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Computational and Structural Biotechnology Journal|April 25, 2024
RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotesUpendra Kumar Pradhan, Sanchita Naha, Ritwika Das, et al.G3 (Bethesda, Md.)|July 29, 2025
Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracyPrabina Kumar Meher, Upendra Kumar Pradhan, Mrinmoy Ray, et al.Plant Molecular Biology|September 24, 2024
PredPSP: a novel computational tool to discover pathway-specific photosynthetic proteins in plantsPrabina Kumar Meher, Upendra Kumar Pradhan, Padma Lochan Sethi, et al.3 Biotech|November 18, 2021
Improved recognition of splice sites in A. thaliana by incorporating secondary structure information into sequence-derived features: a computational studyPrabina Kumar Meher, Subhrajit SatpathyFunctional & Integrative Genomics|March 20, 2023
ASmiR: a machine learning framework for prediction of abiotic stress-specific miRNAs in plantsUpendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.Scientific Reports|December 10, 2020
Computational insights into RNAi-based therapeutics for foot and mouth disease of Bos taurusTanmaya Kumar Sahu, Anoop Kishor Singh Gurjar, Prabina Kumar Meher, et al.Biochimica Et Biophysica Acta. General Subjects|March 15, 2024
ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithmsUpendra Kumar Pradhan, Anuradha Mahapatra, Sanchita Naha, et al.Computational Biology and Chemistry|September 12, 2024
AScirRNA: A novel computational approach to discover abiotic stress-responsive circular RNAs in plant genomeUpendra Kumar Pradhan, Prasanjit Behera, Ritwika Das, et al.BMC Bioinformatics|June 25, 2021
mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic netPrabina Kumar Meher, Anil Rai, Atmakuri Ramakrishna RaoScientific Reports|September 5, 2020
miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotidesPrabina Kumar Meher, Subhrajit Satpathy, Atmakuri Ramakrishna RaoPageof 90