Author

Lixiang Hong

Tsinghua UniversityORCID 0000-0002-4753-7660Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fang WaniD· 2 shared Jianyang ZengiD· 2 shared An XiaoiD· 1 shared Chengliang Hu· 1 shared Chunhao YangiD· 1 shared Dan Yang ZhaoiD· 1 shared Enming YuaniD· 1 shared Fengcai ZhuiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersSystems Biology

Fang WanORCID

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2 papers

Recent·Most cited

A data-driven drug repositioning framework discovered a potential therapeutic agent targeting COVID-19

Yiyue Ge, Tingzhong Tian, Suling Huang, Fang Wan, Jingxin Li, Shuya Li, Xiaoting Wang, Hui Mei Yang, Lixiang Hong, Nian Wu, Enming Yuan, Yunan Luo, Lili Cheng, Chengliang Hu, Yipin Lei, , Jianyang Zeng

This paper presents a data-driven drug repositioning framework that identifies CVL218, a PARP1 inhibitor, as a potential therapeutic for COVID-19 through in silico and experimental validation.

Signal Transduction and Targeted Therapy · Apr 24, 2021Peer-reviewedSystems Biology

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

Fang Wan, Lixiang Hong, An Xiao, Tao Jiang, Jianyang Zeng

NeoDTI predicts drug-target interactions by integrating heterogeneous network data, showing improved performance and novel predictions supported by prior studies.

Bioinformatics · Jun 29, 2018Peer-reviewedSystems Biology