AMPs face clinical translation barriers (PK stability, specificity, immunocompatibility) addressable through ML/DL design, molecular simulation, and quantum computing, with this review bridging discovery to clinical practice.
Discovery → clinic gapDespite thousands of AMPs discovered, very few reach patients — computational tools from ML to quantum computing aim to close this translational gap
What the researchers found
AMPs face clinical barriers (PK instability, poor specificity, immunogenicity) addressable through ML/DL-guided design, MD simulations, and emerging quantum computing, with an urgent need to integrate computational and experimental pipelines.
Why it matters
Despite thousands of known AMPs, very few reach clinical use. This review identifies the bottlenecks and the technologies that can overcome them.
How the study worked
Comprehensive review spanning AMP classification, mechanisms, bioinformatics platforms, computational design, clinical challenges, and frontier technologies.
What this study cannot tell us
Rapidly evolving field; some technology assessments may be outdated quickly. Clinical translation predictions are speculative for frontier technologies.
How to read the evidence
Comprehensive field review integrating fundamental science, computational advances, and clinical development perspectives.
When this study was published
Published in 2025.
The bigger picture
The convergence of AI, quantum computing, and peptide biology could finally break the clinical translation barrier that has limited AMP therapeutics for decades.
Questions still open
- Which computational approach best predicts in vivo AMP efficacy?
- When will quantum-enhanced peptide design produce clinical candidates?
- Can standardized computational-experimental workflows accelerate AMP clinical trials?
Common questions
Why haven't more AMPs become drugs?
How does AI help develop antimicrobial peptides?
Read the original research
Antimicrobial peptides: Bioinformatic advances and translational therapeutics to combat antibiotic resistance.
Advances in protein chemistry and structural biology, 149, 1-59
Citation
Haryini, Sree; Manku, Komalpreet Kaur; Deshkar, Aishwari; Doss C, George Priya. (2026). Antimicrobial peptides: Bioinformatic advances and translational therapeutics to combat antibiotic resistance.. Advances in protein chemistry and structural biology, 149, 1-59. https://doi.org/10.1016/bs.apcsb.2025.10.017