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The structural properties of non-traditional drug targets present new challenges for virtual screening

机译:非传统药物靶标的结构性质为虚拟筛选提出了新挑战

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摘要

Traditional drug targets have historically included signaling proteins that respond to small-molecules and enzymes that use small-molecules as substrates. Increasing attention is now being directed towards other types of protein targets, in particular those that exert their function by interacting with nucleic acids or other proteins rather than small-molecule ligands. Here, we systematically compare existing examples of inhibitors of protein–protein interactions to inhibitors of traditional drug targets. While both sets of inhibitors bind with similar potency, we find that the inhibitors of protein–protein interactions typically bury a smaller fraction of their surface area upon binding to their protein targets. The fact that an average atom is less buried suggests that more atoms are needed to achieve a given potency, explaining the observation that ligand efficiency is typically poor for inhibitors of protein– protein interactions. We then carried out a series of docking experiments, and found a further consequence of these relatively exposed binding modes is that structure-based virtual screening may be more difficult: such binding modes do not provide sufficient clues to pick out active compounds from decoy compounds. Collectively, these results suggest that the challenges associated with such non-traditional drug targets may not lie with identifying compounds that potently bind to the target protein surface, but rather with identifying compounds that bind in a sufficiently buried manner to achieve good ligand efficiency, and thus good oral bioavailability. While the number of available crystal structures of distinct protein interaction sites bound to small-molecule inhibitors is relatively small at present (only 21 such complexes were included in this study), these are sufficient to draw conclusions based on the current state of the field; as additional data accumulate it will be exciting to refine the viewpoint presented here. Even with this limited perspective however, we anticipate that these insights, together with new methods for exploring protein conformational fluctuations, may prove useful for identifying the “low-hanging fruit” amongst non-traditional targets for therapeutic intervention.
机译:历史上,传统的药物靶标包括对小分子起反应的信号蛋白和以小分子为底物的酶。现在越来越多地关注其他类型的蛋白质靶标,特别是那些通过与核酸或其他蛋白质而不是小分子配体相互作用而发挥其功能的蛋白质靶标。在这里,我们系统地比较蛋白质相互作用的抑制剂与传统药物靶标抑制剂的现有实例。虽然两组抑制剂都具有相似的结合力,但我们发现,蛋白质与蛋白质相互作用的抑制剂通常在结合至蛋白质靶标后掩埋表面积较小的表面积。一个平均原子被较少掩埋的事实表明,要达到给定的效价,需要更多的原子,这解释了以下观察结果:配体效率通常对蛋白质与蛋白质相互作用的抑制剂很差。然后,我们进行了一系列对接实验,发现这些相对暴露的结合模式的另一个结果是,基于结构的虚拟筛选可能更加困难:这种结合模式无法提供足够的线索从诱饵化合物中选择活性化合物。总的来说,这些结果表明,与此类非传统药物靶标相关的挑战可能不在于鉴定与靶蛋白表面有效结合的化合物,而在于鉴定以足够掩埋的方式结合以实现良好配体效率的化合物,以及因此口服生物利用度良好。虽然目前与小分子抑制剂结合的不同蛋白质相互作用位点的可用晶体结构数量相对较少(本研究仅包括21种此类复合物),但这些足以根据当前领域得出结论。随着更多数据的积累,完善此处介绍的观点将是令人兴奋的。但是,即使在这种有限的观点下,我们仍期望这些见识以及探索蛋白质构象波动的新方法,对于在治疗干预的非传统靶标中鉴定“垂死的果实”可能是有用的。

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