Mainframe PriceSN25

What is Mainframe (SN25)?

Mainframe (SN25), formerly known as Protein-Folding, is the first decentralized science (DeSci) subnet on the Bittensor network. It is positioned as a platform for generalized scientific compute, applying decentralized computing power to problems in the life sciences. Its current focus is on simulating protein molecular dynamics via OpenMM and performing protein-ligand docking using DiffDock, two processes that are essential in most drug discovery pipelines. The project aims to serve pharmaceutical companies, researchers, and academics by offering affordable, accessible in-silico experimentation. The subnet is designed to be adaptive to a wide array of computing-based problems in the life sciences, utilizing Bittensor's tokenomics and incentive structure. The total supply of SN25 is 1,271,803 tokens, with a maximum supply of 21,000,000 SN25. The project reports 162,200 proteins folded since launch and a simulation speed of approximately 132,000 nsec/day, representing roughly 17 petaflops.

Key Specifications & Tokenomics

• Name: Mainframe
• Ticker / Symbol: SN25
• Former Name: Protein-Folding
• Subnet: Subnet 25 (SN25) on Bittensor
• Category / Tags: AI & Big Data; Bittensor Ecosystem; Bittensor Subnets
• Total Supply: 1,271,803 SN25
• Max Supply: 21,000,000 SN25
• Circulating Supply (CoinMarketCap static data): 0
• Listed on CoinMarketCap: June 20, 2025
• Official Website: https://www.macrocosmos.ai/sn25
• Mainframe App: https://app.macrocosmos.ai/mainframe
• Mainframe Documentation: https://docs.macrocosmos.ai/subnets/subnet-25-mainframe
• Mainframe API Documentation: https://docs.macrocosmos.ai/developers/api-documentation/sn25-mainframe
• Protein Folding Dashboard: https://www.macrocosmos.ai/sn25/dashboard
• GitHub Repository: https://github.com/macrocosm-os/mainframe
• Explorer: taostats.io
• Community: Discord (discord.com/invite/maYxtBzxAt); X/Twitter (@MacrocosmosAI)

Who created Mainframe?

Mainframe is developed by a team with deep ties to the Bittensor ecosystem. Will Squires serves as Co-Founder and CEO; he is an entrepreneur with experience building AI startups and holds a Master of Engineering degree in civil engineering and sustainability from the University of Warwick. Steffen Cruz is Co-Founder and CTO; he formerly worked at OpenTensor Foundation, the organization behind Bittensor, as their CTO, and is the original architect of Subnet 1, Apex's codebase. Steffen holds a PhD in Experimental Nuclear Physics from the University of British Columbia, Canada. Brian McCrindle is the Subnet Lead and Founding Engineer, responsible for leading subnet design for Mainframe; he formerly worked at OpenTensor Foundation as a Machine Learning Researcher and holds an MASc. in Electrical and Computer Engineering and Computer Vision from McMaster University. Syzmon Fonau is a Senior Machine Learning Engineer working on expanding and refining Subnet 25; he has three years of experience in leadership positions at the Director/C-suite level. The team's background combines expertise in AI, machine learning, and the Bittensor network itself.

How does Mainframe work?

Mainframe operates as Subnet 25 on the Bittensor network, leveraging Bittensor's tokenomics and incentive structure to coordinate decentralized scientific compute. The subnet's core compute methods include protein molecular dynamics simulation via OpenMM and protein-ligand docking using DiffDock. Both processes are essential in most drug discovery pipelines. The design philosophy is to be adaptive to a wide array of computing-based problems in the life sciences, offering affordable solutions through a decentralized, incentivized pool of participants. The project asks whether a decentralized, incentivized pool of people can be used for generalized scientific compute, and the team at Macrocosmos believes it is possible, viewing decentralized and accessible in-silico experimentation as imperative to accelerate science. The repository describes itself as "Generalized Scientific Compute on Bittensor." The open-source repository (github.com/macrocosm-os/mainframe) contains the subnet's neurons, folding pipeline, and installation scripts.

What makes Mainframe unique and valuable?

Mainframe distinguishes itself as the first decentralized science (DeSci) subnet on Bittensor, focusing on creating DeSci technology for pharmaceutical companies, researchers, and academics. Its unique value lies in applying decentralized computing power to protein molecular dynamics and protein-ligand docking, processes essential to drug discovery. The project has demonstrated real-world performance, reporting 162,200 proteins folded since launch, a simulation speed of approximately 132,000 nsec/day, and approximately 17 petaflops, which it describes as about 20% more than Folding@Home. A quoted rationale from the materials (Mann et al. 2025) states: "Rational simulation-guided design of atomic systems has been a dream of researchers across the chemical sciences for decades. Enabling rapid and performant experimentation to experts would unlock massive potential to accelerate chemical science." Mainframe attempts to tackle this challenge. The subnet is designed to be adaptive to a wide array of computing-based problems in the life sciences, utilizing Bittensor's tokenomics and incentive structure to offer affordable solutions. Its partnership with Rowan Scientific, an AI-based chemistry software developer, to build next generation neural network potential (NNPs) models via specialized DFT data generation on Mainframe further strengthens its position. The collaboration was announced by Macrocosmos and Rowan and covered in Forbes, according to the project.

