Results 71 to 80 of about 188,569 (212)
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
The total eclipse of bioinformatics: From disruption to convention, and a gentle warning. [PDF]
Ouzounis CA.
europepmc +1 more source
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim +8 more
wiley +1 more source
SNaQ.jl: Improved scalability for level-1 phylogenetic network inference. [PDF]
Kolbow N +5 more
europepmc +1 more source
The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang +32 more
wiley +1 more source
A Strategic Partnership to Advance AI Applications in Genomics and Bioinformatics for Health Innovation. [PDF]
Tan AC, Gamsiz Uzun ED.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
20 Years of the ISCB Student Council Symposium: shaping computational biology and future leaders. [PDF]
Fernandez-Martin M +13 more
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
A novel 'Blended Pedagogy' for integrating bioinformatics into the undergraduate medical curriculum: a pilot study on feasibility and student engagement. [PDF]
Singh RD +5 more
europepmc +1 more source

