Author

Xiang‐Jun Lu

Columbia UniversityORCID 0000-0002-8901-7444Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

Frequent Co-Authors

Christ LeemansiD· 1 shared Gino CingolaniiD· 1 shared Harmen J. BussemakeriD· 1 shared Kim A. SharpiD· 1 shared Lucas A. N. MeloiD· 1 shared Pilar Gomez-Alcala· 1 shared Richard S. ManniD· 1 shared Shaoxun LiuiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Christ LeemansORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Structural Pockets and Interacting RNA-Associated Ligands (SPIRAL): A DSSR-enabled Meta-Analysis of RNA-Small Molecule Recognition

Xiang‐Jun Lu, Yaqiang Wang

SPIRAL curates RNA-small molecule structures and identifies binding modes and predictors of affinity, aiding RNA-targeted therapeutic design.

bioRxiv · Jun 23, 2026 · PreprintBioinformatics

Predicting the DNA binding specificity of transcription factor mutants usingfamily-level biophysically interpretable machine learning

Shaoxun Liu, Pilar Gomez-Alcala, Christ Leemans, William J. Glassford, Lucas A. N. Melo, Xiang‐Jun Lu, Richard S. Mann, Harmen J. Bussemaker

The paper develops a method to predict how mutations in transcription factors affect their DNA binding specificity using biophysically interpretable machine learning.

Nucleic Acids Research · Aug 8, 2025Peer-reviewedGenomics

Simulations and Electrostatic Analysis Suggest an Active Role for DNA Conformational Changes During Genome Packaging by Bacteriophages

Kim A. Sharp, Xiang-Jun Lu, Gino Cingolani, Stephen C. Harvey

The paper uses computational simulations to show DNA conformational changes driven by electrostatic potential shifts in bacteriophage packaging motors, linking ATP hydrolysis to DNA translocation.

bioRxiv · Mar 30, 2018 · PreprintBiophysics