arXiv Machine Learning June 25, 2026 By Diogo Soares, Leon Hetzel, Paulina Szymczak, Marcelo Der Torossian Torres, Johanna Sommer, Cesar de la Fuente-Nunez, Fabian Theis, Stephan G\"unnemann, Ewa Szczurek

OmegAMP: Targeted AMP Discovery via Biologically Informed Generation

Read the original on arXiv Machine Learning →

arXiv:2504. 17247v3 Announce Type: replace Abstract: Deep learning-based antimicrobial peptide (AMP) discovery faces critical challenges such as limited controllability, lack of representations that efficiently model antimicrobial properties, and low experimental hit rates.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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