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A flexible metal-organic framework called APF-40 reveals the 3D structures of large drug molecules from microgram-scale samples, including doramectin.
JNC is using BioProcess International 2026 to spotlight Cellufine and its emerging MLP chromatography media, developed to address purification challenges posed by viral vectors, va...
Medicinal chemists have long chased a deceptively simple goal: build drug candidates that are less flat, more three-dimensional, and more likely to succeed in the clinic. A researc...
New upconversion nanoparticles emit much brighter signals and distinguish structural isomers, enabling sensitive detection of drug impurities and pollutants.
Researchers trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be positioned....
Backed by multiple Sec61 inhibitor families, proteomics and cryo-EM datasets, and machine learning-driven design, Enodia Therapeutics’ platform is the foundation of a new research...
Using deep learning, researchers predict tautomeric states - an important foundation for reliable drug design.
A small-molecule therapy, VG-3927, targeting microglial TREM2 signaling showed neuroprotective effects in preclinical studies for Alzheimer's disease and was well tolerated in a Ph...
Spectroscopic analysis techniques rely on empirical models that are time consuming and expensive to make. Biopharma companies could speed development and reduce costs using a model...
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