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ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties
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 evaluat...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262709/ https://www.ncbi.nlm.nih.gov/pubmed/33893803 http://dx.doi.org/10.1093/nar/gkab255 |
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author | Xiong, Guoli Wu, Zhenxing Yi, Jiacai Fu, Li Yang, Zhijiang Hsieh, Changyu Yin, Mingzhu Zeng, Xiangxiang Wu, Chengkun Lu, Aiping Chen, Xiang Hou, Tingjun Cao, Dongsheng |
author_facet | Xiong, Guoli Wu, Zhenxing Yi, Jiacai Fu, Li Yang, Zhijiang Hsieh, Changyu Yin, Mingzhu Zeng, Xiangxiang Wu, Chengkun Lu, Aiping Chen, Xiang Hou, Tingjun Cao, Dongsheng |
author_sort | Xiong, Guoli |
collection | PubMed |
description | 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/. |
format | Online Article Text |
id | pubmed-8262709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627092021-07-08 ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties Xiong, Guoli Wu, Zhenxing Yi, Jiacai Fu, Li Yang, Zhijiang Hsieh, Changyu Yin, Mingzhu Zeng, Xiangxiang Wu, Chengkun Lu, Aiping Chen, Xiang Hou, Tingjun Cao, Dongsheng Nucleic Acids Res Web Server issue 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/. Oxford University Press 2021-04-24 /pmc/articles/PMC8262709/ /pubmed/33893803 http://dx.doi.org/10.1093/nar/gkab255 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server issue Xiong, Guoli Wu, Zhenxing Yi, Jiacai Fu, Li Yang, Zhijiang Hsieh, Changyu Yin, Mingzhu Zeng, Xiangxiang Wu, Chengkun Lu, Aiping Chen, Xiang Hou, Tingjun Cao, Dongsheng ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title_full | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title_fullStr | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title_full_unstemmed | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title_short | ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties |
title_sort | admetlab 2.0: an integrated online platform for accurate and comprehensive predictions of admet properties |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262709/ https://www.ncbi.nlm.nih.gov/pubmed/33893803 http://dx.doi.org/10.1093/nar/gkab255 |
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