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Uma Devi Bommu

Observed names: B. Uma Devi, Bommu, Uma Devi, Bommu, Umadevi, Umadevi Bommu
ORCID: 0000-0002-4618-0524
Observed ORCID: 0000-0002-4618-0524
OpenAlex ID: A5011788442
Computational screening, ensemble docking and pharmacophore analysis of potential gefitinib analogues against epidermal growth factor receptor
2018 · Uma Devi Bommu, Kranthi Kumar Konidala, et al. · Journal of Receptors and Signal Transduction · 18
Integration of in silico approaches to determination of endocrine-disrupting perfluorinated chemicals binding potency with steroidogenic acute regulatory protein
2017 · K. Kranthi Kumar, B. Uma Devi, et al. · Biochemical and Biophysical Research Communications · 18
QSAR modeling, pharmacophore-based virtual screening, and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor
2019 · Uma Devi Bommu, Kranthi Kumar Konidala, et al. · Journal of Receptors and Signal Transduction · 16
Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor
2017 · Uma Devi Bommu, Kranthi Kumar Konidala, et al. · Journal of Receptors and Signal Transduction · 15
Elucidation of endocrine−disrupting polychlorinated biphenyls binding potency with steroidogenic genes: Integration of in silico methods and ensemble docking approaches
2018 · K. Kranthi Kumar, B. Uma Devi, et al. · Ecotoxicology and Environmental Safety · 13
Molecular activities and ligand-binding specificities of StAR-related lipid transfer domains: exploring integrated in silico methods and ensemble-docking approaches
2018 · K. Kranthi Kumar, B. Uma Devi, et al. · SAR and QSAR in environmental research · 13
Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs
2017 · Uma Devi Bommu, Kranthi Kumar Konidala, et al. · Interdisciplinary Sciences Computational Life Sciences · 13
Integration of in silico methods to determine endocrine-disrupting tobacco pollutants binding potency with steroidogenic genes: comprehensive QSAR modeling and ensemble docking strategies
2022 · Kranthi Kumar Konidala, Umadevi Bommu, et al. · Environmental Science and Pollution Research · 12
Applications of in silico methods to analyze the toxicity and estrogen receptor-mediated properties of plant-derived phytochemicals
2019 · K. Kranthi Kumar, P. Yugandhar, et al. · Food and Chemical Toxicology · 9
In silico insights into the identification of potential novel angiogenic inhibitors against human VEGFR-2: a new SAR-based hierarchical clustering approach
2018 · Kranthi Kumar Konidala, Uma Devi Bommu, et al. · Journal of Receptors and Signal Transduction · 8
In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach
2018 · Kranthi Kumar Konidala, Uma Devi Bommu, et al. · 3 Biotech · 7
Computational design and evaluation of low-toxicity saquinavir analogues targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis
2025 · Kranthi Kumar Konidala, Umadevi Bommu, et al. · Drug and Chemical Toxicology · 2
Discovery of novel inhibitor N3 scaffolds targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: Insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis
2025 · Kranthi Kumar Konidala, Umadevi Bommu, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 1
Gene microarray expression profile analysis of differentially expressed genes of potential alternative pathways in non–small cell lung cancer: In search of biomarkers
2020 · Umadevi Bommu, Kranthi Kumar Konidala, et al. · Gene Reports · 1
Role and significance of p53 insights into breast cancer progression and therapeutic strategies: A review
2020 · Umadevi Bommu, Suneetha Yeguvapalli · Journal of Innovations in Pharmaceutical and Biological Sciences
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Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor
2017 · Bommu, Uma Devi, Kranthi Kumar Konidala, et al. · Figshare
Works count: 17
Citation count: 146
H-index: 9
I10-index: 8
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