Author

Hailong Zhang

Virginia Tech

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

Same name, identified by ORCID

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Jingqiu LiaoiD· 2 shared Ying‐Xian GohiD· 2 shared Amy J. PrudeniD· 1 shared Arong Li· 1 shared FNU Hardeep· 1 shared Gengshu You· 1 shared Guobin LiiD· 1 shared Hongbing YangiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenomics

Jingqiu LiaoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The broad ecological range of Salmonella enterica serotype Typhimurium is associated with genomic diversification

Leela Ohri, Sandeep Chinnareddy, Ying‐Xian Goh, Hailong Zhang, Xiangyu Deng, Amy J. Pruden, Rachel Cheng, Song Li, Jingqiu Liao

This study analyzes 595 Salmonella Typhimurium genomes to show that food animal isolates have more open pangenomes and antimicrobial resistance genes, with swine isolates showing the most diversity and plasmid prevalence.

bioRxiv · Sep 15, 2026 · PreprintGenomics

Disentangling the impacts of abiotic and biotic environmental factors anddispersal dynamics on the pangenome fluidity of bacterial pathogens

Ying‐Xian Goh, FNU Hardeep, Hailong Zhang, Jingqiu Liao

This study investigates how environmental factors and dispersal dynamics influence pangenome fluidity in Listeria monocytogenes across three evolutionary lineages.

ISME Communications · Jan 1, 2026Peer-reviewedGenomics

Electron-density informed effective and reliable de novo molecular design and lead optimization with ED2Mol

Mingyu Kenneth Li, Kun Song, Mingzhu Zhao, Gengshu You, Jie Zhong, Mengxi Zhao, Arong Li, Yu Chen, Guobin Li, Ying Kong, Jiacheng Wei, Zhaofu Wang, Jiamin Zhou, Hongbing Yang, Shichao Ma, , Jian Zhang

ED2Mol improves de novo molecular design and lead optimization by incorporating electron density information, achieving high physical reliability and success rates in generating bioactive compounds.

bioRxiv · Dec 18, 2024 · PreprintBioinformatics