Results 211 to 220 of about 38,044 (266)
Impacts of fixation processing workflows on the volatile and non-volatile metabolomic profiles of Gougunao green tea. [PDF]
Zhou J +9 more
europepmc +1 more source
Periodontitis and metabolic dysfunction‐associated steatotic liver disease
Abstract Objective Periodontitis is a chronic inflammatory disease with systemic effects that extend beyond the oral cavity and contribute to systemic immune and metabolic dysregulation. Chronic liver diseases, particularly metabolic dysfunction‐associated steatotic liver disease (MASLD) and its progressive phenotypes, have emerged as major global ...
Rafael Scaf de Molon +6 more
wiley +1 more source
Molecular Modeling of Triethyl Phosphate: Extension and Validation of the TraPPE Force Field. [PDF]
Jomon G +3 more
europepmc +1 more source
Amacrine cell inputs to OFF midget ganglion cells in macaque retina
Abstract figure legend The goal of this study was to explain the findings from physiological studies that OFF midget ganglion cells had larger receptive field centers than expected from their dendritic field diameters. First, we confirmed that OFF mRGCs (OFF MGC) receive input from diffuse bipolar cells (DB) as well as OFF midget bipolar cells (FMB ...
David W. Marshak +8 more
wiley +1 more source
Clinical study on the screening of biomarkers for Crohn's disease based on blood metabolomics. [PDF]
Lin T +9 more
europepmc +1 more source
ABSTRACT Olive tree leaves are phytochemically rich yet insufficiently valorised in terms of systematic cultivar‐based characterisation and exploitation, and are an abundant olive industry side‐product. This study represents the first large‐scale metabolome mapping based on 340 leaf extracts from five major Greek cultivars (Amfissis, Koroneiki, Manaki,
Mariacaterina Lianza +5 more
wiley +1 more source
Identification of Artemisia argyi H.Lév. and Artemisia mongolica Based on GC Fingerprint and Chemometrics Analysis. [PDF]
Zhang W +5 more
europepmc +1 more source
Abstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and reduce analytical efficiency.
Shuang Xu +3 more
wiley +1 more source
Predicting Properties of Key Ingredients of Battery Solvents with Density Functional Theory and Adaptive Force Matching. [PDF]
Wei Y, Weldon R, Wang F.
europepmc +1 more source
ABSTRACT The HADDOCK team participated in CAPRI rounds 47–55 as server, manual predictor, and scorers. Throughout these CAPRI rounds, we used a plethora of computational strategies to predict the structure of protein complexes. Of the 10 targets comprising 24 interfaces, we achieved acceptable or better models for 3 targets in the human category and 1 ...
Victor Reys +16 more
wiley +1 more source

