One connector, four scholarly indexes, real DOIs and legal free PDFs. Works in Claude and ChatGPT.
Paste it into Claude or ChatGPT as a custom connector. 3-day free trial.
Bo Liu, Dandan Zheng, Siyu Zhou, Lihong Chen, Jian Yang
The virulence factor database (VFDB, http://www.mgc.ac.cn/VFs/) is dedicated to presenting a comprehensive knowledge base and a versatile analysis platform for bacterial virulence factors (VFs). Recent developments in sequencing technologies have led to increasing demands to analyze potential VFs within microbiome data that always consist of many different bacteria. Nevertheless, the current classification of VFs from various pathogens is based on different schemes, which create a chaotic situation and form a barrier for the easy application of the VFDB dataset for future panbacterial metagenomic analyses. Therefore, based on extensive literature mining, we recently proposed a general category of bacterial VFs in the database and reorganized the VFDB dataset accordingly. Thus, all known bacterial VFs from 32 genera of common bacterial pathogens collected in the VFDB are well grouped into 14 basal categories along with over 100 subcategories in a hierarchical architecture. The new coherent and well-defined VFDB dataset will be feasible and applicable for future panbacterial analysis in terms of virulence factors. In addition, we introduced a redesigned JavaScript-independent web interface for the VFDB website to make the database readily accessible to all users with various client settings worldwide.
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
Liu, B., Zheng, D., Zhou, S., Chen, L., & Yang, J. (2021). VFDB 2022: a general classification scheme for bacterial virulence factors. Nucleic Acids Research, 50(D1), D912–D917. https://doi.org/10.1093/nar/gkab1107
Liu, Bo, et al. "VFDB 2022: a general classification scheme for bacterial virulence factors." Nucleic Acids Research, vol. 50, no. D1, 2021, pp. D912–D917, https://doi.org/10.1093/nar/gkab1107.
Liu, Bo, Dandan Zheng, Siyu Zhou, Lihong Chen, and Jian Yang. "VFDB 2022: a general classification scheme for bacterial virulence factors." Nucleic Acids Research 50, no. D1 (2021): D912–D917. https://doi.org/10.1093/nar/gkab1107.
Liu B., Zheng D., Zhou S. [и др.] VFDB 2022: a general classification scheme for bacterial virulence factors // Nucleic Acids Research. — 2021. — Vol. 50, № D1. — P. D912–D917. — URL: https://doi.org/10.1093/nar/gkab1107
@article{liu2021vfdb,
title = {{VFDB 2022: a general classification scheme for bacterial virulence factors}},
author = {Bo Liu and Dandan Zheng and Siyu Zhou and Lihong Chen and Jian Yang},
journal = {Nucleic Acids Research},
year = {2021},
volume = {50},
number = {D1},
pages = {D912--D917},
doi = {10.1093/nar/gkab1107},
url = {https://doi.org/10.1093/nar/gkab1107}
}TY - JOUR AU - Liu, Bo AU - Zheng, Dandan AU - Zhou, Siyu AU - Chen, Lihong AU - Yang, Jian TI - VFDB 2022: a general classification scheme for bacterial virulence factors JO - Nucleic Acids Research VL - 50 IS - D1 SP - D912 EP - D917 PY - 2021 DA - 2021/10/21 DO - 10.1093/nar/gkab1107 UR - https://doi.org/10.1093/nar/gkab1107 ER -
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.