Standout Papers

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP 2023 2026 202479
  1. Discovering highly potent antimicrobial peptides with deep generative model HydrAMP (2023)
    Marta Bauer, Damian Neubauer et al. Nature Communications

Immediate Impact

5 by Nobel laureates 1 from Science/Nature 67 standout
Sub-graph 1 of 20

Citing Papers

Mining human microbiomes reveals an untapped source of peptide antibiotics
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Discovery of antimicrobial peptides in the global microbiome with machine learning
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1 intermediate paper

Works of Piotr Setny being referenced

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
2023 Standout

Author Peers

Author Last Decade Papers Cites
Piotr Setny 722 259 189 38 1.0k
Ànna Pavlova 732 163 182 44 1.3k
Soohyung Park 859 246 133 41 1.3k
René P. Sperb 798 429 296 18 1.4k
Volker Knecht 997 316 115 46 1.4k
Taras V. Pogorelov 988 281 166 45 1.4k
Jožica Dolenc 750 213 275 50 1.1k
Hyung‐June Woo 658 227 444 24 1.3k
Sergio A. Hassan 694 300 284 60 1.2k
David R. Slochower 628 148 188 21 935
Chuan Li 646 155 157 17 969

All Works

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2026