Results 301 to 310 of about 1,317,993 (392)

Ethnomedicinal Uses, Phytochemistry, Pharmacological Activities, and Toxicology of the Subfamily Gomphrenoideae (Amaranthaceae): A Comprehensive Review

open access: yesChemistry &Biodiversity, EarlyView.
ABSTRACT The subfamily Gomphrenoideae is composed of about 480 accepted species, many of which have been historically used as medicinal plants, reason why they have been studied in terms of chemical profile, biological activity, and safety. This review consolidates the advances in research on this subfamily over the past 47 years, emphasizing its ...
Dayanna Isabel Araque Gelves   +3 more
wiley   +1 more source

Beyond FimH: Diversity and Relevance of Carbohydrate‐Binding Fimbrial Proteins in Escherichia coli

open access: yesChemBioChem, EarlyView.
This review discusses fimbrial lectins found in Escherichia coli (E. coli) other than FimH, which could be targeted to treat E. coli pathogenicity as an alternative to antibiotic treatment. Escherichia coli (E. coli) is responsible for multiple diseases in humans and animals.
Oliwier R. Dulawa   +3 more
wiley   +1 more source

A Poly (β‐Amino Esters)‐Based Multicomponent Nanoparticle for Efficient mRNA Delivery to Acute Myeloid Leukemia Cells

open access: yesChemistryEurope, EarlyView.
A structurally engineered nonviral vector (poly (β‐amino esters)‐lipid‐palmitic anhydride nanoparticles) integrates a poly(β‐amino ester) core for mRNA binding, palmitic anhydride for enhancing cellular uptake, and cationic 1,2‐Dioleoyl‐3‐trimethylammonium‐propane lipid for endosomal disruption is developed, which achieves 64.4% transfection efficiency
Zheng Wang   +8 more
wiley   +1 more source

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

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