INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
QSPR analysis of anticancer drugs using the Euler-Sombor index and theoretical insights on its minimum value for unicyclic graphs. [PDF]
Shetty S, Rakshith BR, Udupa NVS.
europepmc +1 more source
Endogenous Engineering Reprograms Extracellular Vesicles for Enhanced Therapeutic Function
This review explains how Extracellular vesicles‐producing cells can be endogenously engineered to load therapeutic proteins and nucleic acids. We summarize physiological and genetic strategies that harness native sorting pathways for selective cargo loading.
Jinghui Wang +10 more
wiley +1 more source
Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges. [PDF]
Medina H, Drake R.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Systematic discovery of bacterial anti-phage systems through a protein domain-centric strategy. [PDF]
Liu Y +9 more
europepmc +1 more source
ABSTRACT The human body functions as a natural reactor for a vast network of chemical and biological reactions and physical interactions among small molecules, proteins, cells, and numerous other components. These reactions/interactions are essential for maintaining normal physiological functions.
Yuhao Cai, Chao Zhao
wiley +1 more source
Identification of novel CRESS-DNA viruses in the human vaginal microbiome. [PDF]
Dai Z +9 more
europepmc +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Comparison of Protein-Glycosaminoglycan Interactions in ff14sb/GLYCAM06j-1 and CHARMM36m Force Fields. [PDF]
Bojarski KK +9 more
europepmc +1 more source

