期刊论文

Wu, Aibo;Hu, Qian-Nan

英文

Journal of Hazardous Materials

0304-3894

2021

408

124810

10.1016/j.jhazmat.2020.124810

and acknowledgements This work was supported by the National Key Research and Development Program of China [grant numbers 2019YFA0904300, 2018YFA0900700, and 2017YFC1601702], Science and Technology Service Network Initiative of Chinese Academy of Sciences [KFJ-STS-ZDTP-084, QYZDB-SSW-SMC012], Shanghai Agriculture Applied Technology Development Program, China [2019-02-08-00-02-F01145], National Natural Science Foundation of China [grant numbers 31700081, 31772087, and 31570092], China Postdoctoral Science Foundation CRediT authorship contribution statement Dachuan Zhang: Conceptualization, Methodology, Writing - original draft, Writing - review & editing. Ye Tian: Conceptualization, Methodology, Writing - original draft, Writing - review & editing. Yu Tian: Conceptualization, Methodology, Writing - original draft, Writing - review & editing. Huadong Xing: Investigation, Software, Data curation. Sheng Liu: Investigation, Data curation. Haoyang Zhang: Investigation, Data curation. Shaozhen Ding: acquisition. Pengli Cai: Data curation.

本校为其他机构

Recently, biogenic toxins have received increasing attention owing to their high contamination levels in feed and food as well as in the environment. However, there is a lack of an integrative platform for seamless linking of data-driven computational methods with 'wet' experimental validations. To this end, we constructed a novel platform that integrates the technical aspects of toxin biotransformation methods. First, a biogenic toxin database termed ToxinDB (http://www.rxnfinder.org/toxindb/), containing multifaceted data on more than 4836 toxins, was built. Next, more than 8000 biotransform...