Naidu Subbarao

Orcid: 0000-0002-1720-2165

According to our database1, Naidu Subbarao authored at least 12 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
A new fuzzy support vector machine with pinball loss.
Discov. Artif. Intell., 2023

2022
Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis.
J. Integr. Bioinform., 2022

In silico identification and in vitro antiviral validation of potential inhibitors against Chikungunya virus.
J. Comput. Aided Mol. Des., 2022

Computational molecular interaction between SARS-CoV-2 main protease and theaflavin digallate using free energy perturbation and molecular dynamics.
Comput. Biol. Medicine, 2022

2021
Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.
Comput. Biol. Medicine, 2021

2020
Using SMOTE to Deal with Class-Imbalance Problem in Bioactivity Data to Predict mTOR Inhibitors.
SN Comput. Sci., 2020

2018
A genetic programming-based approach and machine learning approaches to the classification of multiclass anti-malarial datasets.
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.
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.
Int. J. Comput. Biol. Drug Des., 2017

2009
Identification of novel target sites and an inhibitor of the dengue virus E protein.
J. Comput. Aided Mol. Des., 2009

2008
Molecular modeling on pyruvate phosphate dikinase of <i>Entamoeba histolytica</i> and in silico virtual screening for novel inhibitors.
J. Comput. Aided Mol. Des., 2008


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