A General Use QSAR-ARX Model to Predict the Corrosion Inhibition Efficiency of Drugs in Terms of Quantum Mechanical Descriptors and Experimental Comparison for Lidocaine

A General Use QSAR-ARX Model to Predict the Corrosion Inhibition Efficiency of Drugs in Terms of Quantum Mechanical Descriptors and Experimental Comparison for Lidocaine

A study of 250 commercial drugs to act as corrosion inhibitors on steel has been developed by applying the quantitative structure-activity relationship (QSAR) paradigm. Hard-soft acid-base (HSAB) descriptors were used to establish a mathematical model to predict the corrosion inhibition efficiency (...

Full description

Bibliographic Details
Main Authors: Beltran-Perez, C. (Author), Espinoza-Vázquez, A. (Author), Martínez-Jiménez, A. (Author), Miralrio, A. (Author), Orozco-Cruz, R. (Author), Serrano, A.A.A (Author), Solís-Rosas, G. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
ARX model
corrosion inhibition
FROLS algorithm
lidocaine
QSAR
tight binding
Online Access:View Fulltext in Publisher

Similar Items

Similar Items