English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Combination of network and molecule structure accurately predicts competitive inhibitory interactions

Razaghi-Moghadam, Z., Sokolowska, E., Sowa, M., Skirycz, A., & Nikoloski, Z. (2021). Combination of network and molecule structure accurately predicts competitive inhibitory interactions. Computational and Structural Biotechnology Journal, 19, 2170-2178. doi:10.1016/j.csbj.2021.04.012.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Razaghi-Moghadam, Z.1, Author              
Sokolowska, E.2, Author              
Sowa, M.A.3, Author
Skirycz, A.2, Author              
Nikoloski, Z.1, Author              
Affiliations:
1Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310              
2Small-Molecule Signalling, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_2586692              
3External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.csbj.2021.04.012
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computational and Structural Biotechnology Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 19 Sequence Number: - Start / End Page: 2170 - 2178 Identifier: ISSN: 2001-0370
CoNE: https://pure.mpg.de/cone/journals/resource/2001-0370