Author

A. Abrudan

2 papers indexed here

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Open access Sep 2026

Chemical Descriptors and Deep Learning Embeddings for Scoring de novo Peptide Designs

Peptides occupy a valuable niche between small molecules and biologics, but the clinical translation of de novo peptide designs requires rigorous scoring to simultaneously optimise target binding affinity alongside multiple developability traits, including stability, membrane permeability, aggregation propensity, and n...

Quentin Trolliet, A. Abrudan, Aryan Bhasin et al. · bioRxiv · 0 citations

#artificial intelligence Preprint Oct 2026

Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains

Unified atomistic modeling has the potential to accelerate discovery in chemistry, materials science, and biology by bridging data-rich chemical domains and data-scarce biological contexts. However, existing generative approaches to atomistic modeling remain highly specialized to scientific disciplines (chemistry vs. b...

M. Cretu, A. Abrudan, Antonia Panescu et al. · 0 citations