Vidya Niranjan

According to our database, Vidya Niranjan authored at least 10 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A comparative insight into peptide folding with quantum CVaR-VQE algorithm, MD simulations and structural alphabet analysis.

Akshay Uttarkar, Vidya Niranjan

Quantum Inf. Process., February, 2024

Computational molecular perspectives on novel carbazole derivative as an anti-cancer molecule against CDK1 of breast and colorectal cancers via gene expression studies, novel two-way docking strategies, molecular mechanics and dynamics.

Eashita Suvarna, Anagha S. Setlur, Chandrashekar K, Sridharan M, Vidya Niranjan

Comput. Biol. Chem., February, 2024

2023

Carboxymuconolactone decarboxylase is a prospective molecular target for multi-drug resistant <i>Acinetobacter baumannii-</i>computational modeling, molecular docking and dynamic simulation studies.

Shraddha Rana, Sinosh Skariyachan, Akshay Uttarkar, Vidya Niranjan

Comput. Biol. Medicine, May, 2023

2022

Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers.

Abdu Rehaman Pasha Syed, Rahul Anbalagan, Anagha S. Setlur, Chandrashekar Karunakaran, Jyoti Shetty, Jitendra Kumar, Vidya Niranjan

BMC Bioinform., 2022

2021

Structural insights on the interaction potential of natural leads against major protein targets of SARS-CoV-2: Molecular modelling, docking and dynamic simulation studies.

Sinosh Skariyachan, Dharshini Gopal, Aditi G. Muddebihalkar, Akshay Uttarkar, Vidya Niranjan

Comput. Biol. Medicine, 2021

2020

Structural and molecular basis of the interaction mechanism of selected drugs towards multiple targets of SARS-CoV-2 by molecular docking and dynamic simulation studies- deciphering the scope of repurposed drugs.

Sinosh Skariyachan, Dharshini Gopal, Shweta Chakrabarti, Priya Kempanna, Akshay Uttarkar, Aditi G. Muddebihalkar, Vidya Niranjan

Comput. Biol. Medicine, 2020

2013

Discovering novel carriers for oral insulin tablets: a pharmacoinformatics approach.

R. Seenivasagam, K. Hemavathi, G. Sivakumar, Vidya Niranjan

Int. J. Bioinform. Res. Appl., 2013

2011

Prediction of disease causing gene in Xq22.1 region of human X-chromosome.

Vidya Niranjan, Riaz Ahmed, R. Seenivasagam, G. Sivakumar

Int. J. Bioinform. Res. Appl., 2011

2010

A systematic bioinformatics approach for selection of target and screening of ligand for malignant tumours suppressing APG4A gene on Xq22.1.

Vidya Niranjan, R. Seenivasagam, G. Sivakumar

Int. J. Comput. Biol. Drug Des., 2010

2004

Human protein reference database as a discovery resource for proteomics.

Suraj Peri, J. Daniel Navarro, Troels Z. Kristiansen, Ramars Amanchy, Vineeth Surendranath, Babylakshmi Muthusamy, T. K. B. Gandhi, K. N. Chandrika, Nandan Deshpande, Shubha Suresh, B. P. Rashmi, K. Shanker, N. Padma, Vidya Niranjan, H. C. Harsha, Naveen Talreja, B. M. Vrushabendra, M. A. Ramya, A. J. Yatish, Mary Joy, H. N. Shivashankar, M. P. Kavitha, Minal Menezes, Dipanwita Roy Chowdhury, Neelanjana Ghosh, R. Saravana, Sreenath Chandran, S. Sujatha Mohan, Chandra Kiran Jonnalagadda, C. K. Prasad, Chandan Kumar-Sinha, Krishna S. Deshpande, Akhilesh Pandey

Nucleic Acids Res., 2004