PeptideScholar Labs
Experimental tools, data products, and advanced workflows for researchers, clinicians, and advanced readers. This route now behaves like a standalone research surface rather than a generic content index.
Evidence Comparator
Side-by-side clinical evidence comparison for 2 to 4 peptides. Compare benefits, side effects, evidence grades, mechanisms, and PubMed references across the peptide database.
LiveSequence Analyzer
Calculate molecular weight, isoelectric point, hydropathy profile, and net charge from any amino acid sequence with interactive pH adjustment.
LiveWADA Monitor
Reference of WADA-prohibited peptides with 2026 Prohibited List citations, filtering by banned status, evidence grade, and category.
LiveLiterature Alerts
Build a personalized PubMed watchlist for peptide research and generate RSS feeds, search URLs, and trial trackers.
LiveStack Explorer
Explore known peptide combinations with synergy rationale, evidence grades, and safety warnings across healing, metabolic, and longevity stacks.
LiveStack Generator
Start from a symptom or health goal and find peptides studied for that condition, with evidence grades and safety warnings attached.
LiveStructure Predictor
Predict 3D peptide structures through the ESMFold API and export PDB output for external visualization.
LiveCommunity Stacks
Browse unverified community stack reports with dosage transparency, observed effects, and side-effect notes.
Data Products
Structured endpoints for teams that want reference data without scraping the editorial site.
Peptide Database API
Read-only JSON API for the full peptide dataset, including benefits, side effects, references, and regulatory status.
/api/peptidesPeptide Detail API
Retrieve a single peptide record by slug with complete structured evidence, references, and metadata.
/api/peptides/{slug}// List all peptides
curl https://peptidescholar.com/api/peptides
// Get a single peptide
curl https://peptidescholar.com/api/peptides/semaglutide
// Response includes: name, slug, type, category, evidenceLevel,
// fdaStatus, wadaBanned, benefits, sideEffects, refs, and more.AI Models for Peptide Research
These are computational references for structure or sequence analysis, not synthesis systems.
AlphaFold 2 / 3
Predicts 3D protein structures from amino acid sequences with near-experimental accuracy, which is useful for peptide folding and receptor-binding interpretation before synthesis.
Access modelProteinMPNN
Protein design neural network that generates amino acid sequences for defined protein backbones and helps with constrained peptide design work.
Access modelRFdiffusion
Diffusion model for de novo protein and peptide design that can generate new backbones before sequence selection.
Access modelESM-2 / ESMFold
Protein language model that predicts structures and exposes sequence embeddings that can be used for stability and function analysis.
Access modelColabFold
Accelerated AlphaFold workflow in Google Colab that reduces the local infrastructure needed for peptide-sized sequence work.
Access modelOmegaFold
Single-sequence structure prediction model that avoids multiple sequence alignments and can be useful for de novo designed sequences.
Access modelLabs Roadmap
The tooling surface is already broader than the landing page styling suggested. This puts the roadmap into the same structured system as the rest of the labs subsite.
Distinct research surface
Labs now reads like its own product area, which is the same direction the stack and shop surfaces should follow when they split into their own sub-sites.
Browse all tools