The three-dimensional structure of proteins plays a crucial role in understanding their function, interactions, and potential as drug targets. With the exponential growth of structural biology data, the need for advanced computational tools for comparing and analyzing protein structures has become increasingly prominent. By employing state-of-the-art algorithms and computational methods, it has become possible to derive invaluable insights into the relationships between protein structures, enabling the identification of druggable binding sites, elucidation of mechanisms of action, and optimization of lead compounds.
At CD ComputaBio, we offer comprehensive protein structure comparison and analysis services that encompass a range of computational techniques, including molecular modeling, molecular dynamics simulations, and structural bioinformatics. Our approach is underpinned by cutting-edge algorithms and software tools, enabling us to deliver precise and actionable insights into protein structure-function relationships.


We employ advanced techniques to identify and characterize binding sites within protein structures, facilitating the exploration of potential ligand binding interactions and the design of novel drug candidates.

Leveraging machine learning models, our algorithm predicts key protein-ligand interactions, binding kinetics, and thermodynamic properties, offering valuable insights for rational drug design.

Our algorithm integrates intuitive visualization tools, enabling users to interactively explore and analyze protein structures, ligand binding modes, and dynamic trajectories, fostering a deeper understanding of molecular interactions.
| Service | Descriptions |
| Protein 3D Structure Comparison | This service focuses on comparing the three-dimensional geometrical shapes of proteins to identify structural similarities and differences. We use different metrics such as RMSD (Root Mean Square Deviation), GDT (Global Distance Test), TM-score, and more for structural alignment, thus providing a detailed comparison report. |
| Protein Structure Analysis | Constituting the backbone of all biological systems, proteins have different structural levels. Our service offers an in-depth analysis of the primary structure (sequence of amino acids), secondary structure (alpha helices, beta sheets, bends, and loops), tertiary structure (3D structure), and quaternary structure (arrangement of subunits), which forms the basis of protein function. |
| Protein Motif Analysis | Our team analyzes recurring, reusable patterns or motifs in protein and identifies their functional and structural roles. This service is invaluable in drug design and drug-target discovery. |
| Analysis of Protein Dynamics | The study of proteins isn’t mere structure analysis, but an understanding of their dynamic nature. Our service looks into conformational changes in proteins that can occur due to binding events, temperature changes, or other environmental factors. |
| Protein 3D Structure Visualization | Seeing helps understanding better. This service assists the researchers to have a better view of protein structure in three-dimensions using appropriate software. |
| Multi-Structure Comparison | We can simultaneously compare multiple protein structures to identify common patterns and variances. |
To initiate a protein structure comparison and analysis project with CD ComputaBio, clients are required to provide high-quality structural data in the form of Protein Data Bank (PDB) files or coordinate files for the proteins of interest. Additionally, any specific details regarding ligands, cofactors, or binding partners should be communicated to ensure comprehensive analysis.
Upon the completion of the analysis, clients will receive a detailed report encompassing the findings, visual representations of structural comparisons, interactive 3D models, and actionable recommendations. Our team of experts is committed to providing clear and insightful interpretations of the results, facilitating informed decision-making in the drug discovery process.
Our team comprises experienced computational biologists, bioinformaticians, and structural biologists with a deep understanding of protein structure analysis and its application to drug discovery.
We leverage cutting-edge algorithms, software tools, and high-performance computing resources to ensure the accuracy and efficiency of our protein structure comparison and analysis services.
Recognizing the diverse needs of our clients, we tailor our services to address specific drug discovery challenges, providing customized analysis and actionable recommendations.
Can CD ComputaBio handle large-scale protein structure comparison and analysis projects efficiently?
Absolutely. Our computational infrastructure and expertise allow us to handle large-scale protein structure comparison and analysis projects with efficiency and precision. Whether it involves comparing multiple protein structures or analyzing extensive datasets, our team is equipped to manage projects of varying scales effectively.
How does CD ComputaBio ensure the reliability and validity of the results obtained from protein structure comparison and analysis?
Reliability and validity are paramount in our work. We ensure the quality of our results through rigorous validation processes, including cross-validation with experimental data, benchmarking against established datasets, and consensus predictions from multiple methodologies.
Do I need to provide any specific data for CD ComputaBio’s Protein Structure Comparison and Analysis Service?
Primarily, we would need the protein sequence for prediction and comparison services. Experimental data, if available, could enhance the accuracy of the analysis. Specific details of the project requirements and expected outcomes could also be useful. However, our team of experts will guide you through the process and ensure that your desired goals are achieved.
Can CD ComputaBio assist with novel protein structure analysis?
Yes, we are equipped to analyze and create novel protein structures. CD ComputaBio's sophisticated techniques allow for de novo prediction, where protein structure is predicted solely based on its amino acid sequence. This allows us to analyze protein sequences for which no structural templates are available, and apply our services in the field of protein engineering.