Author

Manju Anandakrishnan

University of DelawareORCID 0009-0004-7979-476XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

Cathy H. WuiD· 2 shared Chuming CheniD· 2 shared Karen E. ROSSiD· 2 shared Adriana Ivich· 1 shared Aleksandar MilosavljeviciD· 1 shared Alex Shilin· 1 shared Allissa DillmaniD· 1 shared Andreas BueckleiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersScientific Communication & Education

Cathy H. WuORCID

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2 papers

Recent·Most cited

The Common Fund Data Ecosystem (CFDE)

Julie A. Jurgens, Andreas Bueckle, Jeet Kiran Vora, Mano Ram Maurya, Taha Mohseni Ahooyi, Erika Zheng, Benjamin J. Stear, Ding Wang, Caitlin Ree, Srinivasan Ramachandran, Anton Nekrutenko, MacKenzie Brandes, Swathi Thaker, Daniel H. Katz, Monica C. Muñoz-Torres, , Casey S. Greene

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

bioRxiv · Apr 16, 2026 · PreprintScientific Communication & Education

KSMoFinder - Knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites

Manju Anandakrishnan, Karen E. ROSS, Chuming Chen, K. Vijay‐Shanker, Cathy H. Wu

KSMoFinder predicts kinase-phosphosite relationships by integrating protein context and motif composition using a knowledge graph embedding approach, outperforming existing methods.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedBioinformatics