VirtualToxLab: Exploring the toxic potential of rejuvenating substances found in traditional medicines

7Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Smieško, M., & Vedani, A. (2016). VirtualToxLab: Exploring the toxic potential of rejuvenating substances found in traditional medicines. In Methods in Molecular Biology (Vol. 1425, pp. 121–137). Humana Press Inc. https://doi.org/10.1007/978-1-4939-3609-0_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free