International Journal of Drug Delivery Technology
Volume 16, Issue 16s, 2026

Data Analysis Prediction of pKa Values in Neural Network using Topological Indices

M.S. Magdum1*, D.S. Revankar2, J. R. Gurjar1

1*Department of Mathematics, KLS Gogte Institute of Technology, Udyambag Belagavi, Karnataka, 590008, India. Email: msmagdum@git.edu. ORCID: https://orcid.org/0009-0008-4482-9159

1Jeetendra R. Gurjar. Email: jeetendra.g8@gmail.com. ORCID: https://orcid.org/0000-0002-6574-353X

2Department of Mathematics, KLE DR. M. S. Sheshgeri College of Engineering & Technology, Belgaum – 590008, India. Email: revankards@gmail.com. ORCID: https://orcid.org/0000-0002-3441-9964

ABSTRACT

This study aims to predict pKa value of neurotransmitters using eccentricity index and degree index. Materials and Methods: pKa values of neurotransmitters prescribed for specific data analysis tools like MATLAB. A study determines that the pKa prediction based on two methods, the eccentricity index and the degree index of chemical structures of eight neurotransmitters.

Keywords: pKa value, molecular graph, neurotransmitter, eccentricity index, degree index.

Subject Classification: 05C07, 05C10

How to cite this article: Magdum MS, Revankar DS, Gurjar JR. Data Analysis Prediction of pKa Values in Neural Network using Topological Indices. Int J Drug Deliv Technol. 2026;16(16s): 217-223. DOI: 10.25258/ijddt.16.16s.23

Source of support: Nil.

Conflict of interest: None