A manually curated, specialized resource of 300 antimicrobial peptides targeting Acinetobacter baumannii — comprising 250 natural and 50 synthetic/mutated sequences, complete with AlphaFold 3D models, 14 physicochemical parameters, and 5,000 docked complexes with pathogenic target proteins.
Acinetobacter baumannii Specific Antimicrobial peptides is a WHO critical-priority pathogen with rapidly escalating resistance. AbAMPdb offers an integrated, pathogen-specific resource to accelerate AMP-based therapeutic discovery.
250 experimentally validated AMP sequences against A. baumannii, sourced and filtered from DRAMP, DBAASP, CAMP, APD3, LAMP, BaAMPs, and primary literature — each annotated with sequence, length, MIC values, and activity data.
50 computationally designed AMPs built using the amino acid walking substitution strategy (5′→3′), replacing residues N, L, W, V, M, F, H, D, Y, E with K, P, I, C to enhance potency and reduce toxicity. 98% are non-haemolytic.
AlphaFold v2.0-predicted 3D structures for all 300 AMPs — natural and synthetic — downloadable in PDB format, with per-residue pLDDT confidence reported. 70% of natural and 90% of synthetic AMPs achieved high confidence scores.
5,000 AMP–protein docked complexes against 20 virulence and antibiotic-resistance target proteins (OMP 33–36, LptD, fimH, OXA-51, adeA/R/S/C, ampC, and more), with 2D residue-level interaction visualisations via LigPlot+.
14 parameters per AMP: molecular weight, net charge, hydrophobicity, isoelectric point, aliphatic index, instability index, Boman index, hydrophobic moment, haemolytic activity, amphipathicity, toxicity, half-life, and more.
User-friendly interface with search by AMP name or sequence. Downloadable PDB structures, docked complexes, CSV and XML exports for physicochemical data, binding affinity, RMSD scores, and dissociation constants.
AbAMPdb was built through a rigorous four-stage workflow integrating multi-database curation, computational property analysis, structure prediction, and molecular docking.
350 AMPs gathered from DRAMP, DBAASP, CAMP, APD3, LAMP, and BaAMPs via targeted keyword searches. Criteria: <50 aa length, A. baumannii-specific, MIC-reported
14 parameters assessed using R Peptides, ProtParam, AMPlify (deep learning; score ≥0.7), HemoPI, ToxinPred, and peptide.bio for all 250 natural AMPs.
205 mutant peptides via amino acid walking (5′→3′). 50 non-toxic, high-scoring synthetic AMPs selected after physicochemical screening and AMPlify validation.
AlphaFold v2.0 generated 3D structures for all 300 AMPs. High pLDDT confidence in 70% natural and 90% synthetic AMPs. Structures integrated in PDB format.
LightDock (natural AMPs) and CABSDock + FlexPepDock (synthetic AMPs) used for flexible AMP–protein docking against 20 A. baumannii target proteins.
All plans are currently free. Pricing will be announced soon.
0$ / forever
Full access · No credit card needed
100$ / year
Advanced features for labs & institutions
Features coming soon. Stay tuned for updates.
Access 300 curated AMPs, 5,000 docked complexes, AlphaFold 3D structures, and full physicochemical profiles — all freely available online.
If AbAMPdb contributed to your research, please cite the original publication.
PMID: 39395188
PMC11470754
DOI: 10.1093/database/baae096
NLM: Anwer F, Navid A, Faiz F, Haider U, Nasir S, Farooq M, Zahra M, Bano A, Bashir HH, Ahmad M, Abbas SA, Room SE, Saeed MT, Ali A. AbAMPdb: a database of Acinetobacter baumannii specific antimicrobial peptides. Database (Oxford). 2024 Oct 12;2024:baae096. doi: 10.1093/database/baae096.
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