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A Simple Method for High Throughput Chemical Screening in Caenorhabditis Elegans
Published on: March 20, 2018
MoleQCage: Geometric High-Throughput Screening for Molecular Caging Prediction
Alexander Kravberg1, Didier Devaurs2, Anastasiia Varava1
1School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm 10044, Sweden.
Abstract:
Although being able to determine whether a host molecule can enclose a guest molecule and form a caging complex could benefit numerous chemical and medical applications, the experimental discovery of molecular caging complexes has not yet been achieved at scale. Here, we propose MoleQCage, a simple tool for the high-throughput screening of host and guest candidates based on an efficient robotics-inspired geometric algorithm for molecular caging prediction, providing theoretical guarantees and robustness assessment. MoleQCage is distributed as Linux-based software with a graphical user interface and is available online at https://hub.docker.com/r/dantrigne/moleqcage in the form of a Docker container. Documentation and examples are available as Supporting Information and online at https://hub.docker.com/r/dantrigne/moleqcage.
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