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Title:Utilizing molecular descriptor importance to enhance endpoint predictions
Authors:ID Bajželj, Benjamin (Author)
ID Novič, Marjana (Author)
ID Drgan, Viktor (Author)
Files:URL URL - Source URL, visit https://www.mdpi.com/2305-6304/13/5/383
 
.pdf PDF - Presentation file, download (4,07 MB)
MD5: 28E249C2A623D4CBCB5404575552B190
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KI - National Institute of Chemistry
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2025
Year of publishing:2025
Number of pages:str. 1-12
Numbering:Vol. 13, iss. 5, [article no.] 383
PID:20.500.12556/DiRROS-23549 New window
UDC:577
ISSN on article:2305-6304
DOI:10.3390/toxics13050383 New window
COBISS.SI-ID:238997763 New window
Copyright:© 2025 by the authors. Licensee MDPI, Basel, Switzerland.
Note:Nasl. z nasl. zaslona; Opis vira z dne 11. 6. 2025;
Publication date in DiRROS:09.09.2025
Views:256
Downloads:100
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Record is a part of a journal

Title:Toxics
Shortened title:Toxics
Publisher:MDPI
ISSN:2305-6304
COBISS.SI-ID:520262681 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0017
Name:Modeliranje kemijskih procesov in lastnosti spojin

Funder:ARIS - Slovenian Research and Innovation Agency
Name:PhD study grant for young researchers

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:biokemija, struktura snovi, toksini, encimi


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