SciTrends
SciTrends is a cutting-edge platform dedicated to keeping professionals, researchers, and enthusiasts abreast of the latest developments in the scientific realm. Focused on biological, chemical, physical, life sciences, engineering, and technology, Sci-Trends serves as a centralized hub for accessing timely and relevant information from diverse scientific disciplines.
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A global phase 3 study of serplulimab plus chemotherapy as first-line treatment for advanced squamous non-small-cell lung cancer (ASTRUM-004)
A recent study shows that First-line serplulimab plus chemotherapy improves PFS and OS and promises another treatment option for these patients. Their results demonstrate that adding serplulimab to chemotherapy significantly improves survival in advanced squamous NSCLC patients, with manageable safety.
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Interferon-stimulated neutrophils as a predictor of immunotherapy response
Researchers indentified interferon-stimulated, Ly6Ehi neutrophils as a blood-borne biomarker of anti-PD1 response in mice at baseline. Ly6Ehi neutrophils are induced by tumor-intrinsic activation of the STING (stimulator of interferon genes) signaling pathway and possess the ability to directly sensitize otherwise…
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Molecular insights into atypical modes of β-arrestin interaction with seven transmembrane receptors
Investigators studied β-arrestins (βarrs), crucial proteins in seven transmembrane receptor (7TMR) signaling. Using cryo–electron microscopy, they captured seven structural states of βarrs, showcasing their interactions in basal, muscarinic receptor subtype 2 (M2R)-activated, and βarr-biased decoy D6 receptor (D6R)-activated states. These…
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The energetic and allosteric landscape for KRAS inhibition
Despite numerous therapeutic protein targets being genetically-validated, the challenge remains in targeting proteins with elusive allosteric sites, especially those involved in protein-protein interactions. This study addresses the gap by mapping inhibitory allosteric communication in KRAS, a challenging target. The team…
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Discovery of a structural class of antibiotics with explainable deep learning
Researchers urgently seek novel antibiotics amidst the ongoing antibiotic resistance crisis. This study introduces a deep learning-guided approach, combining machine learning and explainable graph algorithms, to explore chemical spaces for potential antibiotics. Testing over 12 million compounds, the team identified…
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A novel antibiotic class targeting the lipopolysaccharide transporter
Carbapenem-resistant Acinetobacter baumannii (CRAB) poses a global health threat, lacking effective treatments for over 50 years. Investigators have studied and introduces tethered macrocyclic peptide (MCP) antibiotics, specifically zosurabalpin (RG6006), demonstrating potent antibacterial activity against CRAB. The MCPs inhibit the LptB2FGC…