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BMC Plant Biology|December 23, 2021
In-depth assembly of organ and development dissected Picrorhiza kurroa proteome map using mass spectrometryManglesh Kumari, Upendra Kumar Pradhan, Robin Joshi, et al.
Functional & Integrative Genomics|March 31, 2023
ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plantsUpendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Bioinformatics|November 23, 2022
PlDBPred: a novel computational model for discovery of DNA binding proteins in plantsUpendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Plos One|October 12, 2021
miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profilesUpendra Kumar Pradhan, Nitesh Kumar Sharma, Prakash Kumar, et al.
Iscience|November 29, 2021
RBPSpot: Learning on appropriate contextual information for RBP binding sites discoveryNitesh Kumar Sharma, Sagar Gupta, Ashwani Kumar, et al.
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.
Protein Science : a Publication of the Protein Society|May 15, 2024
ProkDBP: Toward more precise identification of prokaryotic DNA binding proteinsUpendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, 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.
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.
Functional & 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.
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