Author

Haojin Zhou

Xi’an Jiaotong-Liverpool University

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

Biology Disciplines

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Bioinformatics· 2 Pharmacology & Toxicology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:mechanistic / dynamical model· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:protein structure· 1

Frequent Co-Authors

Jiaqi WangiD· 3 shared Ankeer Abuduhebaier· 1 shared Huapeng LiuiD· 1 shared Jiaqi WangiD· 1 shared Meiru Yan· 1 shared Meng Zhao· 1 shared Min Hua XuiD· 1 shared Shujia Liu· 1 shared

Activity by Year

2025-2025 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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3 shared papersPharmacology & Toxicology

Jiaqi WangORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

In Silico Screening of Peptide Inhibitors of PHLDA1-Encoded Protein Targeting Cardiovascular Diseases

Shujia Liu, Haojin Zhou, Meng Zhao, Jiaqi Wang

This study identifies dipeptide inhibitors of PHLDA1-encoded protein using computational methods and highlights the role of intrinsic disorder in binding.

bioRxiv · Jul 3, 2025 · PreprintPharmacology & Toxicology

Computational Design of Next-Gen Peptide Biopesticides: Targeting the Nicotinic Acetylcholine Receptor in Rice Pests

Xinyuan Chen, Haojin Zhou, Xueqing He, Jiaqi Wang

This paper designs peptide biopesticides targeting rice pests by using computational methods to map dynamic binding sites on the nAChR-3 receptor.

bioRxiv · Jun 25, 2025 · PreprintPlant Biology

Harnessing Uniform Design to Enhance AI-Driven Predictions of Physicochemical Properties of Short Peptides

Zhihui Zhu, Huapeng Liu, Yongfu Guo, Min Hua Xu, Xuechen Li, Haojin Zhou, Jiaqi Wang

This paper uses uniform design with AI to predict physicochemical properties of short peptides, identifying key factors affecting aggregation and providing predictive models and datasets.

bioRxiv · Mar 10, 2025 · PreprintBioinformatics

How Does Sampling Affect the AI Prediction Accuracy of Peptides' Physicochemical Properties?

Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang

This study evaluates how sample size and sampling methods affect AI prediction accuracy for tetrapeptide physicochemical properties, finding that 12,000 samples provide stable model performance.

bioRxiv · Jan 29, 2025 · PreprintBioinformatics