This new article publication from Acta Pharmaceutica Sinica B, discusses how palmitoylation of Tfr1 enhances platelet ferroptosis and liver injury in heat stroke.

This new article publication from Acta Pharmaceutica Sinica B, discusses therapeutic drug monitoring of biologics in inflammatory bowel disease.

Ultra-thin crystalline silicon is an exciting material for next-generation bioelectronics, transforming rigid silicon into ...

This new article publication from Acta Pharmaceutica Sinica B, discusses the construction of a localized immune niche via supramolecular hydrogel vaccine to elicit durable and enhanced immunity ...

This new article publication from Acta Pharmaceutica Sinica B, discusses how an innovative and stable mRNA-LNP microneedle vaccine elicits humoral and multifunctional cellular immune responses.

This new article publication from Acta Pharmaceutica Sinica B, discusses the deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for ...

This new article publication from Acta Pharmaceutica Sinica B, discusses how structure-guided design of picomolar-level macrocyclic TRPC5 channel inhibitors with antidepressant activity.

This new article publication from Acta Pharmaceutica Sinica B, discusses DHL-11, a novel prieurianin-type limonoid isolated from Munronia henryi, targeting IMPDH2 to inhibit triple-negative breast ...

This new article publication from Acta Pharmaceutica Sinica B, discusses how neg-entropy is the true drug target for chronic diseases.

Late-Breaking Science Abstract LB 032 - In a phase III clinical trial in China, stroke patients treated intravenously with loberamisal, a novel neuroprotective medication, daily for 10 days starting ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...