Suneetha Yeguvapalli

发表

In silico screening and identification of potential GSK3β inhibitors

Trinath Daggupati, R. Pamanji, Suneetha Yeguvapalli, 2018, Journal of receptor and signal transduction research.

Design, Synthesis, Neuroprotective and Antibacterial Activities of 1,2,4‐Triazolo[3,4‐b]1,3,4‐thiadiazole Linked Thieno[2,3‐d]pyrimidine Derivatives and In Silico Docking Studies

Nagaraju Kerru, Trinath Daggupati, Suneetha Yeguvapalli, 2019, ChemistrySelect.

Gene microarray expression profile analysis of differentially expressed genes of potential alternative pathways in non–small cell lung cancer: In search of biomarkers

Kranthi Kumar Konidala, Suneetha Yeguvapalli, U. Bommu, 2020 .

Ligand-based virtual screening, molecular docking, QSAR and pharmacophore analysis of quercetin-associated potential novel analogs against epidermal growth factor receptor

Uma Devi Bommu, Kranthi Kumar Konidala, Neeraja Pabbaraju, 2017, Journal of receptor and signal transduction research.

In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach

Kranthi Kumar Konidala, Suneetha Yeguvapalli, U. Bommu, 2018, 3 Biotech.

Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs

Kranthi Kumar Konidala, R. Pamanji, Suneetha Yeguvapalli, 2017, Interdisciplinary Sciences: Computational Life Sciences.

Analysis of the TP53 Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach

M. Nagarkatti, P. Nagarkatti, K. Chitrala, 2019, International journal of molecular sciences.

Computational Screening and Molecular Dynamic Simulation of Breast Cancer Associated Deleterious Non-Synonymous Single Nucleotide Polymorphisms in TP53 Gene

K. Chitrala, Suneetha Yeguvapalli, 2014, PloS one.

Computational screening, ensemble docking and pharmacophore analysis of potential gefitinib analogues against epidermal growth factor receptor

Kranthi Kumar Konidala, R. Pamanji, Suneetha Yeguvapalli, 2018, Journal of receptor and signal transduction research.

Role of Lactiplantibacillus plantarum strain RD1 (Lpb RD1) in mitochondria-mediated apoptosis: an in vitro analysis

Suneetha Yeguvapalli, Surekha Kattaru, Venkata Gurunadha Krishna Sarma Potukuchi, 2022, Archives of Microbiology.

Prediction and analysis of ligands against estrogen related receptor alpha.

K. Chitrala, Suneetha Yeguvapalli, 2013, Asian Pacific journal of cancer prevention : APJCP.

Expression, purification and biological characterisation of recombinant human irisin (12.5 kDa)

K. Panati, V. R. Narala, Suneetha Yeguvapalli, 2018, Journal, genetic engineering & biotechnology.

Ligand-based virtual screening to predict inhibitors against metastatic lymph node 64

K. Chitrala, Suneetha Yeguvapalli, 2014, Journal of receptor and signal transduction research.

Computational Prediction and Analysis of Breast Cancer Targets for 6-Methyl-1, 3, 8-Trichlorodibenzofuran

K. Chitrala, Suneetha Yeguvapalli, 2014, PloS one.

Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs

Kranthi Kumar Konidala, Suneetha Yeguvapalli, U. Bommu, 2019, Interdisciplinary Sciences: Computational Life Sciences.

Molecular screening and analysis of novel therapeutic inhibitors against c-Jun N-terminal kinase

K. Chitrala, Trinath Daggupati, Suneetha Yeguvapalli, 2017, Medicinal Chemistry Research.

QSAR modeling, pharmacophore-based virtual screening, and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor

Kranthi Kumar Konidala, Suneetha Yeguvapalli, U. Bommu, 2019, Journal of receptor and signal transduction research.