AI-Driven Enzyme Discovery and Function Prediction Services

CD Biosynsis pioneers the use of Artificial Intelligence (AI) and deep learning models to revolutionize enzyme discovery. Our AI-Driven Enzyme Discovery Services enable the rapid and efficient identification of novel biocatalysts from massive genomic, transcriptomic, and metagenomic datasets. By leveraging proprietary algorithms, we move beyond traditional homology-based screening to predict enzyme function, stability, and catalytic efficiency directly from sequence and structural information. This accelerated approach significantly reduces the experimental burden, delivering high-potential enzyme candidates with enhanced properties for applications in chemical synthesis, biotechnology, and environmental remediation. Our services integrate Deep Learning-Based Sequence Mining, Structure-Based Function Prediction, and AI-Guided Metagenomic Analysis for unparalleled discovery power.

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Unlocking Novel Biocatalysts from Vast Biological Data

Traditional enzyme discovery is resource-intensive and often limited to known sequences or culturable organisms. Our AI platform overcomes these barriers by processing terabytes of sequence data, including environmental metagenomes, to find enzymes with desired activities and stabilities. The deep learning models are trained on rich datasets of enzyme kinetics, protein structures, and reaction mechanisms, allowing them to predict catalytic function and identify "dark matter" enzymes—those with no known homologs but high potential. This predictive power means we can quickly prioritize candidates for wet-lab validation, leading directly to novel, application-ready biocatalysts, or informing subsequent Enzyme Engineering strategies.

AI-Enhanced Discovery and Predictive Genomics

Sequence Analysis and Mining Function and Property Prediction Metagenomic and Structural Integration

Data-Driven Candidate Identification

Scanning Sequence Space for Novelty

Deep Learning-Based Sequence Mining Service

Utilization of neural networks (e.g., recurrent and convolutional architectures) to rapidly classify and cluster enzyme sequences based on catalytic domains and family.

Sequence Feature Extraction

Identification of key sequence signatures, motifs, and evolutionary conservation patterns related to specific catalytic mechanisms or stability features.

Diversity Assessment

Categorizing potential enzyme candidates based on their novelty relative to known, characterized enzymes to focus on truly unique biocatalysts.

Predictive Modeling for Function

In Silico Characterization of Potential

Structure-Based Function Prediction Service

Predicting the three-dimensional structure of enzyme candidates and using the resulting active site geometry to infer specific substrate preference and reaction type.

Stability and $\text{pH}$ Prediction

AI models predict key physiochemical properties, such as thermal denaturation temperature and optimal $\text{pH}$, crucial for industrial feasibility.

Substrate Specificity Scoring

Computational docking and machine learning algorithms score potential substrates against the predicted active site to prioritize candidates.

Novelty from Environmental Sources

Metagenomics for Undiscovered Diversity

AI-Guided Metagenomic Analysis Service

Applying machine learning to environmental DNA data to rapidly filter out low-potential genes and focus on novel functional families.

Pathway Context Prediction

Identifying the genomic context (neighboring genes) of a novel enzyme to infer its natural metabolic role and potential synergy in a pathway.

Gene Synthesis and Cloning

Delivery of the top-ranking, codon-optimized enzyme genes, ready for expression and wet-lab validation (see E. coli Protein Expression & Purification).

AI-Driven Enzyme Discovery Pipeline

A smart, rapid funnel from Big Data to Biocatalyst.

Data Acquisition & Deep Mining

Function Prediction & Scoring

Candidate Prioritization

Synthesis and Delivery

Data Curation: Integration of client data, public databases, and metagenomic sources.

Deep Learning-Based Sequence Mining Service: AI models scan and classify millions of sequences based on functional motifs.

Structure-Based Function Prediction Service: Predict 3D structure and active site for scoring.

Property Prediction: In silico prediction of kcat, Km, thermostability, and optimal $\text{pH}$.

AI-Guided Metagenomic Analysis Service: Filtering by novelty, stability, and predicted activity to create a short-list.

Expert Review: Final selection of top candidates by experienced bioinformaticians.

Gene Synthesis: Codon-optimization and synthesis of the top enzyme genes.
Cloning and QC: Insertion into expression vectors and delivery of the final constructs.
Post-Delivery Support: Guidance for wet-lab expression and initial validation.

Accelerating Discovery with Computational Power

Unprecedented Scale

Analyzes millions of sequences, including environmental dark matter, far exceeding traditional screening limits.

Predictive Accuracy

AI models accurately predict function, stability, and kinetics, prioritizing high-value candidates immediately.

Novelty Focus

Specifically designed to identify novel enzyme scaffolds that traditional homology searches fail to detect.

Accelerated Time-to-Market

Reduces years of random screening into weeks of computational analysis, accelerating enzyme commercialization.

Client Testimonials on AI-Driven Enzyme Discovery

"The AI-Driven Enzyme Discovery Service drastically reduced our lead identification time from six months to just one month. The candidates delivered were highly novel and showed predicted activity."

Dr. Samuel Liu, R&D Director

"Their Structure-Based Function Prediction Service accurately identified an enzyme with high specificity for our target chiral molecule, which was completely missed by traditional BLAST searches."

Ms. Janet Chen, Lead Bioengineer

"We leveraged their AI-Guided Metagenomic Analysis to find thermostable enzymes from extreme environments. The prediction of thermal stability was remarkably accurate, saving significant lab time."

Dr. Kenji Tanaka, Principal Scientist

"The deep learning sequence mining gave us access to a new family of biocatalysts. It's a game-changer for finding enzymes with non-canonical functions."

Mr. Alex Johnson, Research Manager

"The final gene constructs were delivered quickly and were perfectly codon-optimized. The seamless transition from computation to wet-lab validation was a huge advantage."

Dr. Maria Gomez, Group Leader

FAQs about AI-Driven Enzyme Discovery Services

Still have questions?

What data sources does the AI platform analyze?

The platform analyzes public and proprietary genomic, transcriptomic, and proteomic databases, as well as complex metagenomic datasets from various environmental samples.

How does Deep Learning-Based Sequence Mining work?

It uses advanced neural networks to learn complex relationships between enzyme sequence data and known function, allowing it to predict the function of uncharacterized or novel sequences with high accuracy.

Can the AI predict enzyme stability?

Yes. Our models, including the Structure-Based Function Prediction Service, analyze sequence features and predicted structure to accurately estimate thermal and chemical stability, guiding the selection of robust candidates.

What is the advantage of AI-Guided Metagenomic Analysis?

The AI-Guided Metagenomic Analysis Service efficiently filters massive, complex environmental datasets, rapidly pointing to novel genes with desired functions (e.g., cold or heat tolerance) that would be impossible to find via culturing or simple homology searches.

How much does Metabolic Engineering services cost?

The cost of Metabolic Engineering services depends on the project scope, complexity of the target compound, the host organism chosen, and the required yield optimization. We provide customized quotes after a detailed discussion of your specific research objectives.

Do your engineered strains meet regulatory standards?

We adhere to high quality control standards in all strain construction and optimization processes. While we do not handle final regulatory approval, our detailed documentation and compliance with best laboratory practices ensure your engineered strains are prepared for necessary regulatory filings (e.g., GRAS, FDA).

What to look for when selecting the best gene editing service?

We provide various gene editing services such as CRISPR-sgRNA library generation, stable transformation cell line generation, gene knockout cell line generation, and gene point mutation cell line generation. Users are free to select the type of service that suits their research.

Does gene editing allow customisability?

Yes, we offer very customised gene editing solutions such as AAV vector capsid directed evolution, mRNA vector gene delivery, library creation, promoter evolution and screening, etc.

What is the process for keeping data private and confidential?

We adhere to the data privacy policy completely, and all customer data and experimental data are kept confidential.