Three-phase Diana moonlight illustration with peptide and molecular motifs
Inspired by Diana Triformis

A multifunctionalpeptidedatabase

for moonlight peptide discovery

PepDiana integrates peptide identities from 26 public resources with newly curated paper-level experimental observations while preserving each data layer and its provenance. Its name reflects Diana's many lunar phases and the multifunctionality of moonlight peptides.

Integrated data

Database-derived records with source-level provenance

Peptide identities

82,224

26 public resources across 25 stored namespaces

Cited publications

12,264

Distinct PMID or title-year publication identities

Activity records

376,740

Normalized source-database activity observations

Primary literature data

Newly curated paper-level identities and observations

Peptide identities

3,375

Primary-only sequence and modification-aware identities

Source publications

3,682

Primary publications represented in the evidence layer

Experimental observations

55,908

Positive, negative, threshold, and qualitative records

Activity and moonlight landscape

Top-level activity classes

17

Distinct non-unknown Level 1 activity classes

Secondary activity annotations

735

Distinct non-unknown Level 2 activity labels

Moonlight peptides

14,868

Identities supported by at least two Level 1 activity classes

Provenance-separated architecture

One research interface, three explicit data layers

PepDiana supports joint discovery without collapsing database-derived annotations, primary-literature peptide identities, and sequence-unresolved evidence into one ambiguous record type.

Why PepDiana

Data quality and standards

Methodology

Provenance-separated coverage

Integrated public-database records and newly curated primary-literature evidence remain independently stored and jointly searchable.

Comprehensive schema

Sequence, structure, modification, activity, assay, target, condition, literature, and provenance share explicit fields.

Record-level traceability

Integrated activities retain source IDs and URLs; primary observations retain paper, mention, and source-location links.

Standards-aware representations

ProForma 2.0, HELM 2.0, and canonical/isomeric SMILES include validation coverage and readable failure states.

Versioned descriptors

Physicochemical descriptors are release-computed with locked tool versions, assumptions, input hashes, and quality flags.

Evidence preservation

Negative, threshold, complex, and sequence-unresolved observations remain queryable instead of being silently discarded.

Source coverage

dramp36,168
dbaasp24,712
camp24,243
satpdb19,192
conoserver9,251
thpdb6,370
apd6,278
plantpepdb6,171
ahtpdb5,978

Curated provenance

Every record keeps source identifiers and links visible.

Assay-ready browsing

Activity classes, units, organisms, and methods stay close to the sequence.

Cross-database joins

Source multiplicity is surfaced as a practical quality signal.

ML-friendly shape

FASTA export and compact tables support downstream modeling workflows.