Abstract
Docking and quantifying the binding of small molecules to the 3D structure of a macromolecular bioregulator by computational techniques is a typical task in R&D aimed at the design and optimization of medically or otherwise active compounds. Much less known is the fact that these methods can be successfully applied for the purpose of toxicity prediction—for example, detecting a compound’s potential binding to so-called “off-targets” already at the preclinical stage. In this chapter, we provide an overview of such a computational approach, discuss its strengths and weaknesses, and include a case study—focused on natural compounds present in traditional medicines.
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Smieško, M., Vedani, A. (2016). VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines. In: Benfenati, E. (eds) In Silico Methods for Predicting Drug Toxicity. Methods in Molecular Biology, vol 1425. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3609-0_7
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DOI: https://doi.org/10.1007/978-1-4939-3609-0_7
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