Documentation
A complete guide to the platform — evidence methodology, research simulator, bio profile, and safety principles.
What is PepFit and what does it do
PepFit is a peptide research intelligence platform. It aggregates peer-reviewed scientific literature, scores evidence quality, and maps research hypotheses — helping users understand the state of research around specific biological pathways and compounds.
PepFit is not a pharmacy, a medical provider, or a supplement shop. It does not provide dosages, prescriptions, treatment plans, or clinical recommendations of any kind. All outputs are research summaries that require clinician review.
Research Simulator
Build a research hypothesis, select a pathway, and generate an evidence map with a viability score.
Bio Profile
Provide anonymised biological context — goal, activity level, constraints — to focus pathway relevance.
Research Reports
Structured, scored reports with source trails, evidence grades, limitations, and safety flags.
All data on PepFit is sourced from publicly available scientific databases — PubMed, ClinicalTrials.gov, OpenAlex, Europe PMC, and openFDA. No proprietary or unverified sources are used.
How the biological context layer works
The Bio Profile is an anonymous context layer. It does not identify you. It collects a minimal set of biological parameters — age range, height, weight, activity level, research goal, strengths, and constraints — to compute pathway relevance scores.
Physical Context
Age range, height, weight, activity level. Used to compute baseline metabolic and physiological context.
Research Goal
Recovery, Metabolic health, Sleep, or Skin / collagen. Determines the primary pathway focus for evidence mapping.
Strengths
Existing positive factors — consistent training, sleep routine, etc. Increases goal alignment score.
Constraints
Stress, travel, poor sleep, inflammation markers. May trigger safety flags in the research context.
Optional Biomarkers
Not required. Adding quantitative biomarker values (e.g. CRP, HbA1c) increases research precision.
When a goal is selected, PepFit maps it to four biological pathways (Tissue repair, Inflammation, Metabolism, Sleep biology) and assigns relevance percentages. These update in real time as you change your goal, and are displayed as the Pathway Priorities graph in the right panel.
Goal Alignment (High / Moderate / Low) is calculated from the combination of your selected goal and activity level. A high-activity user targeting Recovery scores "High" alignment; a sedentary user targeting the same goal scores "Low / Moderate" — reflecting that lifestyle factors influence research context quality.
The Bio Profile does not store data in any database. All data lives in your browser session only. No body photos, no biometric identifiers, no tracking.
Building and scoring a research hypothesis
The Research Simulator lets you define a research hypothesis in four steps: select a goal, choose a biological pathway, build a candidate set, and configure evidence mode. PepFit then computes a viability score and generates an evidence map.
The viability score (0–100) is computed from three components:
Research Viable
Strong mechanism alignment and adequate human evidence. Still requires clinician review.
Needs Review
Plausible hypothesis with mixed or limited evidence. Additional research recommended.
Insufficient Data
Weak alignment or sparse evidence. Hypothesis requires significant further investigation.
The source trail adapts to the evidence mode you configure. Each source type maps to a specific toggle:
ClinicalTrials.gov
Human context
PubMed Review
Mechanism context
FDA / EMA
Safety context
PubMed Observational
Clinical context
Preclinical context
Mechanism only
Clicking "Export Draft" generates a structured Markdown file containing the hypothesis goal, pathway, candidate set, viability score, metric breakdown, summary text, and source trail. The file is downloaded directly to your browser — nothing is sent to a server.
How studies are classified and scored
PepFit uses a five-tier evidence grading system (A–E) based on the GRADE framework (Grading of Recommendations, Assessment, Development and Evaluations). Each study or data point in the platform is assigned a grade reflecting the quality and type of evidence it represents.
Strong human clinical trial evidence
Randomized controlled trials (RCTs), large prospective cohorts, peer-reviewed meta-analyses with low risk of bias.
Good animal or early human evidence
Phase I/II clinical trials, controlled animal studies with relevance to human physiology.
In vitro or limited animal evidence
Cell culture studies, small or uncontrolled animal models. Mechanistically interesting but not clinically validated.
Theoretical / mechanistic hypothesis
Pathway inference, computational models, expert opinion. No primary experimental data.
Insufficient or conflicting evidence
Studies with contradictory conclusions, methodological flaws, or insufficient primary data.
Evidence grades are displayed on every study card and report. An "A" grade does not imply clinical approval — it indicates the evidence type is the most rigorous available. All grades still require clinician interpretation.
Connecting a wallet and on-chain provenance
PepFit integrates with Ethereum wallets to enable on-chain research provenance, session persistence, and protocol participation. A wallet is not required to browse the platform — only to save research sessions or interact with the protocol.
Click Connect Wallet
The button is in the top-right corner of every page. Clicking it opens the connection modal.
Select your wallet
MetaMask and Coinbase Wallet are supported. Install MetaMask from metamask.io if you don't have a wallet yet.
Approve the connection
Your wallet will ask you to approve the connection to PepFit. No transaction is signed at this step — it is read-only.
Your sessions are now persisted
Research sessions are saved in your browser under your wallet address. They appear in My Research.
When a research report is submitted on-chain via the PepFitResearch contract, the SHA-256 hash of the report and an IPFS URI are stored immutably. This creates tamper-evident provenance — you can prove what you published and when, without relying on any central authority.
Deployed Contracts — Sepolia Testnet
PepFit never asks for your seed phrase or private key. The platform only reads your wallet address to index your local research sessions. No funds are ever moved without an explicit transaction you approve.
ETH staking pool and research fee distribution
PepFit has a protocol-level ETH staking pool. Every on-chain research submission requires a small fee (~0.001 ETH, approximately $2–3). This fee is distributed in real time to all ETH stakers, proportional to their share of the pool.
Fee amount
0.001 ETH per submission (~$2–3). Adjustable by protocol governance.
Destination
100% distributed to active ETH stakers. None goes to the team.
Timing
Distributed instantly at submission time via the accRewardPerShare accumulator.
The protocol uses a standard accumulator pattern (inspired by MasterChef). Each time a research fee is paid, the contract increments accEthRewardPerShare proportionally. Stakers claim the difference between the current accumulator value and their last checkpoint — so rewards never expire and don't need manual distribution.
stakeEth()Deposit ETH. Pending rewards are settled automatically before your stake is updated.
unstakeEth(amount)Withdraw principal. Pending rewards are sent along with the principal in the same transaction.
claimEthRewards()Claim accumulated rewards without touching your stake.
pendingEthReward(address)View function — returns current unclaimed rewards for any address.
Staking is currently live on Sepolia testnet only. Mainnet deployment is pending a full security audit. Do not send real ETH to the Sepolia contract addresses.
Platform boundaries and research-only principles
PepFit is built around a strict research-only mandate. The platform is designed to map scientific hypotheses, not to guide personal use of any compound.
PepFit enforces a controlled research vocabulary. Platform outputs use: "research hypothesis", "candidate set", "evidence map", "source trail", "pathway relevance", "needs review". Terms like "cure", "treat", "take", "stack", "cycle", "protocol", or "guaranteed" are not used in any platform output.
If you have health concerns or are considering any compound for personal use, consult a qualified clinician. PepFit outputs are not a substitute for medical advice.