Author

Justin Z. Tam

Lehigh UniversityORCID 0000-0003-3280-7397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Brian Yuan CheniD· 2 shared Grant A. ArmstrongiD· 1 shared Yangying LiuiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Brian Yuan ChenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 26, 2023

MechPPI: Binding Mechanism-based Machine-Learning tool for Predicting Protein-Protein Binding Affinity Changes Upon Mutations

Yangying Liu, Grant A. Armstrong, Justin Z. Tam, Brian Yuan Chen

MechPPI predicts protein-protein binding affinity changes due to mutations by using mechanism-based features, showing accuracy in single mutation analysis.

2 citations

protein sequencemachine learning (classical)

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BioinformaticsbioRxivPreprintOct 16, 2023

A Bond-Anchored Network Structure Alignment (BANSA) Method for Graphical Analysis of Protein-Protein Interfacial Regions

Justin Z. Tam, Brian Yuan Chen

The paper introduces BANSA, a method to align bond networks from protein-protein interactions using bond formation as anchors, validated through heatmap analysis and comparison with existing literature.

DOI 10.1101/2023.10.16.562551

protein structurestatistical model

𝕏 PostBluesky