I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
PECAN Predicts Patterns of Cancer Cell Cytostatic Activity ..:
Gahl, Martha
;
Kim, Hyun Woo
;
Glukhov, Evgenia
..
Journal of Natural Products. 87 (2024) 3 - p. 567-575 , 2024
Link:
https://doi.org/10.1021/acs.jnatprod.3c00879
RT Journal T1
PECAN Predicts Patterns of Cancer Cell Cytostatic Activity of Natural Products Using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jnatprod.3c00879&Exemplar=1&LAN=DE A1 Gahl, Martha A1 Kim, Hyun Woo A1 Glukhov, Evgenia A1 Gerwick, William H. A1 Cottrell, Garrison W. PB American Chemical Society (ACS) YR 2024 SN 0163-3864 SN 1520-6025 JF Journal of Natural Products VO 87 IS 3 SP 567 OP 575 LK http://dx.doi.org/https://doi.org/10.1021/acs.jnatprod.3c00879 DO https://doi.org/10.1021/acs.jnatprod.3c00879 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)