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The latest drug discovery news from News Medical |
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Better Biomarker Decisions, Earlier in Development
Spear Bio's custom assay development services combine the highest sensitivity with the lowest sample volume, enabling detection of ultra-low-abundance biomarkers while preserving precious clinical samples.
Using clinical samples earlier in development helps optimize assay configurations based on biological and analytical performance, reducing rework, accelerating development, and increasing the probability of success.
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| |  | | | OutSee, a genomics and drug discovery company pioneering a unique AI-based predictive approach to uncover new drug targets, today announced it has been awarded funding through Innovate UK's Investor Partnership Grant, jointly provided by Innovate UK and Empirical Ventures. | | | | | Explore the newest analytical approaches for identifying subvisible particles in biologic drug formulations. | | | | | Researchers combined toxin sequence mining with machine learning and deep-learning prediction tools to identify and experimentally test 14 antimicrobial peptide candidates derived from cobra cardiotoxins. Most candidates showed limited antibacterial potency, while CTX-p5 displayed moderate membrane-disrupting activity, revealing both the potential and current limitations of computationally guided venom peptide discovery. | | | | | Scorpion venom peptides show promising anti-inflammatory, antiviral, analgesic, and immunomodulatory effects, with experimental evidence suggesting that some candidates could target pathways involved in chronic liver disease and viral hepatitis. The review highlights Kv1. | | | | | A research team comprising Associate Professor FUNAKOSHI Yohei, Associate Professor YAKUSHIJIN Kimikazu, Professor MINAMI Hironobu, and Associate Professor OHJI Goh of Kobe University, together with graduate student MASUDA Genki, then-graduate student IIZUMI Shunsuke, Associate Professor OHUE Masahito, and colleagues at the Institute of Science Tokyo, has developed a new analysis method, LM-QASAS. | |
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