Save time in creating and collating antibody-specific datasets. Benefit from ready-made data collection pipelines that have fresh and regularly updated datasets. Search for antibodies by sequence, text, or sequence, and get all the search results in one place. Compare parameters and find shared attributes across different databases.
Large database of immunoglobulin sequences for immunological and machine learning applications available outside the NA Platform.
Learn moreNumbers present all sequences (heavy and light chains)
Accelerate your antibody engineering project and streamline your decision-making process. Characterize your antibodies using predictive tools covering a wide range of structural, sequence, and developability prediction applications. Our models verify sequences for whole molecules or for individual residues.
Batch Sequence Annotation module uses four elements that can be used for filtering. These include three generalistic scores calculated directly by our platform 1) liabilities 2) biophysical descriptors and 3) immunogenicity. To account for associated prior experimental knowledge our platform also allows for 4) submission of prior assay/custom predictor values.
Biophysical assays as well as internal prediction scores associated with your sequences.
Predict the Anti Drug Antibody response for your submitted sequences.
Employ sequences and structure-based biophysical descriptors that are correlated with acceptable developability properties.
Remove sequences with a set of undesirable liabilities specific to your organization.
Structure Modeling allows therapeutic antibody lead optimization in the structural context. By having structural predictions and machine-learning based annotation in one place, we facilitate making design decisions on your molecules, leveraging the structural context.
At NaturalAntibody, we developed algorithms that perform docking in antibody-specific fashion. Leveraging our docking solution, we offer visualizations that provide antibody-specific context. Using our docking solution, users can explore the predicted paratopes and epitopes that should facilitate analysis of the possible binding conformations.
Knowing how important the information about the data processed on the platform is, we have made every effort to secure it