Madhulata Kumari

According to our database, Madhulata Kumari authored at least 6 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.

Madhulata Kumari, Naidu Subbarao

Comput. Biol. Medicine, 2021

2018

A genetic programming-based approach and machine learning approaches to the classification of multiclass anti-malarial datasets.

Madhulata Kumari, Neeraj Tiwari, Naidu Subbarao

Int. J. Comput. Biol. Drug Des., 2018

Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis.

Madhulata Kumari, Neeraj Tiwari, Subhash Chandra, Naidu Subbarao

Int. J. Comput. Biol. Drug Des., 2018

2017

Evaluation of predictive models based on random forest, decision tree and support vector machine classifiers and virtual screening of anti-mycobacterial compounds.

Madhulata Kumari, Neeraj Tiwari, Naidu Subbarao, Subhash Chandra

Int. J. Comput. Biol. Drug Des., 2017

In silico prediction and evaluation of interaction between protein arginine N-methyltransferase 5 cancer target and curcumin derivatives by molecular docking and simulation.

Madhulata Kumari, Subhash Chandra

Int. J. Comput. Biol. Drug Des., 2017

2015

In silico prediction of anti-malarial hit molecules based on machine learning methods.

Madhulata Kumari, Subhash Chandra

Int. J. Comput. Biol. Drug Des., 2015