Published on: July 2026
TOPOLOGICAL ANALYSIS OF HIV/AIDS DRUGS USING GRAPH THEORY, LINEAR REGRESSION MODELS, AND PREDICTIVE MACHINE LEARNING SUITES
R Kiran Kumar K Abhishek
Near Ravi Shankar Guruji Ashram, Tatguni, Bengaluru, Agara, Karnataka 560082, India
Article Status
Available Documents
Abstract
KEYWORDS: QSPR analysis, Linear Regression, XGBoost, Support Vector Regression, 4-DSP index, LFDS index.
How to Cite this Paper
Kumar, R. K. & Abhishek, K. (2026). Topological Analysis of HIV/AIDS Drugs Using Graph Theory, Linear Regression Models, and Predictive Machine Learning Suites. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(7), 1-9. https://doi.org/10.55041/ijcope.v2i7.166
Kumar, R, and K Abhishek. "Topological Analysis of HIV/AIDS Drugs Using Graph Theory, Linear Regression Models, and Predictive Machine Learning Suites." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 7, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i7.166.
Kumar, R, and K Abhishek. "Topological Analysis of HIV/AIDS Drugs Using Graph Theory, Linear Regression Models, and Predictive Machine Learning Suites." International Journal of Creative and Open Research in Engineering and Management 02, no. 7 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i7.166.
Search & Index
References
- Ahmed, W., Zaman, S., Asif, E., Ali, K., Mahmoud, E. E., & Asheboss, M. A. (2024). Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms. BMC Chemistry, 18, 167.
- Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5-32.
- Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 785-794).
- Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273-297.
- Drucker, H., Burges, C. J., Kaufman, L., Smola, A., & Vapnik, V. (1996). Support vector regression machines. Advances in Neural Information Processing Systems, 9, 155-161.
- Farooq, A., et al. (2023). Multi-criteria decision-making optimization models for complex structural HIV drugs. Journal of Mathematical Chemistry, 61(4), 789-804.
- Harary, F. (1969). Graph Theory. Addison-Wesley, Reading, MA.
- Havare, Ö. Ç. (2021). Topological indices and QSPR modeling of some novel drugs used in the cancer treatment. International Journal of Quantum Chemistry, 121(24), e26813.
- Kirmani, S. A. K., Ali, P., & Azam, F. (2021). Topological indices and QSPR/QSAR analysis of some antiviral drugs being investigated for the treatment of COVID-19 patients. International Journal of Quantum Chemistry, 121(9), e26594.
- Montgomery, D. C., Peck, E. A., & Vining, G. G. (2021). Introduction to Linear Regression Analysis. John Wiley & Sons.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Jul 15 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.