Hailin Zhang

Oct 7, 2024 | onlinelibrary.wiley.com | Jia Li |Hailin Zhang |Jiamin Wang |Mei Deng

Construction and Validation of GENET The relation triples extracted by the automatic literature analysis model were deduplicated, standardized, and aggregated to create a visual knowledge graph using the AntV G6 framework. In this graph, nodes represent entities, and edges represent the relationships between these entities.

Sep 25, 2024 | nejm.org | Hailin Zhang |Hua Zhang

Published September 25, 2024N Engl J Med 2024;391:1096-1107DOI: 10.1056/NEJMoa2313551 For permission requests, please contact NEJM Reprints at [email protected] NotesA data sharing statement provided by the authors is available with the full text of this article at NEJM.org. Supported by Shanghai Ark Biopharmaceutical. Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

Sep 25, 2024 | nejm.org | Hailin Zhang |Hua Zhang

Published September 25, 2024N Engl J Med 2024;391:1096-1107DOI: 10.1056/NEJMoa2313551 For permission requests, please contact NEJM Reprints at [email protected] NotesA data sharing statement provided by the authors is available with the full text of this article at NEJM.org. Supported by Shanghai Ark Biopharmaceutical. Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

Mar 10, 2024 | nature.com | Hailin Zhang

AbstractDeep learning-based molecular generation has extensive applications in many fields, particularly drug discovery. However, the majority of current deep generative models are ligand-based and do not consider chemical knowledge in the molecular generation process, often resulting in a relatively low success rate.

Jan 5, 2024 | biorxiv.org | Hailin Zhang |Wenling Li |Xiaona Du |Najing Zhou

AbstractEpilepsy affects millions globally, and drug-resistant epilepsy remains a challenge. Molecular mechanisms underlying epilepsy remain elusive. Protein profiling through proteomics offers insight into biomarkers and therapeutic targets. Human brain tissue from epilepsy surgeries was analyzed using data-independent acquisition (DIA) proteomics. Samples were categorized into Core (epileptogenic focus), Border (marginal excision tissue), and Nonepileptic control groups.