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Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets

Taki, Aya C.; Kapp, Louis; Hall, Ross S.; Byrne, Joseph J.; Sleebs, Brad E.; Chang, Bill C. H.; Gasser, Robin B.;
GND
120701243
Affiliation
Max Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, National Reference Centre, Germany
Hofmann, Andreas

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Published in:
International Journal of Molecular Sciences
Vol. 26, (2025), H. 7 articlenr.:3134 p. 1-22
Volume:
26, (2025)
No.:
7
Date Issued:
25.03.2025
DOI:
10.3390/ijms26073134
Language:
English
Type of Resource:
Text
Publisher:
MDPI AG
DDC subject of DNB:
004 Data processing Computer sciences
DDC subject of DNB:
570 Life science
URL:
https://www.mdpi.com/1422-0067/26/7/3134
Link to Raw Object:
https://www.mdpi.com/1422-0067/26/7/3134/pdf?version=1743160226
Institution:
Max Rubner-Institut, National Reference Centre for Authentic Food
Physical Location:
W3466

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