CD ComputaBio understands that each project is unique, and our team tailors the approach to address the specific requirements of our clients, ensuring that the delivered solutions are precisely aligned with their objectives and expectations.
CD ComputaBio is a leading company specializing in cutting-edge computational biology and bioinformatics services. Our focus is on providing advanced in silico solutions, particularly in the area of antibody structural modeling. Using state-of-the-art algorithms and methodologies, we offer comprehensive structural modeling services to help understand the design and optimization of antibodies for a variety of research, diagnostic, and therapeutic applications.
At CD ComputaBio, our in silico antibody structure modeling services include a range of tailored solutions to meet the specific needs of our clients. Our services include
Using the power of computational modeling, we can accurately predict the 3D structure of antibodies based on homology templates, enabling visualization and analysis of key structural features of antibodies.
Figure 1. Antibody Homology Modeling.
We conduct comprehensive antibody-antigen docking studies to elucidate binding mechanisms and predict antibody-antigen complex structures. This helps to understand the molecular basis of recognition and interaction.
Figure 2. Antibody-Antigen Docking. (Guarra F., et al. 2023)
Our services include epitope mapping and paratope analysis, which helps to identify the antigen-binding regions of antibodies and understand the structural determinants of antigen recognition.
We offer specialized modeling services for affinity maturation and antibody engineering, which are critical for improving the binding affinity and specificity of therapeutic and diagnostic antibodies.
We perform structure-based virtual screening using advanced algorithms to identify potential lead compounds or antigens to streamline the drug discovery and development process.
At CD ComputaBio, we utilize a suite of advanced algorithms and sophisticated computational tools to power our antibody structural modeling services.
Ab InitioModeling
Employing ab initio modeling, we predict antibody structures in situations where homologous templates are unavailable, enabling the generation of novel antibody structures from scratch.
Machine Learning-Based Prediction
We integrate machine learning methods to predict antibody-antigen binding interfaces, thereby accelerating the identification of key binding residues and epitopes.
Energy Minimization and Optimization
Through energy minimization and optimization techniques, we refine antibody structures, ensuring optimal atomic interactions and overall stability.
Our team of seasoned professionals with extensive experience in computational biology, structural modeling, and antibody design ensures best-in-class expertise. We understand the uniqueness of each project and design our approach according to our clients' specific goals and constraints. We prioritize the confidentiality and security of our clients' data and adhere to strict data protection measures and best practices. Contact us for more information on our services.
References:
