From 8c407515c3274adc3651348389e383027b651ada Mon Sep 17 00:00:00 2001 From: Nathan Frey Date: Tue, 21 May 2024 11:45:44 -0400 Subject: [PATCH] updates --- .github/workflows/ci.yml | 2 +- .github/workflows/docs-pages.yml | 2 +- .github/workflows/push_main.yml | 100 + .gitignore | 2 + LICENSE | 222 +- README.md | 93 +- assets/lobster.jpeg | Bin 207180 -> 0 bytes assets/lobster.png | Bin 0 -> 872411 bytes env.yml | 1 - .../01-lobster-fold-checkpoint.ipynb | 470 +++ .../02-3d-lobster-checkpoint.ipynb | 397 ++ .../03-gemini-checkpoint.ipynb | 430 +++ .../04-lobster-llama-encoder-checkpoint.ipynb | 266 ++ ...ft-and-score-humanization-checkpoint.ipynb | 1700 +++++++++ notebooks/01-lobster-fold.ipynb | 6 +- notebooks/03-gemini.ipynb | 284 ++ notebooks/04-lobster-llama-encoder.ipynb | 214 ++ .../05-graft-and-score-humanization.ipynb | 334 ++ pyproject.toml | 13 +- requirements-dev.in | 3 +- requirements.in | 7 +- src/lobster/assets/cdna_tokenizer/__init__.py | 0 .../cdna_tokenizer/special_tokens_map.json | 7 + .../cdna_tokenizer/tokenizer_config.json | 6 + src/lobster/assets/cdna_tokenizer/vocab.txt | 15 + .../assets/codon_tables/codon_table.json | 108 + src/lobster/cmdline/_train.py | 6 +- src/lobster/data/__init__.py | 31 +- src/lobster/data/_calm_datamodule.py | 220 ++ src/lobster/data/_cmap_datamodule.py | 17 +- src/lobster/data/_constants.py | 22 +- src/lobster/data/_cyno_pk_datamodule.py | 179 + .../data/_dataframe_dataset_in_memory.py | 194 +- .../{_datamodules.py => _fasta_datamodule.py} | 24 +- src/lobster/data/_gemini_data.py | 247 ++ src/lobster/data/_imports.py | 4 + src/lobster/data/_minhasher.py | 124 + src/lobster/data/_mmseqs.py | 44 +- src/lobster/data/_neglog_datamodule.py | 7 +- src/lobster/data/_ngs_datamodule.py | 192 + src/lobster/data/_ppi_sequence_datamodule.py | 3 +- src/lobster/data/_structure_datamodule.py | 40 +- src/lobster/data/_utils.py | 103 +- src/lobster/datasets/__init__.py | 2 + .../_ab_ag_sequence_ppi_dataset.py | 4 +- src/lobster/datasets/_calm_dataset.py | 107 + src/lobster/hydra_config/data/calm.yaml | 11 + src/lobster/hydra_config/data/cyno_pk.yaml | 12 + src/lobster/hydra_config/data/gemini.yaml | 7 + src/lobster/hydra_config/embed.yaml | 2 +- .../experiment/cdna/train_clm_85M_calm.yaml | 47 + .../experiment/cdna/train_mlm_83M_calm.yaml | 46 + .../experiment/clm/train_clm_11M.yaml | 7 +- .../experiment/clm/train_clm_24M.yaml | 7 +- .../experiment/clm150M_uniref50.yaml | 41 + .../experiment/{ => flip}/eval_flip.yaml | 0 .../experiment/flip/eval_flip_w_pooling.yaml | 39 + .../hydra_config/experiment/mlp/eval_pk.yaml | 39 + .../hydra_config/experiment/ngc/Trainer | 48 + .../experiment/ngc/clm150M_uniref50.yaml | 41 + .../experiment/ngc/cram_mlm150M_uniref50.yaml | 6 +- .../ngc/cram_mlmLarge_uniref50.yaml | 41 + .../experiment/ngc/train_clm_113M.yaml | 4 +- .../experiment/ngc/train_clm_150M.yaml | 41 + .../experiment/ngc/train_clm_24M.yaml | 4 +- src/lobster/hydra_config/logger/wandb.yaml | 1 + src/lobster/hydra_config/model/clm.yaml | 2 +- src/lobster/hydra_config/model/gemini.yaml | 8 + src/lobster/hydra_config/model/hyena.yaml | 2 +- .../hydra_config/model/lobsterfold.yaml | 4 +- src/lobster/hydra_config/model/mlm.yaml | 2 +- src/lobster/hydra_config/model/mlp.yaml | 13 + .../hydra_config/model/mlp_regressor.yaml | 9 - src/lobster/hydra_config/predict.yaml | 2 +- src/lobster/model/__init__.py | 11 +- src/lobster/model/_clip.py | 34 +- src/lobster/model/_clm.py | 55 +- src/lobster/model/_clm_configuration.py | 26 +- src/lobster/model/_cmap.py | 48 +- src/lobster/model/_gemini.py | 267 ++ src/lobster/model/_linear_probe.py | 51 +- src/lobster/model/_lobster_fold.py | 107 +- src/lobster/model/_mlm.py | 60 +- src/lobster/model/_mlm_configuration.py | 58 +- src/lobster/model/_mlp.py | 289 +- src/lobster/model/_pooler.py | 122 + src/lobster/model/_pooling_layers.py | 83 + src/lobster/model/_ppi_clf.py | 24 +- src/lobster/model/_seq2seq.py | 27 +- src/lobster/model/_utils.py | 16 +- src/lobster/model/hyena/__init__.py | 2 +- src/lobster/model/hyena/_hyena.py | 14 +- src/lobster/model/llama_base/__init__.py | 0 .../model/llama_base/_attn_mask_utils.py | 234 ++ .../model/llama_base/_llama_encoder.py | 248 ++ src/lobster/model/lm_base/_lm_base.py | 215 +- src/lobster/tokenization/_hyena_tokenizer.py | 29 +- .../_hyena_tokenizer_transform.py | 52 +- src/lobster/tokenization/_pmlm_tokenizer.py | 47 +- .../tokenization/_pmlm_tokenizer_transform.py | 35 +- src/lobster/transforms/__init__.py | 3 +- .../transforms/_atom3d_ppi_transforms.py | 24 +- .../transforms/_auto_tokenizer_transform.py | 83 + src/lobster/transforms/_binarize.py | 18 + .../transforms/_foldseek_transforms.py | 104 - src/lobster/transforms/functional/__init__.py | 3 + .../transforms/functional/_fix_liabilities.py | 114 + .../transforms/functional/_graft_germlines.py | 192 + .../transforms/functional/_humanize.py | 214 ++ test_data/2ah5A02.pdb | 500 +++ test_data/pdbs/1a2oA01 | 1026 +++++ test_data/pdbs/1ae2A00 | 831 +++++ test_data/query.fasta | 36 + test_data/test.pdb | 3296 +++++++++++++++++ tests/lobster/cmdline/test__cmdline.py | 2 +- tests/lobster/data/test__calm_datamodule.py | 43 + .../lobster/data/test__cyno_pk_datamodule.py | 29 + .../data/test__farthest_first_traversal.py | 3 +- .../data/test__fasta_lightning_datamodule.py | 6 +- tests/lobster/data/test__imports.py | 20 + tests/lobster/data/test__minhasher.py | 17 + tests/lobster/data/test__ngs_datamodule.py | 13 + tests/lobster/datasets/__init__.py | 0 tests/lobster/datasets/test__calm_dataset.py | 24 + tests/lobster/model/hyena/test__hyena.py | 8 +- .../model/openfold_utils/test__fape.py | 15 +- tests/lobster/model/test__clm.py | 34 +- .../test__foldseek_transform.py | 10 +- tests/lobster/model/test__gemini.py | 41 + tests/lobster/model/test__linear_probe.py | 34 +- tests/lobster/model/test__mlm.py | 38 +- tests/lobster/model/test__mlp.py | 86 +- tests/lobster/model/test__pooler.py | 107 + tests/lobster/model/test__ppi.py | 9 +- tests/lobster/model/test__pplmfold.py | 16 +- .../tokenization/test__pmlm_tokenizer.py | 50 +- .../lobster/transforms/functional/__init__.py | 0 .../functional/test__fix_liabilities.py | 20 + .../functional/test__graft_germlines.py | 144 + .../transforms/functional/test__humanize.py | 56 + .../transforms/test__binarize_transform.py | 30 + workflows/ci.yml | 51 + workflows/docs-pages.yml | 31 + 143 files changed, 15520 insertions(+), 753 deletions(-) create mode 100644 .github/workflows/push_main.yml delete mode 100644 assets/lobster.jpeg create mode 100644 assets/lobster.png create mode 100644 notebooks/.ipynb_checkpoints/01-lobster-fold-checkpoint.ipynb create mode 100644 notebooks/.ipynb_checkpoints/02-3d-lobster-checkpoint.ipynb create mode 100644 notebooks/.ipynb_checkpoints/03-gemini-checkpoint.ipynb create mode 100644 notebooks/.ipynb_checkpoints/04-lobster-llama-encoder-checkpoint.ipynb create mode 100644 notebooks/.ipynb_checkpoints/05-graft-and-score-humanization-checkpoint.ipynb create mode 100644 notebooks/03-gemini.ipynb create mode 100644 notebooks/04-lobster-llama-encoder.ipynb create mode 100644 notebooks/05-graft-and-score-humanization.ipynb create mode 100644 src/lobster/assets/cdna_tokenizer/__init__.py create mode 100644 src/lobster/assets/cdna_tokenizer/special_tokens_map.json create mode 100644 src/lobster/assets/cdna_tokenizer/tokenizer_config.json create mode 100644 src/lobster/assets/cdna_tokenizer/vocab.txt create mode 100644 src/lobster/assets/codon_tables/codon_table.json