Author

Naomi H. Philip

ORCID 0000-0002-1475-8635Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Ayan ChatterjeeiD· 1 shared Babak RavandiiD· 1 shared Juan Carlos MobareciD· 1 shared Mario AbdelmessihiD· 1 shared Parham HaddadiiD· 1 shared Piero RicchiutoiD· 1 shared Tina Eliassi‐RadiD· 1 shared Wei DingiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ayan ChatterjeeORCID

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1 paper

Recent·Most cited

Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction

Ayan Chatterjee, Babak Ravandi, Parham Haddadi, Naomi H. Philip, Mario Abdelmessih, William R. Mowrey, Piero Ricchiuto, Yupu Liang, Wei Ding, Juan Carlos Mobarec, Tina Eliassi‐Rad

This paper introduces a method to improve protein-protein interaction prediction by using topology-driven negative sampling and an ML pipeline that enhances generalizability and interpretability.

Bioinformatics · Apr 7, 2025Peer-reviewedBioinformatics