ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties

Guo‐Li Xiong(Central South University), Zhenhua Wu(Zhejiang University), Jiacai Yi(National University of Defense Technology), Li Fu(Central South University), Zhijiang Yang(Central South University), Chang‐Yu Hsieh(Tencent (China)), Mingzhu Yin(Central South University), Xiangxiang Zeng(Hunan University), Chengkun Wu(National University of Defense Technology), Aiping Lü(Hong Kong Baptist University), Xiang Chen(Central South University), Tingjun Hou(Zhejiang University), Dongsheng Cao(Central South University)
Nucleic Acids Research
March 30, 2021
Cited by 2,642Open Access
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Abstract

Because undesirable pharmacokinetics and toxicity of candidate compounds are the main reasons for the failure of drug development, it has been widely recognized that absorption, distribution, metabolism, excretion and toxicity (ADMET) should be evaluated as early as possible. In silico ADMET evaluation models have been developed as an additional tool to assist medicinal chemists in the design and optimization of leads. Here, we announced the release of ADMETlab 2.0, a completely redesigned version of the widely used AMDETlab web server for the predictions of pharmacokinetics and toxicity properties of chemicals, of which the supported ADMET-related endpoints are approximately twice the number of the endpoints in the previous version, including 17 physicochemical properties, 13 medicinal chemistry properties, 23 ADME properties, 27 toxicity endpoints and 8 toxicophore rules (751 substructures). A multi-task graph attention framework was employed to develop the robust and accurate models in ADMETlab 2.0. The batch computation module was provided in response to numerous requests from users, and the representation of the results was further optimized. The ADMETlab 2.0 server is freely available, without registration, at https://admetmesh.scbdd.com/.


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