Results 111 to 120 of about 1,103,498 (342)
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Mechanistic role of Nrf2 modulators in lipid peroxidation: a perspective towards carcinogenesis [PDF]
The brain lipid profile is a complex and dynamic system playing a critical role in regulating various functions, including mood swings, perception, and emotional behavior. Explicitly, the enrichment of polyunsaturated fatty acids (PUFAs) in the brain and
Anju Singh +3 more
doaj +1 more source
The principles of isolation, purification and analysis of nucleic acids [PDF]
Advanced Biotechnological research is largely depended on the genome analysis and recombinant DNA technology. Good quality nucleic acid is an essential prerequisite for consistent results in most of the down stream applications in the genome analysis ...
Paulton, M P, Thomas, P C
core
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
The budding yeast genome contains regions where meiotic recombination initiates more frequently than in others. This pattern parallels enrichment for the meiotic chromosome axis proteins Hop1 and Red1.
Darpan Medhi +2 more
doaj +1 more source
Performance of the MagNA Pure 96 System for Cytomegalovirus Nucleic Acid Amplification Testing in Clinical Samples [PDF]
Anke Edelmann +4 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Controlled enzymatic synthesis of oligonucleotides
Oligonucleotides are advancing as essential materials for the development of new therapeutics, artificial genes, or in storage of information applications. Hitherto, our capacity to write (i.e., synthesize) oligonucleotides is not as efficient as that to
Maëva Pichon, Marcel Hollenstein
doaj +1 more source
Advances in β-Thalassemia Gene Therapy: CRISPR/Cas Systems and Delivery Innovations
β-thalassemia is an inherited blood disorder caused by mutations in the β-globin (HBB) gene, leading to reduced or absent β-globin production, resulting in chronic anemia.
Hongmei Liu, Peng Zhang
doaj +1 more source
Sensitivity and specificity of a new automated system for the detection of hepatitis B virus, hepatitis C virus, and human immunodeficiency virus nucleic acid in blood and plasma donations [PDF]
Susan A. Galel +11 more
openalex +1 more source

