GenesisL1
CHAIN 29
GenesisL1 is a public Layer 1 where data, machine-learning models, tokenized digital assets and web3 applications become verifiable, programmable and composable. Researchers, developers, institutions and autonomous software can build in one shared environment—from biomedical science, bioinformatics, molecular medicine, in-silico drug discovery and longevity research to AI agents, decentralized applications and new digital institutions.
Exact PDB structures are one example of data becoming a tokenized, model-readable object that applications can verify and compose.
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PROTOCOL / WHITEPAPER
Whitepaper · full overview · open-source protocol stack
This long-form edition preserves the complete molecular, genomic, AI, market, privacy, L1 and scientific-DAO narrative.
Return to concise homepage →︎GenesisL1 already carries one of the largest molecular datasets committed to a public ledger: more than 733,919 tokenized PDB and predicted structures, including a complete snapshot of roughly 229,000 Protein Data Bank entries stored as reconstructable on-chain bytes.
This is not a replacement for the PDB, laboratory evidence or clinical validation. It is a permanent, programmable blockchain reference layer where exact structures, sequences, AI models, predictions and intellectual property can form one inspectable scientific lineage—built for bioinformatics, molecular medicine, fundamental biomedical research, modern in-silico drug discovery and longevity science.
MOLNFT v2 stores complete macromolecular structures as compressed BinaryCIF bytes in contract state. Roughly 229,000 PDB entries—about 50 GB—are reconstructable directly from a GenesisL1 node, while the broader tokenized molecular corpus exceeds 733,919 structures.
Complete structural bytes, canonical citations and permanent token identities make proteins and macromolecules composable inputs. GLAST adds local sequence alignment and metadata search over the on-chain corpus.
Explore molecular infrastructure ↗︎Structure-based screening, protein-stability estimation, molecular-property models, docking, peptide candidates, biomarker pipelines and translational medicine can preserve exact inputs and replayable computation. The ledger verifies lineage—not therapeutic efficacy, clinical validity or safety.
Follow the data-to-model pipeline ↓peptl is being developed for peptide sequence design, protein targeting, molecular docking and early-stage discovery—connecting candidate generation, model outputs, provenance and optionally encrypted IP.
Preview peptl ↗︎GL1ENCv2 canonically encodes DNA, RNA, proteins and symbolic sequences with strict on-chain/off-chain byte parity. SEQNFT and GL1ALIGN extend the specification toward verifiable sequence assets and a planned Human Genome reference on-chain.
Inspect GL1-Seq ↗︎GenesisL1 can preserve the computational chain from exact molecular or genomic input to machine-learning output, tokenized rights and downstream dApps. Laboratory and clinical validation remain the empirical edge where scientific claims are tested.
On top of exact molecular, genomic and tabular inputs, GenesisL1 turns machine-learning models into public scientific instruments. Model bytes, identity, licensing and inference logic can live entirely on-chain, so the same input reaches the same byte-exact output on every node—without a private API, hidden operator or oracle middleman.
A laboratory, government, research infrastructure or downstream application can independently replay the exact model against the exact data and verify what happened. The same mechanism can support protein-property prediction, bioinformatics classification, molecular medicine, quantitative research, AI agents and decentralized application workflows. The ledger proves the computation; science still decides what the result means.
Tokenized PDB structures, canonical sequences, datasets, features and provenance.
MOLNFT / DATASETNFTWeights, format, model hash, license and ownership become one object.
GL1F / ERC-721100% on-chain deterministic integer and fixed-point execution inside smart contracts.
EVM / FOREST RUNTIMEThe exact model, input and output remain linked and independently checkable.
BYTE-EXACT / FINALIZEDLicense, meter, trade or monetize models, results and encrypted IP.
L1 / CIPNFT / MARKETPLACEExact scientific inputs can be pinned by bytes or content hash, tokenized as portable objects and referenced directly by models and downstream applications.
GL1F trains locally, serializes model bytes, mints ERC-721 Model NFTs and executes deterministic inference 100% on-chain inside smart contracts. Models can be free, tipped, subscription-gated or traded as assets.
Open GenesisL1 Forest ↗︎A compact quantized policy network has executed inside the EVM over a 4,672-action space—an existence proof for deterministic learned functions that other contracts can call and observers can replay.
Explore the AI stack ↗︎LLMs, autonomous agents and ordinary programs can run wherever their operators choose and use GL1F as a decentralized model API. They can discover, verify, call, purchase, deploy, tokenize, license, trade and monetize machine-learning models on GenesisL1—while every downstream caller can verify the immutable model commitment, replay inference and settle without trusting a private endpoint.
Agent runtime anywhere · model API and commitment on-chainGovernments, public research infrastructures, laboratories and regulated organizations can pin a model version, pin its input data and rerun the computation from their own node. No single vendor gets the final word over what the model actually returned.
GenesisL1 proves which computation happened. It does not prove that a drug works, a trade will profit or a theory is true. Those remain empirical questions. The ledger makes the evidence, model identity and execution record difficult to fake—so scientific debate can focus on meaning rather than provenance.
Research moves through fragmented databases, private model APIs and incompatible systems. GenesisL1 turns provenance, tokenization, deterministic computation, ownership and native settlement into shared public infrastructure.
Tokenize datasets, PDB structures, machine-learning models and encrypted IP. Run models over exact inputs, preserve the model–input–output lineage, program access and L1-denominated incentives, and compose new applications around portable scientific objects.
Make datasets, structures, benchmarks and models addressable, citable and programmable without pretending that a token owns a scientific fact.
Store model bytes, execute fixed-point inference inside smart contracts and let any node replay the exact result—without a SaaS endpoint or oracle middleman.
Combine governed public infrastructure with encrypted scientific assets, selective disclosure and independently verifiable computation across institutional boundaries.
One neutral Layer 1 ledger. Many disciplines. Every field keeps its specialized tools while sharing exact inputs, model identities, replayable outputs and tokenized scientific artifacts across an open web3 substrate.
Molecular medicine · Bioinformatics · Genomics · Peptide science · In-silico drug discovery · Longevity research
Model NFTs, deterministic inference, neural-policy proofs, benchmarkable results and agent-driven scientific workflows.
Structures, simulations, measurements and computational experiments.
Remote sensing, environmental datasets and public scientific infrastructure.
Mathematics · Epidemiology · Neuroscience · Robotics · Astronomy
GenesisL1 provides one provenance and settlement layer for tokenized datasets, complete PDB structures, canonical genomic and protein sequences, peptide and drug-discovery artifacts, Model NFTs, inference access, intellectual property and research outcomes. A model can carry its exact bytes, benchmark history, license, pricing mode and revenue trail; AI agents, laboratories and future scientific DAOs can call it directly, while L1 coin settles gas, subscriptions, royalties, escrow, grants and treasury flows with the same finality as the scientific record.
Create web3-native venues for tokenized dataset access, molecular IP, model licenses, compute credits and other verifiable research rights—with programmable terms, royalties, provenance and L1-native settlement.
Mint model weights as transferable Model NFTs, publish free or paid inference, sell subscriptions, route royalties and let other contracts compose the model as a verifiable research primitive.
Build reproducible signal pipelines, risk models, alternative-data products and forecasting agents where model identity, inputs and benchmark history travel with every prediction.
Program L1-denominated research bounties, milestone escrows, model-evaluation markets, outcome-linked grants and community treasuries around transparent rules and replayable evidence.
Applications can encode identity, permissions, review status, jurisdictional controls and audit requirements. Sensitive data can remain off-chain; model bytes, rights, proofs, versions, inference events and settlement can remain independently verifiable. Models can still be wrong—the ledger proves what ran, not whether the prediction is true or profitable.
PROVENANCE BEFORE PRICE. EVIDENCE BEFORE CLAIMS.L1 coin is the native utility cryptocurrency and functional backbone of GenesisL1. It pays for data storage, Model NFT deployment, deterministic inference and every EVM (Ethereum Virtual Machine) transaction; it secures the ledger through staking, weights governance, and settles access, licenses and exchange across GenesisL1 dApps and scientific markets.
All native L1 supply exists in public on-chain circulation, with no issuer reserve or private allocation.
100% distributed outward to the community since network start, with the bootstrap account retaining no allocation.
Powers the network by paying for EVM (Ethereum Virtual Machine) transactions, storage and execution fees.
Secures consensus, validates blocks, and finalizes the ledger state.
Enables on-chain governance and community-driven protocol upgrades.
The medium of exchange across every GenesisL1 dApp, protocol, and application.
A perpetual public-goods treasury funds the ledger, open infrastructure, dApps, protocols, audits and scientific applications.
Supports tokenized data, Model NFTs, inference, intellectual property and settlement across the scientific economy.
of each block’s inflationary L1 issuance is routed automatically to the community pool.
The on-chain community pool has existed since network start and is replenished every block. Under the current governance-set parameters, 20% of new L1 issuance flows to the pool, alongside eligible fee allocations, slashed stake and direct donations—creating a perpetual budget for the public ledger, open molecular and genomic data, reference models, audits, scientific dApps, future DAO grants and other shared infrastructure.
Funds can move only through public on-chain proposals. Every bonded L1 staker can participate in voting, including independently of the validator to which they delegate. Planned scientific DAOs will be able to submit transparent grant requests with public objectives, budgets and milestones.
All native L1 supply is visible in public on-chain circulation; there is no issuer reserve or private allocation.
The bootstrap account distributed supply outward to the community and retained no allocation.
A single native utility asset for data storage, model deployment, inference, governance, staking, settlement, public-goods funding and scientific application exchange.
GenesisL1 brings the record and the computation into the same public state. Tokenized PDB structures, canonical sequences and datasets can feed Model NFTs; deterministic inference produces replayable results; licenses, payments, confidential IP and future DAO decisions can attach to the same lineage. Native EVM (Ethereum Virtual Machine) execution preserves familiar Solidity and JSON-RPC workflows, while L1 coin prices computation and secures the ledger.
