Author

Xin Hu

National Institutes of HealthORCID 0000-0003-1164-5130Unclaimed ORCID profile · follow to get notified of new preprints

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Xin Hu2 papers · Huazhong Agricultural University

Biology Disciplines

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Bioinformatics· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Organism:human· 2 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Matthew D. HalliD· 3 shared Anton M. SimeonoviD· 2 shared Catherine Z. CheniD· 2 shared Miao XuiD· 2 shared Paul ShinniD· 2 shared Zina ItkiniD· 2 shared Alex RenniD· 1 shared Alexey Zakharov· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Matthew D. HallORCID

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3 papers

Recent·Most cited

BioinformaticsACS Pharmacology & Translational SciencePeer-reviewedJul 22, 2024

A Comprehensive Collection of Pain and Opioid Use Disorder Compounds for High-Throughput Screening and Artificial Intelligence-Driven Drug Discovery

Xin Hu, Paul Shinn, Zina Itkin…·Matthew D. Hall

The paper creates a comprehensive small molecule library for pain and opioid use disorder with physical samples and an AI-driven platform for drug discovery.

3 citations

machine learning (classical)experimental assay

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Synthetic BiologyPLoS ONEPeer-reviewedAug 10, 2022

A humanized nanobody phage display library yields potent binders of SARS CoV-2 spike

Ying Fu, Juliana da Fonseca Rezende e Mello, Bryan D. Fleming…·Anton M. Simeonov

This paper develops potent humanized nanobodies against SARS-CoV-2 spike protein, showing effectiveness against the Alpha variant and providing structural insights into their neutralization mechanism.

15 citations

humanproteomics

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BioinformaticsbioRxivPreprintDec 28, 2020

Discovery of TMPRSS2 inhibitors from virtual screening

Xin Hu, Jonathan H. Shrimp, Hui Guo…·Min Shen

This study identifies novel TMPRSS2 inhibitors through virtual screening and experimental validation, offering potential drug candidates for COVID-19 treatment.

9 citations

humanstatistical model

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