# Tamarind Bio Infrastructure d’IA pour la biologie computationnelle et la R&D biotech - Findings24: - Site web: - Tarifs: Freemium - Catégories: Constructeur d'Apps IA, Outils Dev IA, Assistant de recherche IA ## Qu'est-ce que Tamarind Bio ? Tamarind Bio is an AI infrastructure platform for computational biology and biotech R&D. It gives researchers access to published models and workflows for designing and scoring proteins, peptides, small molecules, antibodies, enzymes, and related molecules. The site positions the product as a no-code web platform with API access, aimed at users who want to run established tools such as AlphaFold, RFdiffusion, ProteinMPNN, and GROMACS without managing deployment, parallelization, or GPU infrastructure themselves. ## Que peut faire Tamarind Bio ? ### No-code and API access Run published computational biology models through a web interface or programmatic API, without setting up the underlying infrastructure yourself. ### Broad model library Access a large catalog of tools, including AlphaFold, RFdiffusion, ProteinMPNN, GROMACS, and many other models mentioned on the site. ### Multi-stage R&D workflows Use the platform for structure prediction, binder design, sequence optimization, and docking across proteins, peptides, enzymes, antibodies, and small molecules. ### High-throughput execution Scale jobs across large input sets while Tamarind handles parallelization and GPU orchestration on your behalf. ### Security and data ownership Keep work isolated in a secure cloud environment, with the site stating that users own their inputs and derivatives and that the platform is SOC 2 compliant. ### Commercial and enterprise controls Choose between commercial tiers with features such as open API access, admin controls, custom model hosting, custom security audits, SLA agreements, and SAML SSO depending on plan. ## Cas d'utilisation ### Protein structure prediction Predict monomer or multimer protein structures with AlphaFold, including workflows that need scalable structure prediction across many sequences. ### Antibody discovery Design and optimize antibodies, nanobodies, and mini proteins by generating binders, redesigning CDRs, and predicting antibody-antigen complexes. ### Molecule and protein engineering Generate or refine peptides, enzymes, and small molecules using published models for design, scoring, and sequence optimization. ### High-throughput screening and scoring Run large computational batches without managing GPU orchestration or parallelization yourself, which is useful for teams processing hundreds of thousands of inputs. ### Research workflow integration Use the platform’s web interface or API to fit published models into an existing R&D workflow, including downstream analysis and custom pipelines. ## Questions fréquentes ### How do users run jobs on Tamarind Bio? Tamarind Bio provides a no-code web interface and a programmatic API for running computational biology tools. The source also says users can access the platform through the web interface or API, depending on their workflow. ### What kinds of computational biology tasks does it support? The source describes support for design and analysis workflows involving proteins, peptides, small molecules, antibodies, enzymes, and other molecules. It highlights published tools such as AlphaFold, RFdiffusion, ProteinMPNN, and GROMACS. ### Does Tamarind Bio offer different plans? The pricing page lists Free, Premium, and Enterprise plans, and an extended Academic Plan for university, government, or non-profit email addresses. The site also says pricing details can be discussed by booking a call. ### How does Tamarind Bio handle data and access control? The site states that data and intellectual property remain owned by the user, with isolated computations and SOC 2 compliant secure cloud hosting mentioned on the home page. For organization-specific access and enterprise needs, the site also references org-wide admin controls and SAML SSO on higher tiers. ### Is Tamarind Bio suitable for antibody discovery? The antibody page highlights structure prediction, binder design, CDR redesign, and docking for antibody discovery workflows. That makes it a fit for teams working on antibody and nanobody engineering. ## Informations rapides - **Category**: AI infrastructure for biotech R&D - **Platform**: Web interface and API - **Primary users**: Academics, individual scientists, biotech teams, and enterprises - **Core workflows**: Structure prediction, design, docking, and optimization - **Pricing**: Free, Premium, Enterprise, and Academic plan options are listed - **Source domain**: tamarind.bio