Quantitative modeling for prediction of thermodynamic properties of some pyridine derivatives using molecular descriptors and genetic algorithm‐multiple linear regressions-Reference-Cited by-同舟云学术

Quantitative modeling for prediction of thermodynamic properties of some pyridine derivatives using molecular descriptors and genetic algorithm‐multiple linear regressions

Published:2019-10-22 Issue:4 Volume:67 Page:514-538
ISSN:0009-4536
Container-title:Journal of the Chinese Chemical Society
language:en
Short-container-title:J Chin Chem Soc

Author:

Hajibabaei Maryam¹,Shafiei Fatemeh¹^ORCID,Abdoli‐Senejani Masumeh¹

Affiliation:

1. Department of Chemistry, Arak BranchIslamic Azad University Arak Iran

Publisher

Wiley

Subject

General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jccs.201900283

Reference43 articles.

1. Synthesis and activities of a thienyl dihydropyridine series on intracellular calcium in a rat pituitary cell line (GH3/B6)

2. Synthesis and evaluation of a series of aminocyanopyridines as antimicrobial agents

3. Targeting Apoptosis, Advanced Glycation End Products and Transforming Growth Factor-β1 by Biguanides and Resveratrol to Ameliorate Experimentally-induced Diabetic Nephropathy

4. Anti-anxiety and sedative profile evaluation of imidazo[1,2-a]pyridine derivatives

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