Generation of protein sequences using machine learning techniques
US11587645B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2020 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | May 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B20/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Amino acid sequences of antibodies can be generated using a generative adversarial network that includes a first generating component that generates amino acid sequences of antibody light chains and a second generating component generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies can be produced by combining the respective amino acid sequences produced by the first generating component and the second generating component. The training of the first generating component and the second generating component can proceed at different rates. Additionally, the antibody amino acids produced by combining amino acid sequences from the first generating component and the second generating component may be evaluated according to complentarity-determining regions of the antibody amino acid sequences. Training datasets may be produced using amino acid sequences that correspond to antibodies have particular binding affinities with respect to molecules, such as binding affinity with major histocompatibility complex (MHC) molecules.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.