A high-throughput, online tool for investigating host-pathogen macromolecular interactions buried in scientific literature
6th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021
; : 117-118, 2021.
Article
in English
| Scopus | ID: covidwho-1759015
ABSTRACT
This work introduces a low-latency, searchable web tool for biologist and healthcare researchers to quickly explore a large number of host-pathogen interactions (HPI) reported in scientific publication. Our database contains 23,581 generic HPI and 257 COVID-19 related HPI extracted from 32 million PubMed s. The data was automatically collected by running our high-precision biomedical text mining system, which consumes much less effort than manual curation while still provides reliable output. Web URL philm2web.live © 2021 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021
Year:
2021
Document Type:
Article
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