OmegAMP, a conditional diffusion framework controlling net charge, mean hydrophobicity, and sequence length, supporting de novo, analog, and motif-guided design, opens a programmable route to new peptide antibiotics whose mechanism and safety follow from the chosen prototype.
Paulina Szymczak, Marcelo Der Torossian Torres, Diogo Soares et al.· bioRxiv· 0 citations
Freeze, Diffuse, Decode (FDD), a novel diffusion-based framework that adapts pre-trained embeddings to downstream tasks while preserving their underlying geometric structure, is introduced.
Pankhil Gawade, Adam Izdebski, Myriam Lizotte et al.· 0 citations
This work introduces seqme, a modular and highly extendable open-source Python library, containing model-agnostic metrics for evaluating computational methods for biological sequence design, and can be used to evaluate both one-shot generation and iterative optimization.
Rasmus Møller-Larsen, Adam Izdebski, Jan Olszewski et al.· Bioinformatics Advances· 2 citations
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