Results 171 to 180 of about 4,204,588 (241)
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Combining HDX‐MS and NMR enables the mapping of epitopes and paratopes in full‐length antibody complexes, revealing transient interactions and potential artifacts. ABSTRACT Recombinant biomacromolecules have significantly transformed pharmaceuticals, in particular monoclonal antibodies (mAbs) that target key areas in oncology, immunology, inflammation,
Francesca Sacco +13 more
wiley +2 more sources
Clinical MAPPs: a personalized healthcare-driven assay for the direct identification of potential T cell epitopes in patients. [PDF]
Hartman K +10 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Shewanella oneidensis and Bacillus subtilis, both harboring prophages, reveal a novel biosynthetic route to scalable and programmable DNA superstructures in flower‐ and wire‐like shapes, respectively. Activation of prophages is achieved via 3‐hour starvation and monitored using reporter strains.
Gabriel Antonio S. Minero +7 more
wiley +2 more sources
RSV prophylactics for pediatric populations: A product review and meta-analysis of real-world effectiveness. [PDF]
Oliva IO, Oliveira CR.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
We present a foldamer strategy to downsize the histone H3‐H4 quaternary structure into high‐affinity, medium‐sized binders (∼2 kDa) for the histone chaperone ASF1. Our peptide‐oligourea chimeras, designed through structure‐guided optimization and foldamer chemistry, recapitulate the natural H3‐H4 dimer binding mode while demonstrating plasma stability ...
Bo Li +15 more
wiley +2 more sources
Effect of ADCC-enhancing mutations on N-glycan profiles of human IgG1 antibodies. [PDF]
Han L, Jiang H, Chiu ML.
europepmc +1 more source
Evaluating the degradation of absorbable medical devices in vitro demands physiologically relevant conditions. This study presents a comprehensive framework applied to a three‐layered silk fibroin/polyurethane arteriovenous graft, employing human enzymes at physiological concentrations over 6 months. Multiparametric analyses of both graft structure and
Cristina Oldani +5 more
wiley +1 more source

