Results 191 to 200 of about 85,851 (265)
Predicting protein-nucleic acid flexibility using persistent sheaf Laplacians.
Hayes N, Merkurjev E, Wei GW.
europepmc +1 more source
Direct Arylation of 1,10-Phenanthroline Using an Organomagnesium Reagent. [PDF]
Hirscher NA +4 more
europepmc +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
A Review of Topological Data Analysis and Topological Deep Learning in Molecular Sciences. [PDF]
Wee J, Jiang J.
europepmc +1 more source
Decoding Trap States in Working 2D Perovskite Multi‐Functional Devices
Illustration of the photoluminescence spectrum and energy‐level landscape governing trap‐mediated carrier dynamics in 2D F‐PEAI photodetectors. A novel approach capturing dynamic trap occupation and retrapping in devices under operating conditions, directly links defect energetics to carrier transport and enhanced photoresponse in multifunctional ...
Ioannis Leontis +8 more
wiley +1 more source
Improved predictive formulae for wave overtopping at sloped breakwaters using interpretable machine learning models. [PDF]
Habib MA +3 more
europepmc +1 more source
Nanozymes Integrated Biochips Toward Smart Detection System
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source
Persistent Topological Laplacians-A Survey. [PDF]
Wei X, Wei GW.
europepmc +1 more source
Quantitative Stain Mapping in X‐Ray Virtual Histology
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John +16 more
wiley +1 more source

