Results 131 to 140 of about 436,973 (328)
Chemical Approaches for Array Based Detection of Amyloids
Amyloids are protein aggregates with both pathological and functional roles. Their detection is challenged by structural polymorphism, isoform diversity, and dynamic aggregation behavior. This review presents chemical array‐based sensing strategies that address these complexities, emphasizing fluorescence and colorimetric methods, alongside ...
Paulo M. Simon, Yijia Xu, Amandeep Kaur
wiley +1 more source
Ueber die Constitution der Indolgruppe im Eiweiss. III. Mittheilung: Oxydation des Tryptophans zu β‐ Indolaldehyd [PDF]
Alexander Ellinger
openalex +1 more source
Green tea polyphenols, conjugated either covalently or non‐covalently to hemp protein, comprise an excellent stabilizing matrix for oxidatively‐sensitive small molecules. These nanoemulsions are highly stable to a variety of chemical and physical stressors, protecting the small molecule while allowing for easy uptake across cell membranes and rapid ...
William Charles Hosie +9 more
wiley +1 more source
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian +26 more
wiley +1 more source
Circardian rhythm disorder (CRD) causes abnormal expression of intestinal Period 2 (Per2) gene, which compromising intestinal barrier integrity and altering the gut microenvironment. Microbiota dysbiosis and aberrant metabolites production drive central inflammation, impair neurogenesis, and promote functional deficits, ultimately facilitating the ...
Huiliang Zhang +16 more
wiley +1 more source
LYSINE, METHIONINE AND TRYPTOPHAN CONTENT OF MICROORGANISMS I.
R. F. Anderson +5 more
openalex +1 more source
Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang +32 more
wiley +1 more source
ON THE EMISSION OF TRYPTOPHAN [PDF]
Irvin Isenberg, Albert Szent-Györgyi
openaire +3 more sources

