Madhulata Kumari

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 5

Top Topics

Binary And Multi Class

Machine Learning

Support Vector Machine Classifiers

Top Venues

Int. J. Comput. Biol. Drug Des.

Comput. Biol. Medicine

Publications

Madhulata Kumari, Naidu Subbarao
Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases. Comput. Biol. Medicine 132 (2021)
Madhulata Kumari, Neeraj Tiwari, Naidu Subbarao
A genetic programming-based approach and machine learning approaches to the classification of multiclass anti-malarial datasets. Int. J. Comput. Biol. Drug Des. 11 (4) (2018)
Madhulata Kumari, Neeraj Tiwari, Subhash Chandra, Naidu Subbarao
Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis. Int. J. Comput. Biol. Drug Des. 11 (3) (2018)
Madhulata Kumari, Subhash Chandra
In silico prediction and evaluation of interaction between protein arginine N-methyltransferase 5 cancer target and curcumin derivatives by molecular docking and simulation. Int. J. Comput. Biol. Drug Des. 10 (1) (2017)
Madhulata Kumari, Neeraj Tiwari, Naidu Subbarao, Subhash Chandra
Evaluation of predictive models based on random forest, decision tree and support vector machine classifiers and virtual screening of anti-mycobacterial compounds. Int. J. Comput. Biol. Drug Des. 10 (3) (2017)
Madhulata Kumari, Subhash Chandra
In silico prediction of anti-malarial hit molecules based on machine learning methods. Int. J. Comput. Biol. Drug Des. 8 (1) (2015)