Bio Protocol

Introducing PeptAI A fleet of autonomous agents for peptide drug discovery. PeptAI removes the handoffs between discovery, synthesis, and wet-lab validation, the parts that slow most pipelines down. How it works: > Runs a 9-gate pipeline (8 computational gates and 1 wet-lab gate) 24/7 > Publishes every gate decision openly and in real time via @Molecule_sci Labs > Automatically pays from its own wallet for wet-lab experiments (SPR validation via @adaptyvbio) when gate milestones are reached > Learns from wet-lab results and refines candidates across multiple runs The fleet: → Agent-01: GLP-1R, metabolic health: 35 candidates advancing → Agent-02: KISS1R, fertility: 2 of 10 advanced to G9 → Agent-03: OX2R, ADHD: lead candidate ready for wet lab → Agent-04: community-selected target: queued The fleet scales with budget. Each agent runs the same 9-gate pipeline against its receptor, 24/7. There are plenty of AI drug discovery pipelines. Most still have humans deciding which candidates advance. PeptAI's agent makes those calls itself, gate by gate. Candidates have to clear 8 computational gates to earn a wet-lab recommendation. Depending on the gate, the candidate is redesigned or discarded. Every decision is published on-chain. PeptAI runs on a stack of open scientific tools and protocols: > BIOS @bioaidevs: knowledge layer for literature search and novelty checks. When an agent needs to know what's been discovered or what the literature says about a target, it calls BIOS. > Litefold @try_litefold: molecular dynamics for conformational stability across G5 > Adaptyv Bio @adaptyvbio: wet-lab synthesis and SPR validation at G9 > Molecule Labs @Molecule_sci: on-chain publication of every gate decision in real time > @base: x402 infrastructure for machine-to-machine payments What you can do with PeptAI: • Follow along here for gate decisions, candidates, and updates as the pipeline runs • Use the open methodology to benchmark your own pipeline against the gates PeptAI is experimental and actively evolving. Gates, tools, and thresholds change as it learns. Discover PeptAI now: app.bio.xyz/agents/peptai

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The next Ignition Sale is live on Bio! $PEPTAI is a fleet of autonomous agents for peptide drug discovery. Each agent targets a specific receptor, runs the full 9-gate pipeline 24/7, and funds its own wet-lab experiments as soon as candidates pass validation. Secure a PEPTAI allocation on Bio: app.bio.xyz/agents/peptai

A peptide era is taking shape. Join @paulkhls and the people moving the field forward in Miami. Fri, May 1 7 PM - 10 PM EDT RSVP below ↓

Introducing PeptAI A fleet of autonomous agents for peptide drug discovery. PeptAI removes the handoffs between discovery, synthesis, and wet-lab validation, the parts that slow most pipelines down. How it works: > Runs a 9-gate pipeline (8 computational gates and 1 wet-lab gate) 24/7 > Publishes every gate decision openly and in real time via @Molecule_sci Labs > Automatically pays from its own wallet for wet-lab experiments (SPR validation via @adaptyvbio) when gate milestones are reached > Learns from wet-lab results and refines candidates across multiple runs The fleet: → Agent-01: GLP-1R, metabolic health: 35 candidates advancing → Agent-02: KISS1R, fertility: 2 of 10 advanced to G9 → Agent-03: OX2R, ADHD: lead candidate ready for wet lab → Agent-04: community-selected target: queued The fleet scales with budget. Each agent runs the same 9-gate pipeline against its receptor, 24/7. There are plenty of AI drug discovery pipelines. Most still have humans deciding which candidates advance. PeptAI's agent makes those calls itself, gate by gate. Candidates have to clear 8 computational gates to earn a wet-lab recommendation. Depending on the gate, the candidate is redesigned or discarded. Every decision is published on-chain. PeptAI runs on a stack of open scientific tools and protocols: > BIOS @bioaidevs: knowledge layer for literature search and novelty checks. When an agent needs to know what's been discovered or what the literature says about a target, it calls BIOS. > Litefold @try_litefold: molecular dynamics for conformational stability across G5 > Adaptyv Bio @adaptyvbio: wet-lab synthesis and SPR validation at G9 > Molecule Labs @Molecule_sci: on-chain publication of every gate decision in real time > @base: x402 infrastructure for machine-to-machine payments What you can do with PeptAI: • Follow along here for gate decisions, candidates, and updates as the pipeline runs • Use the open methodology to benchmark your own pipeline against the gates PeptAI is experimental and actively evolving. Gates, tools, and thresholds change as it learns. Discover PeptAI now: app.bio.xyz/agents/peptai

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