Welcome to CD ComputaBio, where cutting-edge artificial intelligence meets the intricate world of protein development. Our mission is to empower researchers, scientists, and organizations with innovative AI-driven solutions that accelerate the design and optimization of proteins for a wide range of applications, from drug discovery to industrial biotechnology. With a team of experts at the forefront of computational biology and machine learning, we offer a suite of services tailored to meet the evolving needs of the biotech industry.
Proteins are the workhorses of biology, performing diverse functions essential for life. The ability to engineer proteins with specific properties has transformative implications across various industries. Traditional protein development approaches are often time-consuming, costly, and limited by experimental constraints. However, with the advancements in artificial intelligence and computational tools, protein engineering has entered a new era of innovation and efficiency.
Protein Design and Engineering
Protein Structure Modeling Service
GOR is a method based on information theory and Bayesian statistics. The name of the method is a combination of the first letters of the names of three inventors (Garnier, Osguthorpe, Robson). GOR treats the protein sequence as a series of information values.
Protein Property Prediction Service
Our AI-based models enable accurate pH stability predictions, assisting researchers in optimizing conditions for protein expression, purification, and formulation. CD ComputaBio's AI platform has a range of proteins to screen and to determine which are more likely to progress through the development process.
Protein-Protein Interaction Prediction Service
Protein-protein interaction (PPI) may add months or even years to drug development plans. Designing drug discovery programs around new targets or modulating the function of target proteins in unconventional ways can be challenging.
Protein Structure Analysis Service
Protein structural feature analysis service provided by CD ComputaBio including structure classification, hydrogen bond analysis, surface analysis, side chain analysis, three-dimensional structural comparison analysis and structure-based multiple sequence alignment analysis.
Protein Visualization Service
With the power of artificial intelligence, we offer a comprehensive suite of services aimed at enhancing protein visualization, analysis, and interpretation.
| Methods | Descriptions |
|---|---|
| Reinforcement Learning (RL) | Q-Learning Deep Q-Networks (DQN) Policy Gradient Methods (e.g., REINFORCE) Actor-Critic Methods Proximal Policy Optimization (PPO) Deep Deterministic Policy Gradients (DDPG) |
| Unsupervised Learning | K-Means Clustering Hierarchical Clustering DBSCAN Principal Component Analysis (PCA) Independent Component Analysis (ICA) t-SNE |
| Supervised Learning | Linear Regression Logistic Regression Decision Trees Random Forests Support Vector Machines (SVM) K-Nearest Neighbors (KNN) |
At CD ComputaBio, we are committed to delivering actionable results that empower our clients to achieve their scientific and technological goals effectively. Our approach to result delivery is characterized by:
AI-based PPI Analysis Result
Protein Modeling Result
Interactive Data Visualization
CD ComputaBio stands at the forefront of AI-aided protein development, pioneering transformative solutions that catalyze progress in diverse industries and research fields. By harnessing the power of Artificial Intelligence, we empower researchers, pharmaceutical companies, and biotech firms to unlock the full potential of protein engineering and accelerate the development of novel therapeutics, enzymes, and materials. If you are interested in our services or have any questions, please feel free to contact us.
Services