Research Insights
The Research Insights section focuses on the latest breakthroughs in medicine and science, as well as the laboratory works around the world. Research insights directly from these labs add tremendous value to our readers.
Long-term anti-SARS-CoV-2 antibody trajectories after neutralizing monoclonal antibody treatment
Neutralizing monoclonal antibodies nMAbs have been used to treat COVID and are increasingly being used to treat other infections However there is concern that by neutralizing the SARSCoV virus
Cross sectional analysis of clinical trials search results for cancer patients using a navigator-assisted clinical trials search using five different search engines
Clinical trials play a critical role in providing patients with access to novel treatments and therapies However limitations in clinical trial search engines impede healthcare professionals
Improved drug-screening tests of candidate anti-cancer drugs in patient-derived xenografts through use of numerous measures of tumor growth determined in multiple independent laboratories
Researchers screen candidate anticancer drugs for their ability to inhibit tumor growth in patientderived xenografts PDXs Typically a single laboratory will use a single measure of tumor growth
SNAI2 cooperates with MEK1/2 and HDACs to suppress BIM- and BMF-dependent apoptosis in TERT promoter mutant cancers
Cancers with TERT promoter mutations TPM display elevated RAS pathway signaling and mesenchymal traits and associate with lower patient survival rates We examined whether RAS pathway signaling
Methylobacterium extorquens PA1 utilizes multiple strategies to maintain formaldehyde homeostasis during methylotrophic growth
Metabolic homeostasis is a central organizing principle of physiology whereby dynamic processes work to maintain a balanced internal state Highly reactive essential metabolites are ideally maintained at equilibrium
Bayesian optimization and machine learning for vaccine formulation development
Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases With the advancement of data science and artificial intelligence
Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data
Repertoire sequencing allows us to investigate the antibodymediated immune response The clustering of sequences is a crucial step in the data analysis pipeline aiding in the identification of functionally related antibodies
Unraveling potential EGFR kinase inhibitors: Computational screening, molecular dynamics insights, and MMPBSA analysis for targeted cancer therapy development
EGFR is critical for tumor angiogenesis and cancer progression but existing treatments like erlotinib face limitations such as acquired resistance and side effects To address these issues this study employs structurebased
An integrative network approach for longitudinal stratification in Parkinson’s disease
Parkinsons disease PD is a neurodegenerative disorder characterized by motor symptoms resulting from the loss of dopamineproducing neurons in the brain Currently there is no cure for the disease which is in part due to the heterogeneity
Fragment-based drug discovery for transthyretin kinetic stabilisers using a novel capillary zone electrophoresis method
A Capillary Zone Electrophoresis CZE fragment screening methodology was developed and applied to the human plasma protein Transthyretin TTR normally soluble but could misfold and aggregate causing amyloidosis
