Graph Neural Networks Model Based on Atomic Hybridization for Predicting Drug Targets. [PDF]
Mohamed A, Galal N, Brooks BR, Amin M.
europepmc +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
MLGT: A multimodal graph attention network for virtual screening of anti-Uveitis drugs. [PDF]
Sun Y, Qin Y, Chen W.
europepmc +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Comparative Evaluation of Deep Learning Graph Neural Networks and Classical Machine Learning Models for Predicting Heats of Combustion as a Key Hazard Indicator under GHS/CLP Standards. [PDF]
Nnyigide OS, Byeon H, Okpete UE.
europepmc +1 more source
Improving Molecular Property Prediction with Degree-Bounded Graph Neural Networks
Ramezani, Sajad
openalex +1 more source
Cardiac‐Derived ECM Microspheres for Enhanced hiPSC‐CMs Maturation
Cardiac extracellular matrix microspheres derived from decellularized porcine heart provide a biomimetic 3D microenvironment for human induced pluripotent stem cell–derived cardiomyocytes (hiPSC‐CMs). This platform supports short‐ and long‐term culture, enhances structural organization, and promotes electrophysiological and functional maturation of ...
Jiazhu Xu +9 more
wiley +1 more source
A Contrastive-Learning-Based Pre-Training Framework for Optical Property Prediction of Low-Data Rhodamines with Interpretable Multitask Graph Neural Networks. [PDF]
Qiu J, Wu Y, Zhang H, Li M, Pu X, Guo Y.
europepmc +1 more source