create mode 100644 src/lobster/data/_calm_datamodule.py create mode 100644 src/lobster/data/_cyno_pk_datamodule.py rename src/lobster/data/{_datamodules.py => _fasta_datamodule.py} (92%) create mode 100644 src/lobster/data/_gemini_data.py create mode 100644 src/lobster/data/_imports.py create mode 100644 src/lobster/data/_minhasher.py create mode 100644 src/lobster/data/_ngs_datamodule.py create mode 100644 src/lobster/datasets/__init__.py rename src/lobster/{data => datasets}/_ab_ag_sequence_ppi_dataset.py (98%) create mode 100644 src/lobster/datasets/_calm_dataset.py create mode 100644 src/lobster/hydra_config/data/calm.yaml create mode 100644 src/lobster/hydra_config/data/cyno_pk.yaml create mode 100644 src/lobster/hydra_config/data/gemini.yaml create mode 100644 src/lobster/hydra_config/experiment/cdna/train_clm_85M_calm.yaml create mode 100644 src/lobster/hydra_config/experiment/cdna/train_mlm_83M_calm.yaml create mode 100644 src/lobster/hydra_config/experiment/clm150M_uniref50.yaml rename src/lobster/hydra_config/experiment/{ => flip}/eval_flip.yaml (100%) create mode 100644 src/lobster/hydra_config/experiment/flip/eval_flip_w_pooling.yaml create mode 100644 src/lobster/hydra_config/experiment/mlp/eval_pk.yaml create mode 100644 src/lobster/hydra_config/experiment/ngc/Trainer create mode 100644 src/lobster/hydra_config/experiment/ngc/clm150M_uniref50.yaml create mode 100644 src/lobster/hydra_config/experiment/ngc/cram_mlmLarge_uniref50.yaml create mode 100644 src/lobster/hydra_config/experiment/ngc/train_clm_150M.yaml create mode 100644 src/lobster/hydra_config/model/gemini.yaml create mode 100644 src/lobster/hydra_config/model/mlp.yaml delete mode 100644 src/lobster/hydra_config/model/mlp_regressor.yaml create mode 100644 src/lobster/model/_gemini.py create mode 100644 src/lobster/model/_pooler.py create mode 100644 src/lobster/model/_pooling_layers.py create mode 100644 src/lobster/model/llama_base/__init__.py create mode 100644 src/lobster/model/llama_base/_attn_mask_utils.py create mode 100644 src/lobster/model/llama_base/_llama_encoder.py create mode 100644 src/lobster/transforms/_auto_tokenizer_transform.py create mode 100644 src/lobster/transforms/_binarize.py delete mode 100644 src/lobster/transforms/_foldseek_transforms.py create mode 100644 src/lobster/transforms/functional/__init__.py create mode 100644 src/lobster/transforms/functional/_fix_liabilities.py create mode 100644 src/lobster/transforms/functional/_graft_germlines.py create mode 100644 src/lobster/transforms/functional/_humanize.py create mode 100644 test_data/2ah5A02.pdb create mode 100644 test_data/pdbs/1a2oA01 create mode 100644 test_data/pdbs/1ae2A00 create mode 100644 test_data/query.fasta create mode 100644 test_data/test.pdb create mode 100644 tests/lobster/data/test__calm_datamodule.py create mode 100644 tests/lobster/data/test__cyno_pk_datamodule.py create mode 100644 tests/lobster/data/test__imports.py create mode 100644 tests/lobster/data/test__minhasher.py create mode 100644 tests/lobster/data/test__ngs_datamodule.py create mode 100644 tests/lobster/datasets/__init__.py create mode 100644 tests/lobster/datasets/test__calm_dataset.py rename tests/lobster/{transforms => model}/test__foldseek_transform.py (69%) create mode 100644 tests/lobster/model/test__gemini.py create mode 100644 tests/lobster/model/test__pooler.py create mode 100644 tests/lobster/transforms/functional/__init__.py create mode 100644 tests/lobster/transforms/functional/test__fix_liabilities.py create mode 100644 tests/lobster/transforms/functional/test__graft_germlines.py create mode 100644 tests/lobster/transforms/functional/test__humanize.py create mode 100644 tests/lobster/transforms/test__binarize_transform.py create mode 100644 workflows/ci.yml create mode 100644 workflows/docs-pages.