Comparative evaluation of SNP-weighted, Bayesian, and machine learning models for genomic prediction in Holstein cattle. [PDF]
Zheng W +5 more
europepmc +1 more source
Recombinant Proteins: A Molecular Tool to Understand Marine Adhesion and to Advance Biomaterials
The production of recombinant proteins represents a fundamental step in the characterisation of marine invertebrate adhesives and in the development of bio‐inspired glues. The association of these proteins with other components such as ions, proteins, polysaccharides, or polymers enables the fabrication of biomaterials for various healthcare ...
Alessandra Whaite +4 more
wiley +1 more source
QTL detection and genomic prediction for resistance to anthracnose in alfalfa (Medicago sativa). [PDF]
Pégard M +7 more
europepmc +1 more source
Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology
In vitro breast cancer models that closely mimic the complex biological and cellular interactions within the tumor microenvironment hold strong promise for enhancing our understanding of tumor progression, immune system behavior, and resistance to therapies, which are essential for developing personalized cancer treatments. Abstract Engineered in vitro
Wonwoo Jeong, Sang Jin Lee
wiley +1 more source
Optimizing genomic prediction with transfer learning under a ridge regression framework. [PDF]
Montesinos-López OA +8 more
europepmc +1 more source
Harnessing Next‐Generation 3D Cancer Models to Elucidate Tumor‐Microbiome Crosstalk
Centralizes the microbiome within 3D tumor‐microbiome model platforms, including spheroids, organoids, 3D‐bioprinted constructs, and microfluidic chips, each enabling structured host‐tumor‐microbe studies. These systems support bacterial colonization, facilitating investigation of microbial impacts on tumor growth, immunity, and therapy. The microbiome
Marina Green Buzhor +12 more
wiley +1 more source
MDNN: memetic deep neural network for genomic prediction. [PDF]
Mao Y +9 more
europepmc +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar +3 more
wiley +1 more source
Genomic prediction for additive and dominance effects of censored traits in pigs
Vinícius Silva dos Santos +6 more
openalex +1 more source
Gradients of Aliveness and Engineering: A Taxonomy of Fungal Engineered Living Materials
This paper explores the potential of fungal engineered living materials (ELMs), examining fungal biology and growth mechanisms, which underpin their development. It presents a classification framework based on aliveness, scaffold composition, and engineering degree. Unique properties such as self‐healing, biosensing, and bioremediation are highlighted,
Elise Elsacker +5 more
wiley +1 more source

