Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410013, P.R. China.
School of Chinese Medicine, Hong Kong Baptist University, Kowloon, Hong Kong SAR, 999077, P.R. China.
Nucleic Acids Res. 2024 Jul 5;52(W1):W422-W431. doi: 10.1093/nar/gkae236.
ADMETlab 3.0 is the second updated version of the web server that provides a comprehensive and efficient platform for evaluating ADMET-related parameters as well as physicochemical properties and medicinal chemistry characteristics involved in the drug discovery process. This new release addresses the limitations of the previous version and offers broader coverage, improved performance, API functionality, and decision support. For supporting data and endpoints, this version includes 119 features, an increase of 31 compared to the previous version. The updated number of entries is 1.5 times larger than the previous version with over 400 000 entries. ADMETlab 3.0 incorporates a multi-task DMPNN architecture coupled with molecular descriptors, a method that not only guaranteed calculation speed for each endpoint simultaneously, but also achieved a superior performance in terms of accuracy and robustness. In addition, an API has been introduced to meet the growing demand for programmatic access to large amounts of data in ADMETlab 3.0. Moreover, this version includes uncertainty estimates in the prediction results, aiding in the confident selection of candidate compounds for further studies and experiments. ADMETlab 3.0 is publicly for access without the need for registration at: https://admetlab3.scbdd.com.
ADMETlab 3.0 是该网络服务器的第二个更新版本,为评估药物发现过程中涉及的 ADMET 相关参数以及物理化学性质和药物化学特性提供了一个全面而高效的平台。这个新版本解决了上一个版本的局限性,提供了更广泛的覆盖范围、更高的性能、API 功能和决策支持。对于支持数据和端点,此版本包括 119 个功能,比上一个版本增加了 31 个。更新后的条目数量是上一个版本的 1.5 倍,超过 400,000 个条目。ADMETlab 3.0 采用了多任务 DMPNN 架构与分子描述符相结合的方法,这种方法不仅保证了每个端点的计算速度,而且在准确性和稳健性方面也取得了卓越的性能。此外,还引入了一个 API,以满足对 ADMETlab 3.0 中大量数据进行编程访问的需求。此外,该版本还包括预测结果中的不确定性估计,有助于有信心地选择候选化合物进行进一步的研究和实验。ADMETlab 3.0 可公开访问,无需注册,网址为:https://admetlab3.scbdd.com。