Antibody Evolution by Artificial Intelligence
Embrace The Future Of Antibody Research
ProMab Biotechnologies now offers a cutting-edge service that combines artificial intelligence and machine learning to drive meaningful advancements in antibody therapeutics. If you are looking to develop a difficult antibody, modify the affinity of an existing antibody, or skip labor-intensive screening, explore ProMab's new antibody generation by AI platform.
- Advanced precision and efficiency
- Speed up drug development research
- Cost-efficient without sacrificing results
- High success rate
How Artificial Intelligence Is Building Better Antibodies
Utilizing a powerful and self-evolving machine learning algorithm coupled with an extensive database of millions of potential antibody and antigen sequence, we've developed a platform that provides high-confidence prediction of potential antibody candidates.
De Novo Antibody Creation by Generative AI
Starting at $60,000
| Development Stage |
Description |
Price |
| Phase I |
Antibody-antigen sequence is subject to an artificial intelligence program (data collection, preprocessing, model training) Produce novel CDR antibody candidate sequences Computational validation to predict stability and potential binding properties Data report and analysis |
$30,000 |
| Phase II |
Identify up to 10 CDR sequences from Phase I to place into the antibody framework Small-scale antibody production in HEK293 Test antibodies by ELISA, compared to parental sequences |
$20,000 |
| Phase III |
Produce the top 2 antibodies identified from Phase II Production and purification of 1mg of each antibody Validation by ELISA and SDS-PAGE |
$10,000 |
| Optional Services |
|
Please Inquire |
How ProMab Can Improve Your Antibody Up To 100x
With over 20 years of experience in antibody development, engineering, and manufacturing, our platform has the seniority and expertise to offer a complete solution for antibody affinity tune-up and antibody affinity maturation to achieve the results you need in your next therapeutic discovery. If you are looking for room for improvement or looking to expand your presence in the same field, subjecting your antibody to the platform will allow you to create many variations and potentials to keep an edge on your competition.
| Major Strategies |
| De Novo Antibody Design |
| Affinity Maturation Simulation |
| Antibody Humanization |
| Epitope Prediction & Paratope Mapping |
| Structure-based Design |
| Library Generation & Screening |
| Data Integration & Analysis |
| Predictive Models for Antibody Properties |
Combining 3D Structure Analysis + Artificial Intelligence
Antibody - Antigen 3D Interactions
Computer modeling software allows us to view the 3D interaction between the antibody scFv and antigen complex. (1) Highlighted in purple are the interaction points and opportunities for mutations. (2) Point mutation and scFv interaction. (3) Point mutation and scFv interaction. (4) Interaction lost after mutation.
Mutations in CDR regions of scFv create a higher binding with antigen
Comparison of multiple mutations as indicated by artificial intelligence software reveals high binding with antigen compared to wild type when tested by SPR and FACS.