Dokument: Recent advances and future trends for protein–small molecule interaction predictions with protein language models
| Titel: | Recent advances and future trends for protein–small molecule interaction predictions with protein language models | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=69928 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20250620-093606-8 | |||||||
| Kollektion: | Publikationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
| Medientyp: | Text | |||||||
| Autoren: | Kroll, Alexander [Autor] Rousset, Yvan [Autor] | |||||||
| Dateien: |
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| Beschreibung: | In recent years, the application of natural language models to protein amino acid sequences, referred to as protein language models (PLMs), has demonstrated a significant potential for uncovering hidden patterns related to protein structure, function, and stability. The critical functions of proteins in biological processes often arise through interactions with small molecules; central examples are enzymes, receptors, and transporters. Understanding these interactions is particularly important for drug design, for bioengineering, and for understanding cellular metabolism. In this review, we present state-of-the-art PLMs and explore how they can be integrated with small molecule information to predict protein-small molecule interactions. We present several such prediction tasks and discuss current limitations and potential areas for improvement. | |||||||
| Rechtliche Vermerke: | Originalveröffentlichung:
Kroll, A., & Rousset, Y. (2025). Recent advances and future trends for protein–small molecule interaction predictions with protein language models. Current Opinion in Structural Biology, 93, Article 103070. https://doi.org/10.1016/j.sbi.2025.103070 | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät | |||||||
| Dokument erstellt am: | 20.06.2025 | |||||||
| Dateien geändert am: | 20.06.2025 |
