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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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/.
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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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