Results 231 to 240 of about 536,771 (324)
Multi-marker GWAS and variant-specific genomic prediction for growth traits in Pacific white shrimp. [PDF]
Lv T +18 more
europepmc +1 more source
Machine learning for genomic and pedigree prediction in sugarcane [PDF]
Minoru Inamori +7 more
openalex +1 more source
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Improving genomic prediction for plant disease using environmental covariates. [PDF]
Brault C +8 more
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Genomic prediction in a small barley population can benefit from training on related populations. [PDF]
Skovbjerg CK +8 more
europepmc +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes: The Genetic Latent Factor Approach. [PDF]
Melsen KAC +6 more
europepmc +1 more source
Enhancing Genomic Prediction Accuracy with a Single-Step Genomic Best Linear Unbiased Prediction Model Integrating Genome-Wide Association Study Results [PDF]
Zhixu Pang +10 more
openalex +1 more source
This work presents a “tooth‐on‐chip” device that mimics dental pulp tissue. By co‐culturing key cell types, it recreates vascular networks, stem cell niches, the odontoblast/dentine interface, and trigeminal innervation. This innovative platform provides a unique model of dental pulp structure and physiology, with significant potential for accelerating
Alessandro Cordiale +6 more
wiley +1 more source