01 science.infer({
02 input: "MOLNFT/PDB:1CRN",
03 model: "GL1F:0x9af3…7c2d",
04 runtime: "ForestRuntime",
05 output: "scoreQ:866113",
06 modelHash: "0x41b…e90",
07 feeAsset: "L1",
08 replayable: true
09 });Represent a dataset, PDB structure, benchmark or feature set as an exact, portable scientific object.
Commit model weights, runtime parameters, license and identity as a content-addressed Model NFT.
Execute fixed-point or quantized model logic inside the ledger, with the call and settlement finalized together.
Let institutions verify the output independently, then attach access, royalties, encrypted IP or downstream application logic.
CIPNFT is live on GenesisL1 mainnet, bringing confidential scientific assets on-chain without placing plaintext on a server. Payloads are encrypted locally, ciphertext is stored fully on-chain, and decryption capability follows an owner-bound envelope.
Explore CIPNFTResearch data, model weights or intellectual property can be anchored as durable ciphertext rather than a URL controlled by a custodian.
An optional NIST-standardized post-quantum envelope protects the data-encryption key against long-horizon “store now, decrypt later” risk.
The seller delivers a buyer-specific envelope first; the buyer verifies locally before ownership transfers and escrow is released.
Post-quantum protection is available for selected CIPNFT application-layer envelopes. This is not a claim that every key or consensus primitive of the entire ledger is quantum-proof.
GenesisL1 is planning an advanced scientific-DAO environment where an existing community can onboard its work—or a new research organization can be created from first principles—using the chain as far more than a monetary layer.
A DAO will be able to govern data, molecular collections, Model NFTs and confidential IP; deploy or integrate protocols; raise and manage funds; run milestone grants; apply for L1 community-pool funding; and maintain an auditable record of decisions, computation and scientific assets.
Raise and hold L1 or compatible assets, publish budgets, stream milestone payments, vote on allocations and apply to the governance-controlled L1 community pool for public-goods grants.
Raise, custody, budget and stream funds under public rules, with milestone releases, bounties and transparent accounting.
Configure membership, voting, working groups, permissions, reviewer roles and contribution records for each scientific community.
Own MOLNFT collections, datasets, Model NFTs, benchmark records and CIPNFT-protected intellectual property inside one public organization.
Deploy new dApps and protocol modules, call on-chain inference, publish reproducible workflows and connect computational results to decisions.
Prepare transparent proposals for L1 public-goods funding and let bonded stakers evaluate objectives, budgets, milestones and public benefit.
Integrate any compatible on-chain primitive—from token standards and escrow to molecular data, AI runtimes, wallets and external DAO systems.
Curate data, fund reference mints, maintain schemas and publish community-approved models.
Coordinate peptide, molecular-medicine, drug-discovery or longevity programs while protecting pre-publication IP where needed.
Retain existing governance while adding GenesisL1 data, model, IP, grant and settlement primitives.
The DAO engine is a roadmap direction. Exact modules, security assumptions, launch sequence and governance parameters remain subject to development, testing, independent review and community approval.
Read the DAO and governance framingTokenize scientific artifacts, publish exact inputs, cite Model NFTs and create results that remain reproducible beyond one notebook, API or institution.
Train locally, deploy deterministic models, monetize inference or model ownership, and let any contract or agent call the result through a public runtime.
Run independent nodes, pin exact model versions and rerun decisions from the same inputs—verifying outputs without trusting a single vendor or model operator.
Discover Model NFTs, buy access, call inference and settle in L1. The agent can live anywhere; its model dependencies and commitments remain public and verifiable.
Bring an existing organization into the protocol stack or prepare a new research institution around transparent treasuries, assets, models, IP, grants and public milestones. The dedicated DAO engine is planned and not yet live.
Explore a connected scientific stack: complete PDB structures and datasets as model-readable inputs; deterministic Model NFTs; encrypted post-quantum-capable intellectual property; peptide and genomic infrastructure in development; and a planned scientific-DAO engine for turning those primitives into durable public institutions.
View the complete ecosystemExplore Protein Data Bank structures tokenized as verifiable scientific assets. The wider MOLNFT corpus spans more than 733,000 PDB and predicted molecular structures.
Tokenized datasets and open decentralized-science resources.
Train locally, mint model weights as ERC-721 Model NFTs and run deterministic smart-contract inference—open, tipped, subscription-gated or traded, with no SaaS or oracle in the execution path.
Tokenize confidential intellectual property as fully on-chain ciphertext with owner-bound envelopes, buyer-safe escrow and optional ML-KEM-768 post-quantum key protection.
Inspect blocks, transactions, validators, smart contracts and tokenized scientific artifacts across the EVM and native ledger views.
Peptide design, protein targeting, molecular docking and early-stage discovery workflows.
Preview laboratory ↗︎ IN PROGRESS / GENOMICSCanonical sequence encoding, SEQNFT, GL1ALIGN and the planned Human Genome reference.
Inspect specification ↗︎ PLANNED / INSTITUTIONSTreasuries, grants, assets, protocols, contributors and public scientific governance.
Explore roadmap ↑Move from exact data to deployed model, deterministic result, protected intellectual property and community-governed application on infrastructure no single operator owns.