Toggle navigation
Publications
Researchers
Institutions
0
Sign In
Federated Authentication
(Click on the image)
Local Sign In
Password Recovery
Register
Sign In
Publications
Search
Statistics
Dissecting Celastrol with Machine Learning to Unveil Dark Pharmacology
AuthID
P-00Q-NZH
4
Author(s)
Rodrigues, T
·
de Almeida, BP
·
Barbosa Morais, NL
·
Bernardes, GJL
Document Type
Article
Year published
2019
Published
in
CHEMICAL COMMUNICATIONS,
ISSN: 1359-7345
Volume: 55, Issue: 45, Pages: 6369-6372 (4)
Indexing
Wos
®
Scopus
®
Crossref
®
10
Pubmed
®
Google Scholar
®
Metadata
Sources
Publication Identifiers
DOI
:
10.1039/c9cc03116b
Pubmed
: 31089616
SCOPUS
: 2-s2.0-85066455500
Wos
: WOS:000471038300002
Source Identifiers
ISSN
: 1359-7345
Export Publication Metadata
Export
×
Publication Export Settings
BibTex
EndNote
APA
Export Preview
Marked List
Add to Marked List
Info
At this moment we don't have any links to full text documens.
×
Select Source
This publication has:
2 records from
ISI
2 records from
SCOPUS
2 records from
DBLP
2 records from
Unpaywall
2 records from
Openlibrary
2 records from
Handle
Please select which records must be used by Authenticus!
×
Preview Publications
© 2024 CRACS & Inesc TEC - All Rights Reserved
Privacy Policy
|
Terms of Service