Thinktica

Introducing Thinktica: the engine for autonomous scientific research.

@ProfBuehlerMIT Amazing job congrats!

The next frontier in protein design will not be defined by structure alone, but by the capacity to engineer motion as a first-class principle of function. This is because dynamics is where the real biology lives. Foundational work by Karplus, Levitt & Warshel made clear that chemistry cannot be understood without motion, mechanism, and scale. Gō, Brooks & others showed that proteins possess characteristic collective motions - low-frequency normal modes that capture how whole molecules bend, breathe, and fluctuate. Frauenfelder then sharpened the picture further: proteins are not static objects occupying a single minimum, but dynamic ensembles traversing rugged energy landscapes. And yet the modern AI revolution in protein science has been, above all, a revolution in structure. In our new paper in Matter, @_Bo_Ni and I ask a different question: not what structure will this sequence adopt? but what sequence will realize a prescribed pattern of motion? VibeGen inverts the conventional design paradigm. Rather than treating dynamics as a consequence to be analyzed after the fact, it makes dynamics the design objective from the outset. Using a language diffusion model with two cooperating agents - a designer that proposes sequences and a predictor that critiques them against the target motion profile - the system converges on de novo proteins with tailored vibrational behavior. One of the most intriguing results is a form of functional degeneracy - distinct sequences and distinct folds can satisfy the same target dynamical specification. For a given functional pattern of motion, evolution may have sampled only a small region of the physically realizable design space. The space of viable molecular mechanics may be far larger than the repertoire biology happened to discover. We have made "vibe" into a cultural metaphor - something intuitive, affective, subjective. But at the molecular scale, vibe is not metaphor: It is physics. For a protein, the vibe is the pattern of motion itself; the fluctuations, resonances, and collective displacements that determine what the molecule can do.

Research domains are now available on Thinktica! 7 different research domains are now live: biomedical · computer science · physical sciences · legal · market intelligence · social sciences · generic

Big update in process! New sources are coming to Thinktica! arXiv, bioRxiv, pubMed, perplexity, Semantic Scholar and much more! The release will be made this week, we'll keep you updated 🚀

@shelbynewsad Thanks! DMs are open, happy to chat about what we're building

@ThinkticaAI This is great! Trying to DM to learn more!

The first AI system that conducts scientific research autonomously 24/7 just found something remarkable. 4 genes independently evolved to extend lifespan in every long-lived mammal studied. Same pattern in 61 plant species. Full paper: zenodo.org/records/194656… The science 👇

This is just the beginning. Any research question. Any scientific domain. Stay tuned: @ThinkticaAI autonomous deep scientific research.

The paper doesn't just review, it predicts. 3 testable predictions with explicit falsification criteria: → CREBBP editing → ≥20% expression increase → 15-25% cellular lifespan extension → BALL nanoparticles → ≥20% in vivo gene editing efficiency in mice → ≥50 conserved epigenetic sites across 5+ mammalian species If these hold, convergent evolution just handed us a longevity drug pipeline.

@julian_englert @tamarindbio @phylo_bio That's amazing! Thank you @julian_englert for making this! We'll definitely integrate this into Thinktica, the first platform for 24/7 scientific research. We hope we'll become your biggest clients :)

@tamarindbio @phylo_bio Read more: adaptyvbio.com/blog/adaptyv-a…

We're officially releasing the Adaptyv API, which gives you and your AI agents access to our wet-lab to test your proteins experimentally! • Check out our demo and the docs here: agents.adaptyvbio.com • Check out how our partners @tamarindbio and @phylo_bio have integrated the Adaptyv API into their platforms We started Adaptyv with the idea that anyone should be able to test a designed protein, whether they have their own lab or not. Over the past three years we've tested tens of thousands of proteins from pharmas, AI for protein design companies, academic labs, alongside dozens of early-stage startups and individual researchers. Until now, all of that went through our Foundry portal or also email threads and Slack channels. We think the process of testing a designed protein should be as simple as calling an endpoint, so we built an API around the same infrastructure those teams already use, to make everything as accessible as possible. As AI agents will do more and more scientific work, it's important to give them the tools to access real-world experimental validation. To put it simply: AI can think but it cannot touch - we're giving AI access to the lab to validate experimental hypotheses.

Last week the world knew that @paul_conyngham sequenced his dog Rosie's genome and spent countless hours prompting ChatGPT, Gemini, Grok, and AlphaFold to design a personalized mRNA vaccine. The result? Her tumor shrank drastically, and she's back to running around. Even Sam Altman @sama called it an "amazing story" of how AI empowers individuals to act with the power of a research institute: x.com/sama/status/20… It's a powerful example of dedication. But what if you didn't have to spend weeks manually prompting different AIs, piecing together research, and verifying every claim yourself? One word: Thinktica thinktica.com @ThinkticaAI is an autonomous scientific research engine that does the heavy lifting for you. You ask one complex question, like finding a cross-disciplinary treatment for a specific genetic mutation and it runs for hours, building a deep, fully traceable knowledge graph. It decomposes your question, pursues every lead autonomously, and bridges fields like biology and materials science to find connections no single expert would see. Every finding is verified, every claim is traced to evidence, and there are no black boxes. Paul's story shows the raw potential of AI in medical research. Thinktica is the infrastructure that makes this level of deep, verifiable discovery accessible to EVERYONE! You set it going before bed. By morning, you have a fully traced research paper. With this step we're removing the ceiling on what one person can investigate. And best of all, Thinktica is powered by @eticaprotocol a decentralized blockchain network designed to fund and reward open-source medical research without intellectual property barriers creating a true revolutionary approach how medical research in the future will be made. Early access is open now. What will you discover? #AI #MedicalResearch #DeSci $ETI

@AfScientistHub Thanks! Looking forward to it

@ThinkticaAI Great update, We'd like to test run some of our hypothesis.

Introducing Thinktica: the engine for autonomous scientific research.

Thinktica is a new type of research infrastructure for scientists who push boundaries, designed to find what hasn't been found yet. Early access on our official website

We're not replacing researchers. We're unlocking research that was previously impossible, too broad, too deep, too cross-disciplinary for any single team. We're removing the ceiling on what one scientist can investigate: deeper questions, broader connections, bolder ambitions.