Nucleic Acids Research· 2021Q1
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties
- 2,732citations
- Q1SCImago
- 2021year
Short summary
ADMETlab 2.0, a redesigned web server, now offers predictions for approximately double the ADMET endpoints compared to its predecessor, utilizing a multi-task graph attention framework for enhanced accuracy.
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Key points
- ADMETlab 2.0 offers predictions for 751 substructures across 17 physicochemical, 13 medicinal chemistry, 23 ADME, and 27 toxicity endpoints.
- The platform utilizes a multi-task graph attention framework for model development.
- A batch computation module has been added in response to user requests.
- The server provides predictions for approximately twice the number of ADMET-related endpoints compared to the previous version.
AI-generated from the title and abstract; the full text is not read.
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/.
The authors' abstract, as published at the source. Nucleic Acids Research, 2021 · DOI ↗
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Field: Computational Theory and Mathematics
Computational Theory and MathematicsComputer Science