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
LMPhosSite: A Deep Learning-Based Approach for General Prot..:
Pakhrin, Subash C.
;
Pokharel, Suresh
;
Pratyush, Pawel
...
Journal of Proteome Research. 22 (2023) 8 - p. 2548-2557 , 2023
Link:
https://doi.org/10.1021/acs.jproteome.2c00667
RT Journal T1
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jproteome.2c00667&Exemplar=1&LAN=DE A1 Pakhrin, Subash C. A1 Pokharel, Suresh A1 Pratyush, Pawel A1 Chaudhari, Meenal A1 Ismail, Hamid D. A1 KC, Dukka B. PB American Chemical Society (ACS) YR 2023 SN 1535-3893 SN 1535-3907 JF Journal of Proteome Research VO 22 IS 8 SP 2548 OP 2557 LK http://dx.doi.org/https://doi.org/10.1021/acs.jproteome.2c00667 DO https://doi.org/10.1021/acs.jproteome.2c00667 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)