Methods for detecting, building, and improving tryptophan mannosylation in glycoprotein structures.

Tryptophan mannosylation, the covalent addition of an α-ᴅ-mannose sugar to a tryptophan side chain, is a post-translational modification (PTM) that can affect protein stability, folding, and interactions. Compared to other forms of protein glycosylation, it is relatively uncommon but is affected by conformational anomalies and modeling errors similar to those seen in N- and O-glycans in the Protein Data Bank (PDB). In this work, we report methods for detecting, building, and improving mannose structures linked to tryptophans.

Investigating the metabolic load of monoclonal antibody production conveyed to an inducible CHO cell line using a transfer-rate online monitoring system.

Shake flasks are a foundational tool in early process development by allowing high throughput exploration of the design space. However, lack of online data at this scale can hamper rapid decision making. Oxygen transfer rate (OTR) monitoring has been readily applied as an online process characterization tool at the benchtop bioreactor scale.

Association of smartphone and internet addiction with mental health during the COVID-19 pandemic: A systematic review and meta-analysis.

Background: Excessive use of smartphones and the Internet can lead to addiction and may increase the risk of developing mental disorders, particularly in the context of the COVID-19 outbreak.

Objective: This systematic review and meta-analysis synthesized the existing literature reporting the impact of smartphone and Internet addiction on mental health during the COVID-19 pandemic.

Methods: A systematic search was performed on two databases, PubMed and EMBASE, following the PRISMA guidelines to identify articles conducted from December 2019 when the COVID-19 pandemic began to emerge.

A Topology-Enhanced Multi-Viewed Contrastive Approach for Molecular Graph Representation Learning and Classification.

In recent times, graph representation learning has been becoming a hot research topic which has attracted a lot of attention from researchers. Graph embeddings have diverse applications across fields such as information and social network analysis, bioinformatics and cheminformatics, natural language processing (NLP), and recommendation systems. Among the advanced deep learning (DL) based architectures used in graph representation learning, graph neural networks (GNNs) have emerged as the dominant and highly effective framework.

Exploration of magnetic zeolite thin film derived from coal fly ash an efficient sorbent: Application to water treatment.

Fly ash, produced during coal combustion for energy making, which is recognized as an industrial by-product, could lead to environmental health hazards. Subsequently, fly ash found that an exceptional adsorption performance for the removal of various toxic pollutants, the adsorption capacity of fly ash might be altered by introducing physical/chemical stimulation. Successfully converting fly ash into zeolites not only recovers their disposal difficulties but also transforms unwanted materials into merchandisable products for various industrial applications.