What is Mainframe used for?

Mainframe (SN25) is used to power decentralized scientific compute, specifically for simulating protein molecular dynamics and protein-ligand docking, which are critical steps in drug discovery pipelines. The subnet provides affordable computational solutions for pharmaceutical companies, researchers, and academics. Its product-market-fit spans several customer groups: academia (biochemistry, structural biology, computational chemistry, bioinformatics, or pharmaceutical sciences), governments and non-profit organizations (institutions or national labs focused on health, biotech, or bioinformatics), small labs and startups (small to mid-sized biotech startups looking to outsource or speed up early-stage discovery), contract research organizations (service providers), and pharma and biotech companies (in-house drug discovery teams working on computationally intensive problems). The token itself, SN25, utilizes Bittensor's tokenomics and incentive structure to coordinate and reward participants in the network. SN25 is a Bittensor subnet token; it is coordinated through Bittensor's tokenomics and incentive structure. Trading availability depends on the venues that list it.

How Is the Mainframe ecosystem developing?

The Mainframe ecosystem is developing through live operational milestones, partnerships, and ongoing technical refinement. Since launch, the subnet has folded 162,200 proteins, achieved a simulation speed of approximately 132,000 nsec/day, and reached approximately 17 petaflops, which it describes as about 20% more than Folding@Home. A key partnership is with Rowan Scientific, an AI-based chemistry software developer; together they are building next generation neural network potential (NNPs) models via specialized DFT data generation on Mainframe, helping create more powerful drug discovery tools for researchers and academics. The collaboration was announced by Macrocosmos and Rowan and covered in Forbes, according to the project. The project's GitHub repository shows active development. The subnet's design philosophy emphasizes adaptability to a wide array of computing-based problems in the life sciences, suggesting a roadmap toward broader scientific compute applications. The team continues to expand and refine Subnet 25 to make it more robust and functional. The project is listed among popular tokens on the Bittensor Chain alongside Bittensor (TAO), lium (SN51), Targon (SN4), Score (SN44), templar (SN3), Vanta Network (VANTA), iota (SN9), Gradients (SN56), Ridges AI (SN62), OpenKaito (SN5), and Staking (SN88).

How to mine Mainframe?

Mainframe operates as a subnet on the Bittensor network, which means participation in the network's mining and validation mechanisms is tied to Bittensor's tokenomics and incentive structure. The subnet utilizes a decentralized, incentivized pool of participants to perform generalized scientific compute, specifically protein molecular dynamics simulation via OpenMM and protein-ligand docking using DiffDock. Participants contribute computing power to these tasks and are rewarded through the network's incentive mechanisms. Participation on Subnet 25 follows Bittensor's subnet incentive model: miners contribute compute for protein molecular dynamics and docking tasks, and validators score their outputs; rewards flow through Bittensor's tokenomics. Setup requirements are described in min_compute.yml and the official documentation. Those interested in mining or validating on Subnet 25 should consult the official documentation at https://docs.macrocosmos.ai/subnets/subnet-25-mainframe and the GitHub repository at https://github.com/macrocosm-os/mainframe for setup instructions and requirements.

How to keep your Mainframe Coin safe?

Keeping your Mainframe (SN25) tokens safe requires following standard cryptocurrency security practices. Users should secure their wallet with a strong, unique password and store their secret recovery phrase offline in a secure location, never sharing it with anyone. For long-term storage, consider using a hardware wallet that supports the relevant blockchain and token standards. Always verify contract addresses before interacting with any token. Be cautious of phishing attempts, fake websites, and unsolicited messages claiming to be from the Mainframe or Macrocosmos team. Use official sources only, such as the official website at https://www.macrocosmos.ai/sn25, the Mainframe App at https://app.macrocosmos.ai/mainframe, and the official documentation at https://docs.macrocosmos.ai/subnets/subnet-25-mainframe. Double-check transaction details and gas fees before confirming any transaction. Enable two-factor authentication where available and keep your software and browser extensions up to date. As with any cryptocurrency investment, only invest what you can afford to lose and stay informed about the project's official communications.

Risks and uncertainties

SN25 is subject to the risks common to cryptocurrency and decentralized compute projects. Its price can fluctuate significantly, and the token has traded since June 2025 with substantial price swings. Regulatory treatment of crypto assets and subnet tokens may change across jurisdictions, which could affect access and trading. Technical risks include the reliability of the folding and docking pipelines, dependence on Bittensor's network and tokenomics, and the possibility that the subnet's scientific compute goals are not fully achieved. The project's reported performance figures are self-reported and should be treated as such rather than as independently verified facts.