GET THE APP

QSAR analysis for antimicrobial activity of veratric acid derivatives using artificial neural network | Abstract

Der Pharma Chemica
Journal for Medicinal Chemistry, Pharmaceutical Chemistry, Pharmaceutical Sciences and Computational Chemistry

ISSN: 0975-413X
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission Systemof respective journal.

Abstract

QSAR analysis for antimicrobial activity of veratric acid derivatives using artificial neural network

Author(s): M. Abdolmaleki, A. A. Suratgar and R. Sadeghi Sarabi

This paper uses artificial neural network in Quantitative Structure-Activity Relationships (QSAR) model of the antimicrobial activity of veratric acid derivatives. The application of ANN as a QSAR has been provided with respect to the prediction of antimicrobial activity of veratric acid derivatives based on their topological parameters generated by chemistry calculation. The simulation results of ANN QSAR model are very promising.


PDF

Select your language of interest to view the total content in your interested language

30+ Million Readerbase
SCImago Journal & Country Rank
Google Scholar citation report
Citations : 25868

Der Pharma Chemica received 25868 citations as per Google Scholar report

Der Pharma Chemica peer review process verified at publons
Der Pharma Chemica- Journals on pharmaceutical chemistry