AbGPT
Official repository for AbGPT: De Novo B-Cell Receptor Design via Generative Language Modeling.
Setup
To use AbGPT, install via pip:
pip install abgpt
Command line usage
Full sequence generation
To generate 1000 light chain sequences starting with "QLQL":
abgpt_generate --chain_type light --starting_residue QLQL --num_seqs 1000
To generate a BCR library with 1000 sequences for a number of starting residue (e.g., "QVQL", "EVQL", "VQLV") in the heavy chain:
abgpt_generate --chain_type heavy --starting_residue QVQL,EVQL,VQLV --num_seqs_each_starting_residue 1000
To generate a BCR library with 1000 sequences for a number of starting residue (e.g., "EIVL", "EIVM", "DIQM") in the light chain:
abgpt_generate --chain_type light --starting_residue EIVL,EIVM,DIQM --num_seqs_each_starting_residue 1000
1 maintainer
Metadata
1 maintainer
Release files for abgpt 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| abgpt-0.1.2.tar.gz | 4.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abgpt-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.4 kB
Release files / abgpt-0.1.2.tar.gz
| Download URL | abgpt-0.1.2.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64ecf6ee264c41295dd629b7990b7c0db6834b568d237800e839b8bd39a6028c
|
|
BLAKE2b-256 checksum How to use checksums |
b7723866bfcf6b5dba4dd85cb67293a0658a48006ac35127fa01b0c7c3ef7ffa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.10
|
Release files / abgpt-0.1.2-py3-none-any.whl
| Download URL | abgpt-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e697dd804731eff6fa633e06e5fe33a29c605cdca36a95a03492ea847fbecfe0
|
|
BLAKE2b-256 checksum How to use checksums |
38907a15e437363a9e059a1a20a5854be78acfb00a811097d2bdc7f8b227a5f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.10
|
Security for abgpt 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
