant activity of natural compounds derivatives based on Monte Carlo method

4. Structure-activity relationship of the radical scavenging activities of some natural antioxidants based on the graph of atomic orbitals

5. Recent Developments of Hydrazide/Hydrazone Derivatives and Their Analogs as Anticonvulsant Agents in Animal Models

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4. Does the accounting of the local symmetry fragments in quasi-SMILES improve the predictive potential of the QSAR models of toxicity toward tadpoles?;Toxicology Mechanisms and Methods;2024-04-08

5. A simple and reliable QSPR model for prediction of chromatography retention indices of volatile organic compounds in peppers;RSC Advances;2024

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