{"id":77001,"title":"Tamarind Bio: No-code bioinformatics for scientists","tagline":"The simplest way for life scientists to use computational tools!","body":"### **TL;DR**\n\nWe allow scientists to use cutting edge computational tools for drug discovery without writing any code. We currently provide protein structure prediction (AlphaFold/ColabFold), molecular docking and protein design resources. And would be excited to learn more what computational tools might be useful for scientists.\n\nWe also provide the infrastructure to use these open-source tools at large scales, including efficiently producing large numbers of protein structures along with protein design pipelines.\n\nCheck out our tools here: [tamarind.bio/app](https://www.tamarind.bio/app)\n\n### The Problem\n\nWhether [AlphaFold](https://www.nature.com/articles/s41586-021-03819-2) for protein structure prediction, [RFdiffusion](https://www.nature.com/articles/s41586-023-06415-8) for binder design or [DiffDock](https://www.mlsb.io/papers_2022/DiffDock_Diffusion_Steps_Twists_and_Turns_for_Molecular_Docking.pdf) for small molecule docking; open source machine tools are massively useful for the life sciences. However, these tools remain inaccessible to the scientists who would benefit most from them, due to lack of technical expertise or in-house computational resources.\n\n### The Solution\n\nInstead of implementing tools yourself:\n\n![uploaded image](/media/?type=post\u0026id=77001\u0026key=user_uploads/1224836/2986e780-9df4-4581-bf7a-3f33686e2668)\n\nUse Tamarind:\n\n![uploaded image](/media/?type=post\u0026id=77001\u0026key=user_uploads/1224836/fe2a2ae7-93c9-47dd-9db9-6c800878a0f1)\n\n[Tamarind](https://www.tamarind.bio) is a website to use the state of the art computational tools in protein design, structure prediction and docking.\n\nWe met as undergrads at Stanford, where we studied Computer Science and conducted research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, hundreds of scientists from institutions including Stanford, Harvard and Oxford regularly use Tamarind to accelerate their work.\n\nNo more Linux terminals or outsourcing computational work, just focus on your science!\n\n### Asks\n\nTry [Tamarind](https://www.tamarind.bio) out!\n\nIf you have or know anyone with the following backgrounds, please get in touch at [founders@tamarind.bio](mailto:founders@tamarind.bio). We’re very excited to learn about your work.\n\n* Scientists in Drug Discovery - industry and academic\n* Computational biologists in Structural Biology\n* Anyone who might benefit from easy to use bioinformatics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated!","slug":"K1x-tamarind-bio-no-code-bioinformatics-for-scientists","created_at":"2023-12-19T23:01:57.000Z","updated_at":"2026-05-25T05:05:46.793Z","total_vote_count":16,"url":"https://www.ycombinator.com/launches/K1x-tamarind-bio-no-code-bioinformatics-for-scientists","share_image_url":"//bookface-static.ycombinator.com/assets/ycdc/yc-og-image-c440a0ad1dacfb86eeeb343717479cc54d256614449b4ef719977a0a451f8bc8.png","company":{"id":29340,"name":"Tamarind Bio","slug":"tamarind-bio","url":"https://www.tamarind.bio","logo":"https://bookface-images.s3.amazonaws.com/small_logos/201884765e11baf051338d72f6f2e7ead2bb1fa1.png","batch":"Winter 2024","industry":"B2B","tags":["AI-powered Drug Discovery","Artificial Intelligence","SaaS","B2B","Biotech"],"search_path":"https://bookface.ycombinator.com/company/29340"}}