Author

Yogendra Ramtirtha

Indian Institute of Science Education and Research Pune

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:C. elegans· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Mallur Srivatsan MadhusudhaniD· 2 shared Dumbala Srinivas ReddyiD· 1 shared Joorie BhattacharyaiD· 1 shared Palakolanu Sudhakar ReddyiD· 1 shared Pooja Bhatnagar‐MathuriD· 1 shared Pradeep ReddyiD· 1 shared Rahul B. NitnavareiD· 1 shared Richa K. YeshvekariD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Mallur Srivatsan MadhusudhanORCID

Author profile →

3 papers

Recent·Most cited

A mitochondria-targeted PPR protein restores cytoplasmic male sterility by post-transcriptional modification of ORF147 in Cajanus cajanifolius

Joorie Bhattacharya, Rahul B. Nitnavare, Richa K. Yeshvekar, Dumbala Srinivas Reddy, Vidhi Sapara, Yogendra Ramtirtha, Yogendra Kalenhalli, Pradeep Reddy, Pooja Bhatnagar‐Mathur, Palakolanu Sudhakar Reddy

The paper identifies a mitochondria-targeted PPR protein that restores fertility by modifying the CMS-associated orf147 mRNA in Cajanus cajanifolius.

bioRxiv · May 17, 2024 · PreprintDevelopmental Biology

Prediction of SUMOylation targets in Drosophila melanogaster

Yogendra Ramtirtha, Mallur Srivatsan Madhusudhan

The paper predicts SUMOylation targets in Drosophila melanogaster using sequence homology from human and mouse SUMOylation data, identifying motifs, protein families, and functional preferences.

bioRxiv · Aug 19, 2022 · PreprintBioinformatics

3-D structure based prediction of SUMOylation sites

Yogendra Ramtirtha, Mallur Srivatsan Madhusudhan

The paper introduces a 3-D structure-based method to predict SUMOylation sites with 81% accuracy and a Matthews Correlation Coefficient of 0.4.

bioRxiv · Aug 19, 2022 · PreprintBioinformatics