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DrugMAP: molecular atlas and pharma-information of all drugs
The efficacy and safety of drugs are widely known to be determined by their interactions with multiple molecules of pharmacological importance, and it is therefore essential to systematically depict the molecular atlas and pharma-information of studied drugs. However, our understanding of such infor...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825453/ https://www.ncbi.nlm.nih.gov/pubmed/36243961 http://dx.doi.org/10.1093/nar/gkac813 |
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author | Li, Fengcheng Yin, Jiayi Lu, Mingkun Mou, Minjie Li, Zhaorong Zeng, Zhenyu Tan, Ying Wang, Shanshan Chu, Xinyi Dai, Haibin Hou, Tingjun Zeng, Su Chen, Yuzong Zhu, Feng |
author_facet | Li, Fengcheng Yin, Jiayi Lu, Mingkun Mou, Minjie Li, Zhaorong Zeng, Zhenyu Tan, Ying Wang, Shanshan Chu, Xinyi Dai, Haibin Hou, Tingjun Zeng, Su Chen, Yuzong Zhu, Feng |
author_sort | Li, Fengcheng |
collection | PubMed |
description | The efficacy and safety of drugs are widely known to be determined by their interactions with multiple molecules of pharmacological importance, and it is therefore essential to systematically depict the molecular atlas and pharma-information of studied drugs. However, our understanding of such information is neither comprehensive nor precise, which necessitates the construction of a new database providing a network containing a large number of drugs and their interacting molecules. Here, a new database describing the molecular atlas and pharma-information of drugs (DrugMAP) was therefore constructed. It provides a comprehensive list of interacting molecules for >30 000 drugs/drug candidates, gives the differential expression patterns for >5000 interacting molecules among different disease sites, ADME (absorption, distribution, metabolism and excretion)-relevant organs and physiological tissues, and weaves a comprehensive and precise network containing >200 000 interactions among drugs and molecules. With the great efforts made to clarify the complex mechanism underlying drug pharmacokinetics and pharmacodynamics and rapidly emerging interests in artificial intelligence (AI)-based network analyses, DrugMAP is expected to become an indispensable supplement to existing databases to facilitate drug discovery. It is now fully and freely accessible at: https://idrblab.org/drugmap/ |
format | Online Article Text |
id | pubmed-9825453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254532023-01-10 DrugMAP: molecular atlas and pharma-information of all drugs Li, Fengcheng Yin, Jiayi Lu, Mingkun Mou, Minjie Li, Zhaorong Zeng, Zhenyu Tan, Ying Wang, Shanshan Chu, Xinyi Dai, Haibin Hou, Tingjun Zeng, Su Chen, Yuzong Zhu, Feng Nucleic Acids Res Database Issue The efficacy and safety of drugs are widely known to be determined by their interactions with multiple molecules of pharmacological importance, and it is therefore essential to systematically depict the molecular atlas and pharma-information of studied drugs. However, our understanding of such information is neither comprehensive nor precise, which necessitates the construction of a new database providing a network containing a large number of drugs and their interacting molecules. Here, a new database describing the molecular atlas and pharma-information of drugs (DrugMAP) was therefore constructed. It provides a comprehensive list of interacting molecules for >30 000 drugs/drug candidates, gives the differential expression patterns for >5000 interacting molecules among different disease sites, ADME (absorption, distribution, metabolism and excretion)-relevant organs and physiological tissues, and weaves a comprehensive and precise network containing >200 000 interactions among drugs and molecules. With the great efforts made to clarify the complex mechanism underlying drug pharmacokinetics and pharmacodynamics and rapidly emerging interests in artificial intelligence (AI)-based network analyses, DrugMAP is expected to become an indispensable supplement to existing databases to facilitate drug discovery. It is now fully and freely accessible at: https://idrblab.org/drugmap/ Oxford University Press 2022-10-16 /pmc/articles/PMC9825453/ /pubmed/36243961 http://dx.doi.org/10.1093/nar/gkac813 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Li, Fengcheng Yin, Jiayi Lu, Mingkun Mou, Minjie Li, Zhaorong Zeng, Zhenyu Tan, Ying Wang, Shanshan Chu, Xinyi Dai, Haibin Hou, Tingjun Zeng, Su Chen, Yuzong Zhu, Feng DrugMAP: molecular atlas and pharma-information of all drugs |
title | DrugMAP: molecular atlas and pharma-information of all drugs |
title_full | DrugMAP: molecular atlas and pharma-information of all drugs |
title_fullStr | DrugMAP: molecular atlas and pharma-information of all drugs |
title_full_unstemmed | DrugMAP: molecular atlas and pharma-information of all drugs |
title_short | DrugMAP: molecular atlas and pharma-information of all drugs |
title_sort | drugmap: molecular atlas and pharma-information of all drugs |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825453/ https://www.ncbi.nlm.nih.gov/pubmed/36243961 http://dx.doi.org/10.1093/nar/gkac813 |
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