CNScience
LLPS Platform: protein liquid-liquid phase separation technology platform
Liquid-liquid phase separation has unique advantages in undruggable targets. Through years of exploration and research, we have conducted a long-term study on the phase separation characteristics of undruggable targets, summarized and established a set of processes for developing new targets and screening optimized compounds.
DROP Biology
DROP Biology
Our platform uses liquid-liquid phase separation technology to explore key issues in the field of biology and verify the relationship between targets and diseases. By separating and analyzing the components in biological samples, we can deeply understand the interaction between targets and diseases, and provide novel targets and research directions for the development of new drugs and the discovery of therapeutic methods.
DROP Automation
DROP Automation
Our platform relies on big data analysis and machine learning methods. By integrating and analyzing a variety of experimental data, we can obtain more comprehensive and accurate information and reveal hidden correlations and trends. These data-driven analysis methods can provide deeper insight and accelerate the speed of drug discovery and optimization.
DROP Intelligence
DROP Intelligence
We introduced automated equipment to support high-throughput screening and evaluation. These devices have efficient operation and accurate data recording functions, which can greatly improve the efficiency and reproducibility of the experiment. Through the automated experimental process, we can quickly evaluate a large number of targets and compounds, and find potential drug candidates.
DROP LAR
DROP LAR
Our platform uses the evaluation data of gene liquid-liquid phase separation to assist in the optimization of compound structure. For most targets without stable structure such as transcription factors, optimization based on structure-activity relationship is difficult to achieve. By evaluating the changes of liquid-liquid separation of compounds, a new perspective is provided for this kind of targets. These data provide strong support for us to optimize the structure of compounds and improve drug efficacy, and also help us better understand the mechanism of action of drugs.
