Optimization Partitioning of Drugs into Condensates

CD BioSciences offers a variety of condensate-based drug discovery strategies to achieve repair condensatopathy, disrupt the normal function of condensates associated with disease, and prevent targets from acting by disabling them in their natural condensates or by separating them from their natural condensates. Here, we help you with drug development by optimizing the partitioning of drugs into condensates.

Introduction of Partitioning of Chemotherapeutics into Condensates

Eukaryotic cells contain multiple phase-separated biomolecular condensates that contain key drug targets such as enzymes, transcription factors, DNA, and coactivators. This creates a unique local microenvironment that can selectively increase or decrease the concentration of small molecule therapeutic drugs, thus having an impact on their target engagement and therapeutic efficacy. Studies have shown that the selective partitioning of drugs into specific condensates occurs through physicochemical properties that are independent of the basis of drug-target engagement. This behavior has now been observed in tumor cells where drug partitioning affects drug activity, meaning that changing the nature of the condensate affects the concentration and activity of the drug.

Fig. 1. Physiochemical properties of drugs and condensates determine their relative partitioning. (Howard T P, et al, 2020)

Our Solutions

CD BioSciences offers innovative solutions to optimize the partitioning of drugs into condensates. In collaboration with leading scientists in the field, our experts develop a comprehensive set of solutions that provide insight into the factors affecting drug partitioning and enable the optimization of drug-condensate interactions.

• Molecular Characterization of Condensates
  We offer state-of-the-art technologies such as mass spectrometry, cryo-electron microscopy, and advanced imaging modalities to fully characterize the composition, structure, and dynamics of condensates. By characterizing the key components of the condensates and their spatial organization, we are able to identify potential drug targets and design optimized drug molecules.
• Computational Modeling and Simulation
  By combining experimental data with molecular dynamics simulations and machine learning algorithms, we can predict the behavior of small molecule drugs in condensates at the atomic level. This strategy helps to identify key physicochemical properties that affect drug partitioning, such as hydrophobicity, charge, and size, and to rationally design drug candidates with enhanced condensate partitioning properties.
• High-throughput Screening Platform
  We offer a high-throughput screening platform to help you quickly and efficiently evaluate drug partitioning into condensates. This platform utilizes microfluidic and automated imaging systems to screen a large number of drug candidates against various condensate types. By quantifying the partitioning efficiency of different drugs, we help you identify lead compounds with optimal condensate localization. This screening approach accelerates the drug discovery process and enables the identification of promising drug candidates for further development.
• Targeted Drug Delivery Systems
  In addition to optimizing drug distribution in condensates, we are developing drug delivery systems to enhance drug accumulation in condensates and improve therapeutic efficacy while minimizing off-target effects.

CD BioSciences provides comprehensive solutions for optimal drug distribution in condensates for drug discovery and development. By utilizing innovative technologies and approaches, we aim to facilitate the development of highly effective targeted therapies that harness the potential of biomolecular condensates. If you are interested in our solutions, please contact us now to seize new drug development opportunities.