SIB Swiss Institute of Bioinformatics, Molecular Modeling Group, Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland.
Department of Oncology, Centre Hospitalier Universitaire Vaudois, CH-1015 Lausanne, Switzerland.
Sci Rep. 2017 Mar 3;7:42717. doi: 10.1038/srep42717.
To be effective as a drug, a potent molecule must reach its target in the body in sufficient concentration, and stay there in a bioactive form long enough for the expected biologic events to occur. Drug development involves assessment of absorption, distribution, metabolism and excretion (ADME) increasingly earlier in the discovery process, at a stage when considered compounds are numerous but access to the physical samples is limited. In that context, computer models constitute valid alternatives to experiments. Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal chemistry friendliness, among which in-house proficient methods such as the BOILED-Egg, iLOGP and Bioavailability Radar. Easy efficient input and interpretation are ensured thanks to a user-friendly interface through the login-free website http://www.swissadme.ch. Specialists, but also nonexpert in cheminformatics or computational chemistry can predict rapidly key parameters for a collection of molecules to support their drug discovery endeavours.
作为一种药物,有效的活性分子必须以足够的浓度到达体内的靶标,并以生物活性形式在那里停留足够长的时间,以发生预期的生物学事件。药物开发涉及在发现过程的早期阶段越来越多地评估吸收、分布、代谢和排泄(ADME),在这个阶段,考虑的化合物数量众多,但获得物理样本的机会有限。在这种情况下,计算机模型是实验的有效替代品。在这里,我们介绍了新的 SwissADME 网络工具,它可以免费访问一组快速而强大的预测模型,用于物理化学性质、药代动力学、类药性和药物化学友好性,其中包括内部熟练的方法,如 BOILED-Egg、iLOGP 和生物利用度雷达。由于通过无需登录的网站 http://www.swissadme.ch 提供用户友好的界面,因此可以轻松高效地输入和解释。专家,甚至是非化学信息学或计算化学方面的专家,也可以快速预测一组分子的关键参数,以支持他们的药物发现工作。