Download full-text PDF

Source
http://dx.doi.org/10.2174/092986732701200218105652DOI Listing

Publication Analysis

Top Keywords

molecular modeling
4
modeling chemical-biological
4
chemical-biological structure
4
structure pharmaco-medical
4
pharmaco-medical activity
4
activity function
4
molecular
1
chemical-biological
1
structure
1
pharmaco-medical
1

Similar Publications

Due to compositional differences, the mouthfeel of non-alcoholic beers (NABs) is considered inferior to that of alcoholic beers (ABs). Carbonation properties are a key sensation regarding mouthfeel. This study quantified the amount of bubbles in ABs (n = 10) and NABs (n = 9), ranging from 3.

View Article and Find Full Text PDF

Background: The Veterans Aging Cohort Study (VACS) Index is a summary measure of routinely obtained clinical variables that predicts numerous health outcomes. Since there are currently no tools to predict acute kidney injury (AKI) in persons with HIV (PWH), we investigated the association of preadmission VACS Index with hospital AKI in PWH.

Methods: We conducted an observational study of PWH hospitalized in a New York City health system between 2010-2019.

View Article and Find Full Text PDF

Retinal pigment epithelium (RPE) atrophy is a significant cause of human blindness worldwide, occurring in polygenic diseases such as age-related macular degeneration (AMD) and monogenic diseases such as Stargardt diseases (STGD1) and late-onset retinal degeneration (L-ORD). The patient-induced pluripotent stem cells (iPSCs)-derived RPE (iRPE) model exhibits many advantages in understanding the cellular basis of pathological mechanisms of RPE atrophy. The iRPE model is based on iPSC-derived functionally mature and polarized RPE cells that reproduce several features of native RPE cells, such as phagocytosis of photoreceptor outer segments (POS) and replenishment of visual pigment.

View Article and Find Full Text PDF

The increasing utilization of deep learning models in drug repositioning has proven to be highly efficient and effective. In this study, we employed an integrated deep-learning model followed by traditional drug screening approach to screen a library of FDA-approved drugs, aiming to identify novel inhibitors targeting the TNF-α converting enzyme (TACE). TACE, also known as ADAM17, plays a crucial role in the inflammatory response by converting pro-TNF-α to its active soluble form and cleaving other inflammatory mediators, making it a promising target for therapeutic intervention in diseases such as rheumatoid arthritis.

View Article and Find Full Text PDF

Background: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and "other diagnoses" by using deep learning and complete, unselected data from an entire regional health care system.

Methods: In this cross-sectional study, we included all dyspnoeic ED visits of patients ≥ 18 years of age at the two EDs in the region of Halland, Sweden, 07/01/2017-12/31/2019.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!