NMR H, C, N backbone resonance assignments of 14-3-3ζ binding region of human FOXO3a (residues 1-284).

In tumors, mutation in Ras proteins stimulates a signaling cascade through phosphorylation. Downstream of the cascade, many transcription and translation factors are up- or down-regulated by phosphorylation, leading to cancer progression. This phosphorylation cascade is sustained by 14-3-3ζ protein.

Ribonuclease inhibitor and angiogenin system regulates cell type-specific global translation.

Translation of mRNAs is a fundamental process that occurs in all cell types of multicellular organisms. Conventionally, it has been considered a default step in gene expression, lacking specific regulation. However, recent studies have documented that certain mRNAs exhibit cell type-specific translation.

Effects of Physical Therapy on a Patient With Lemierre's Syndrome Who Had Atelectasis and Limited Range of Motion in the Neck.

Lemierre's syndrome (LS) is a severe infectious disease that can lead to the formation of neck abscesses and thrombosis. LS may be an indication for surgery; however, there are few reports on the physical therapy approaches used in patients with LS. A male patient in his 20s reported atelectasis and limited range of motion in the neck after resection of a deep neck abscess on the left side of the neck caused by LS.

Qualitative research concerning physiotherapy approaches to encourage physical activity in older adults with dementia.

Background: Physical exercise is known to improve the level of activities of daily living and physical function in people with dementia; however, symptoms of dementia often pose challenges when implementing physical therapy. This study aimed to elucidate how physiotherapists (PTs) engage with older adults with dementia to encourage exercise and participation in physical activity.

Methods: In this qualitative study, four PTs working with older adults with dementia in long-term care facilities in Japan were recruited and interviewed.

Applying deep learning to iterative screening of medium-sized molecules for protein-protein interaction-targeted drug discovery.

We combined a library of medium-sized molecules with iterative screening using multiple machine learning algorithms that were ligand-based, which resulted in a large increase of the hit rate against a protein-protein interaction target. This was demonstrated by inhibition assays using a PPI target, Kelch-like ECH-associated protein 1/nuclear factor erythroid 2-related factor 2 (Keap1/Nrf2), and a deep neural network model based on the first-round assay data showed a highest hit rate of 27.3%.