Results 231 to 240 of about 86,271 (244)
DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions. [PDF]
Cao C+6 more
europepmc +1 more source
The elasticity of lipid nanoparticles (LNPs) is essential to their tumor‐targeting efficacy. Softer LNPs penetrate tumors faster and more easily enter into softer cancer cells, while stiffer LNPs show prolonged retention in stiffer tumors. The presence of protumoral M2 macrophages enhances the LNPs uptake into stiffer cancer cells, facilitating ...
Eunhee Lee+5 more
wiley +1 more source
Efficient substructure feature encoding based on graph neural network blocks for drug-target interaction prediction. [PDF]
Deng G+8 more
europepmc +1 more source
Structure and Antigenicity of Kaposi's Sarcoma‐Associated Herpesvirus Glycoprotein B
Kaposi's sarcoma‐associated herpesvirus (KSHV) causes severe cancers without effective treatments. This study presents an atomic model of KSHV's critical infection protein, gB, revealing a unique structure shared with related herpesviruses like Epstein‐Barr virus (EBV). The structural similarity highlights vulnerable targets for antibodies, guiding the
Xin‐Yan Fang+8 more
wiley +1 more source
Benchmarking molecular conformer augmentation with context-enriched training: graph-based transformer versus GNN models. [PDF]
Valsecchi C+3 more
europepmc +1 more source
Arsenic trioxide transformed acute promyelocytic leukemia therapy and shows promise against HIV. A new method to solubilize the mineral realgar produces different arsenic species depleting the main arsenic target, nuclear PML protein, and retaining effects on leukemic and HIV reservoir cells, while minimizing off‐target damage.
Bojana Lucic+20 more
wiley +1 more source
From biomedical knowledge graph construction to semantic querying: a comprehensive approach. [PDF]
Wang L, Hao H, Yan X, Zhou TH, Ryu KH.
europepmc +1 more source
MAHE: a multiscale and hybrid expert-based model for image-text enhanced named entity recognition on social media. [PDF]
Yang S, Mo B, Liu D, Zhu L.
europepmc +1 more source