Current in silico methods for multi-target drug discovery in early anticancer research : the rise of the perturbation-theory machine learning approach
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
Future medicinal chemistry - 15(2023), 18 vom: 20. Sept., Seite 1647-1650 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kleandrova, Valeria V [VerfasserIn] |
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| Links: |
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| Themen: |
Anticancer |
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| Anmerkungen: |
Date Completed 23.10.2023 Date Revised 24.10.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.4155/fmc-2023-0241 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM362248141 |
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