The field of droplet microfluidics has emerged as a transformative approach for utilising microscale droplets as individual reaction compartments. This technology facilitates the precise manipulation ...

Fragment-based drug design (FBDD) has led to a revolution in contemporary drug discovery, facilitating a bottom-up approach to the identification and evolution of bioactive small molecules into viable ...

EMERYVILLE, Calif.--(BUSINESS WIRE)--OmniAb, Inc. (NASDAQ: OABI) today announced its participation in the 21 st Annual PEGS Boston – The Essential Protein & Antibody Engineering Summit underway at the ...

Sino Biological, Inc. is proud to announce the launch of its innovative SwiftFluo ® TR-FRET Kinase Assay Kits, a ready-to-use ...

To battle this epidemic, the National Institutes of Health (NIH) launched the Helping to End Addiction Long-term (HEAL) Initiative in 2018. As part of this effort, scientists at the NIH National ...

Dynamic light scattering is frequently utilized to assess the quality of protein aggregation, degradation and solution. However, for high-throughput screening, conventional dynamic light scattering ...

The downstream processing of virus particles, vesicles, RNAs, plasmids and other forms of DNA, contains multiple interdependent steps, each requiring optimization for best results. This webinar will ...

SCIEX launched the Echo ® MS+ system at SLAS 2024. According to the company, the system couples proprietary acoustic ejection mass spectrometry technology and open port interface (OPI) sampling with ...

Developing new pharmaceuticals is a complex and costly process that requires innovation and efficiency. High-throughput immunoassays (HTIs) are an emerging technology poised to accelerate the drug ...

Physiochemical properties such as solubility and dissolution rate play a crucial role when it comes to the therapeutic efficacy of oral drug formulations. According to the Biopharmaceutical ...

From DFT calculation to ML prediction, the potential catalysts with highly active and selective performance are efficiently screened by four ML models, i.e. decision tree, random forest, support ...