Our Suite of Enzyme Engineering Solutions
Leveraging cutting-edge computational biology and AI to accelerate your research and development.
Step into the future of biocatalysis with GENESIS™, our transformative enzyme re-engineering platform. When incremental changes aren't enough, GENESIS™ employs cutting-edge generative AI and deep learning models to design enzymes with fundamentally new capabilities. Whether you aim to alter substrate specificity to accept novel feedstocks, introduce a completely new catalytic reaction, or create enzymes for challenging new-to-nature applications, GENESIS™ provides the innovative computational power to redesign enzymes from the ground up.
Key Benefits & Features:
- Substrate Specificity Switching: Computationally redesign active sites to recognize and process new substrates.
- Novel Activity Design: Engineer enzymes to perform desired chemical transformations not found in nature or your current biocatalyst.
- De Novo Design Approaches: Explore entirely new protein folds and active site configurations for specific functions.
- Expanded Chemical Space: Create biocatalysts for previously inaccessible chemical reactions.
Ideal for: Developing enzymes for novel pharmaceuticals, sustainable chemical synthesis, or innovative bioremediation solutions.
Embarking on an enzyme engineering project or facing a challenging hurdle? Our expert consultation service offers you direct access to seasoned computational biologists and enzyme engineering specialists. We provide tailored strategic advice, from initial project scoping and feasibility assessment to troubleshooting experimental roadblocks and optimizing your R&D pipeline. Whether you're exploring AI integration, navigating design challenges, or seeking an independent review of your strategy, we're here to help you make informed decisions and accelerate your enzyme development efforts.
Key Benefits & Features:
- Objective Expert Insights: Gain an unbiased, expert perspective on your project.
- Problem-Solving: Collaborative troubleshooting for complex enzyme engineering challenges.
- Strategic Planning: Guidance on project design, technology selection, and risk mitigation.
- AI Integration Strategy: Advice on how to best leverage computational tools and AI in your workflow.
- Flexible Engagement: Available for one-off consultations or ongoing advisory roles.
Need to run a specific computational analysis for your enzyme project? Our On-Demand Tools & Expertise service provides access to a suite of advanced computational biology tools, operated by our skilled scientists. Whether you require a focused molecular docking campaign to assess ligand binding, molecular dynamics simulations to understand enzyme flexibility, in-depth sequence alignments, or advanced structural analysis, we can deliver high-quality results quickly and efficiently. Get the specific computational insights you need, without the overhead of software licensing or dedicated in-house expertise.
Key Benefits & Features:
- Targeted Analyses: Pay only for the specific computational tasks you need.
- Expert Execution: Our scientists ensure proper setup, execution, and interpretation of results.
- Access to Specialized Software: Utilize advanced tools without direct investment.
- Quick Turnaround: Efficiently conduct campaigns for docking, simulations, etc.
Ideal for: Academic labs, biotech startups, and R&D teams needing specific computational support.
In modern biotechnology, data is paramount. We specialize in building secure, scalable, and efficient cloud-based data infrastructure and Machine Learning Operations (MLOps) pipelines specifically for life sciences organizations. From managing vast genomic and experimental datasets to deploying and monitoring predictive AI/ML models, our expertise helps you harness the full power of your data. Let us build the robust digital backbone your research deserves, enabling faster insights, reproducible results, and seamless collaboration.
Key Benefits & Features:
- Scalable Cloud Data Platforms: Custom solutions for managing diverse biological datasets (genomics, proteomics, experimental).
- Streamlined MLOps Pipelines: Efficient workflows for training, deploying, and managing machine learning models in a regulated environment.
- Data Integrity & Security: Ensuring your valuable research data is well-protected and compliant.
- Improved Collaboration: Centralized data access and standardized workflows for research teams.
- Focus on Your Science: We handle the complexities of data infrastructure and MLOps, so you can focus on discovery.