| Enhanced biodegradation of low and high-density polyethylene by novel bacterial consortia formulated from plastic-contaminated cow dung under thermophilic conditions S Skariyachan, AS Setlur, SY Naik, AA Naik, M Usharani, KS Vasist Environmental Science and Pollution Research 24, 8443-8457, 2017 | 109 | 2017 |
| Herbal lead as ideal bioactive compounds against probable drug targets of Ebola virus in comparison with known chemical analogue: A computational drug discovery perspective AS Setlur, SY Naik, S Skariyachan Interdisciplinary Sciences: Computational Life Sciences 9, 254-277, 2017 | 67 | 2017 |
| 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 ... BMC Bioinformatics, 2022 | 10 | 2022 |
| Molecular Docking and Interaction Studies of Identified Abscisic Acid Receptors in Oryza sativa: An In-Silico Perspective on Comprehending Stress Tolerance Mechanisms VN Amulya Rao, B Janaki, Akshay Uttarkar, Anagha S Setlur, Chandrashekar K ... Current Genomics 22 (8), 607-619, 2021 | 8 | 2021 |
| Molecular interaction studies of thymol via molecular dynamic simulations and free energy calculations using multi-target approach against Aedes aegypti proteome to decipher … Anagha S. Setlur,Chandrashekar Karunakaran, Shruti Pandey, Manas Sarkar ... Molecular Simulation, 2022 | 7* | 2022 |
| Scope of repurposed drugs against the potential targets of the latest variants of SARS-CoV-2 Vidya Niranjan, Anagha Shamsundar Setlur, Chandrashekar Karunakaran, Akshay ... Structural Chemistry, 2022 | 6 | 2022 |
| MutaXome: A Novel Database for Identified Somatic Variations of In silico Analyzed Cancer Exome Datasets P Padmavathi, K Chandrashekar, Anagha S Setlur, Vidya Niranjan Cancer Informatics, 2022 | 4 | 2022 |
| A comprehensive in-silico computational analysis of twenty cancer exome datasets and identification of associated somatic variants reveals potential molecular markers for … P Padmavathi, AS Setlur, K Chandrashekar, V Niranjan Informatics in Medicine Unlocked 26, 100762, 2021 | 4 | 2021 |
| Comprehensive Molecular Interaction Studies to Construe the Repellent/Kill Activity of Geraniol During Binding Event Against Aedes aegypti Proteins Anagha S Setlur, Chandrashekar K, Shruti Pandey, Manas Sarkar, Vidya Niranjan Molecular Biotechnology, 2022 | 3* | 2022 |
| Evolution and prevalence of multidrug resistance among foodborne pathogens S Skariyachan, AS Setlur, SY Naik Foodborne Pathogens and Antibiotic Resistance, 441-463, 2016 | 2 | 2016 |
| Exploring the Role of Non-synonymous and Deleterious Variants Identified in Colorectal Cancer: A Multi-dimensional Computational Scrutiny of Exomes Karunakaran Chandrashekar, Vidya Niranjan*, Anagha S. Setlur, Dhanya Pradeep ... Current Genomics, 2024 | 1 | 2024 |
| Exploring the Synergistic Mechanism of AP2A2 Transcription Factor Inhibition via Molecular Modeling and Simulations as a Novel Computational Approach for Combating Breast … V Niranjan, AS Setlur, C K, S Kumkum, S Dasgupta, V Singh, V Desai, ... Molecular Biotechnology, 1-25, 2023 | 1 | 2023 |
| Decision support system and web-application using supervised machine learning algorithms for easy cancer classifications K Chandrashekar, AS Setlur, A Sabhapathi C, SS Raiker, S Singh, ... Cancer Informatics 22, 11769351221147244, 2023 | 1 | 2023 |
| Computational molecular perspectives on novel carbazole derivative as an anti-cancer molecule against CDK1 of breast and colorectal cancers via gene expression studies, novel … E Suvarna, AS Setlur, K Chandrashekar, M Sridharan, V Niranjan Computational Biology and Chemistry 108, 107979, 2024 | | 2024 |
| Integration of Artificial Intelligence, Machine Learning and Deep Learning Techniques in Genomics: Review on Computational Perspectives for NGS Analysis of DNA and RNA Seq Data Chandrashekar K, Vidya Niranjan, Adarsh Vishal, Anagha S Setlur Current Bioinformatics, 2024 | | 2024 |
| Deciphering the interaction mechanism of natural actives against larval proteins of Aedes aegypti to identify potential larvicides: a computational biology analysis AS Setlur, C K, R Bhattacharjee, J Kumar, V Niranjan Journal of Biomolecular Structure and Dynamics 41 (22), 12480-12502, 2023 | | 2023 |
| Graph Neural Network Framework for Web-Based Prediction of Protein-Ligand Docking Scores across multiple organs AS Setlur, V Niranjan, A Balaji, K Chandrashekar | | 2023 |
| Comprehending interaction mechanism of natural actives of Colchicum autumnale L. for rheumatoid arthritis using integrative chemoinformatic approaches S HS, G V, N TM, AS Setlur, C K, J Kumar, V Niranjan Journal of Biomolecular Structure and Dynamics, 1-20, 2023 | | 2023 |
| In-silico-based toxicity investigation of natural repellent molecules against the human proteome: A safety profile design AS Setlur, K Chandrashekar, V Panhalkar, S Sharma, M Sarkar, ... | | 2023 |
| Investigation and identification of somatic and germline variants for colorectal cancer exomes using the NGS pipeline: a computational analysis perspective K Chandrashekar, AS Setlur, V Niranjan | | 2023 |
Vidya NiranjanR V College of EngineeringVerified email at rvce.edu.in
