ArticleCell2025
A generative deep learning approach to de novo antibiotic design.
Article in Cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Combating antimicrobial resistance through multimodal data via artificial intelligence.One health (Amsterdam, Netherlands) · 2026Review
- Coupling continuous directed evolution with base editors identifies combinatorial antibiotic resistance.Biotechnology letters · 2026Article
- Artificial Intelligence-Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Evolutionary Convergence on a Dihydrofolate Reductase Mutation Drives Trimethoprim-Sulfamethoxazole Resistance in Burkholderia thailandensis.ACS infectious diseases · 2026Article
- Random Forest Modeling to Predict Small Molecule Accumulation in Gram-Negative Bacteria.ACS infectious diseases · 2026Article
- Conformational hijacking of lipoprotein transporter LolDF enables precision antimicrobial activity against Acinetobacter baumannii.Nature communications · 2026Article
- The use of artificial intelligence (AI) in neuropsychiatric drug discovery: current challenges and future directions.Translational psychiatry · 2026Review
- Medical artificial intelligence and the right to health.BMC medical ethics · 2026Article
- Deep learning-enabled discovery of antibiotics effective againstScience translational medicine · 2026Article
- SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics.Molecular systems biology · 2026Article
- Fung-AI: An AI/ML-driven pipeline for antifungal peptide discovery.PLoS computational biology · 2026Article
- Current State of the Fight Against Antimicrobial Resistance: What Are the Different Strategies for Tomorrow?Antibiotics (Basel, Switzerland) · 2026Review
- Harnessing artificial intelligence for antimicrobial discovery and optimization.Current opinion in microbiology · 2026Review
- AI is taking on antibiotic resistance - here's how.Nature · 2026Article
- Quorum Sensing and Quorum Quenching in Periodontal Disease: Mechanisms and Therapeutic Potential.Current issues in molecular biology · 2026Review
- Structure-Based Strategy Reveals a Novel Ligand Binding Site inACS omega · 2026Article
- Isoginkgetin protects against degeneration of ALS motor neurons via regulating the GSK-3β-TFEB signaling axis.Pharmacological research · 2026Article
- Immortal AI, Mortal Life: Long-Term Perspectives on AI and Human Knowledge.Journal of medical Internet research · 2026Article
- FRAIL: fragment-based reinforcement learning for molecular design and benchmarking on fatty acid amide hydrolase 1 (FAAH-1).Molecular diversity · 2026Article
- Reprogrammed SimCells for antimicrobial therapy.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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Authors and funding
32 authors.
Funding
Abstract
The antimicrobial resistance crisis necessitates structurally distinct antibiotics. While deep learning approaches can identify antibacterial compounds from existing libraries, structural novelty remains limited. Here, we developed a generative artificial intelligence framework for designing de novo antibiotics through two approaches: a fragment-based method to comprehensively screen >10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.