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 4271810..619885c 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -48,4 +48,4 @@ jobs: shell: bash -l {0} run: | set -vxeuo pipefail - pytest -v --cov=lobster \ No newline at end of file + pytest -v --cov=lobster diff --git a/.github/workflows/docs-pages.yml b/.github/workflows/docs-pages.yml index 2305863..9f38154 100644 --- a/.github/workflows/docs-pages.yml +++ b/.github/workflows/docs-pages.yml @@ -28,4 +28,4 @@ jobs: publish_branch: gh-pages github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: docs/build/html - force_orphan: true \ No newline at end of file + force_orphan: true diff --git a/.github/workflows/push_main.yml b/.github/workflows/push_main.yml new file mode 100644 index 0000000..fa17af6 --- /dev/null +++ b/.github/workflows/push_main.yml @@ -0,0 +1,100 @@ +jobs: + build: + runs-on: "ubuntu-latest" + steps: + - uses: "actions/checkout@v4" + with: + fetch-depth: 0 + - uses: "actions/setup-python@v5" + with: + python-version: "3.x" + - run: "python -m pip install --upgrade build" + - run: "python -m build ." + - uses: "actions/upload-artifact@v3" + with: + name: "python-package-distributions" + path: "dist/" + pytest: + strategy: + matrix: + platform: + - "macos-latest" + - "ubuntu-latest" + - "windows-latest" + python: + - "3.10" + - "3.11" + runs-on: ${{ matrix.platform }} + steps: + - uses: "actions/checkout@v4" + - uses: "actions/setup-python@v5" + with: + python-version: ${{ matrix.python }} + - run: "python -m pip install --editable '.[test]'" + - run: "python -m pytest" + - env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + uses: "codecov/codecov-action@v3" + pypi: + environment: + name: "pypi.org" + url: "https://pypi.org/project/lbster" + if: "startsWith(github.ref, 'refs/tags/')" + needs: + - "build" + permissions: + id-token: "write" + runs-on: "ubuntu-latest" + steps: + - uses: "actions/download-artifact@v3" + with: + name: "python-package-distributions" + path: "dist/" + - uses: "pypa/gh-action-pypi-publish@release/v1" + release: + needs: + - "pypi" + permissions: + contents: "write" + id-token: "write" + runs-on: "ubuntu-latest" + steps: + - uses: "actions/download-artifact@v3" + with: + name: "python-package-distributions" + path: "dist/" + - uses: "sigstore/gh-action-sigstore-python@v1.2.3" + with: + inputs: "./dist/*.tar.gz ./dist/*.whl" + - env: + GITHUB_TOKEN: "${{ github.token }}" + run: "gh release create '${{ github.ref_name }}' --notes '' --repo '${{ github.repository }}'" + - env: + GITHUB_TOKEN: "${{ github.token }}" + run: "gh release upload '${{ github.ref_name }}' dist/** --repo '${{ github.repository }}'" + ruff: + runs-on: "ubuntu-latest" + steps: + - uses: "actions/checkout@v4" + - uses: "chartboost/ruff-action@v1" + with: + args: "format --check" + testpypi: + environment: + name: "test.pypi.org" + url: "https://test.pypi.org/project/lbster" + needs: + - "build" + permissions: + id-token: "write" + runs-on: "ubuntu-latest" + steps: + - uses: "actions/download-artifact@v3" + with: + name: "python-package-distributions" + path: "dist/" + - uses: "pypa/gh-action-pypi-publish@release/v1" + with: + repository-url: "https://test.pypi.org/legacy/" + skip-existing: true +on: "push" diff --git a/.gitignore b/.gitignore index 0e4c52b..f91a2f2 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,8 @@ *.egg-info/ *.py[cod] *.so +*.parquet +*.npy *~ .cache 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index b3d759c..1822f43 100644 --- a/README.md +++ b/README.md @@ -1,60 +1,79 @@ -# LOBSTER 🦞 -**L**anguage m**O**dels for **B**iological **S**equence **T**ransformation and **E**volutionary **R**epresentation +# LBSTER 🦞 +**L**anguage models for **B**iological **S**equence **T**ransformation and **E**volutionary **R**epresentation ## A language model library for rapid pre-training from scratch. -`lobster` is a "batteries included" language model library for proteins and other biological sequences. Led by [Nathan Frey](https://github.com/ncfrey), [Taylor Joren](github.com/taylormjs), Aya Ismail, and [Allen Goodman](https://github.com/0x00b1), with many valuable contributions from [Contributors](docs/CONTRIBUTORS.md) across [Prescient Design, Genentech](https://www.gene.com/scientists/our-scientists/prescient-design). +`lobster` is a "batteries included" language model library for proteins and other biological sequences. Led by [Nathan Frey](https://github.com/ncfrey), [Taylor Joren](github.com/taylormjs), [Aya Ismail](https://github.com/ayaabdelsalam91), and [Allen Goodman](https://github.com/0x00b1), with many valuable contributions from [Contributors](docs/CONTRIBUTORS.md) across [Prescient Design, Genentech](https://www.gene.com/scientists/our-scientists/prescient-design). This repository contains code and access to pre-trained language models for biological sequence data. +

- +

## Notice: Alpha Release This is an alpha release. The API is subject to change and the documentation is incomplete. +*LBSTER is a work-in-progress. Contributions and feedback are encouraged!* + +
Table of contents + +- [Why you should use LBSTER](#why-use) +- [Citations](#citations) +- [Install instructions](#install) +- [Models](#main-models) +- [Usage](#usage) +
+ +## Why you should use LBSTER +* LBSTER is built for pre-training models quickly from scratch. It is "batteries included." This is most useful if you need to control the pre-training data mixture and embedding space, or want to experiment with novel pre-training objectives and fine-tuning strategies. +* LBSTER is a living, open-source library that will be periodically updated with new code and pre-trained models from the [Frey Lab](https://ncfrey.github.io/) at [Prescient Design, Genentech](https://www.gene.com/scientists/our-scientists/prescient-design). The Frey Lab works on real therapeutic molecule design problems and LBSTER models and capabilities reflect the demands of real-world drug discovery campaigns. +* LBSTER is built with [beignet](https://github.com/Genentech/beignet/tree/main), a standard library for biological research, and integrated with [cortex](https://github.com/prescient-design/cortex/tree/main), a modular framework for multitask modeling, guided generation, and multi-modal models. + +## Citations +If you use the code and/or models, please cite the relevant papers. +For the `lbster` code base: +```bibtex +@article{Frey2024.05.14.594108, + author = {Frey, Nathan C. and Joren, Taylor and Ismail, Aya Abdelsalam and Goodman, Allen and Bonneau, Richard and Cho, Kyunghyun and Gligorijevi{\'c}, Vladimir}, + title = {Cramming Protein Language Model Training in 24 GPU Hours}, + elocation-id = {2024.05.14.594108}, + year = {2024}, + doi = {10.1101/2024.05.14.594108}, + publisher = {Cold Spring Harbor Laboratory}, + URL = {https://www.biorxiv.org/content/early/2024/05/15/2024.05.14.594108}, + eprint = {https://www.biorxiv.org/content/early/2024/05/15/2024.05.14.594108.full.pdf}, + journal = {bioRxiv} +} -## Why you should use LOBSTER -* LOBSTER is built for pre-training models quickly from scratch. It is "batteries included" This is most useful if you need to control the pre-training data mixture and embedding space, or want to experiment with novel pre-training objectives and fine-tuning strategies. -* LOBSTER is a living, open-source library that will be periodically updated with new pre-trained models from the [Frey Lab](https://github.com/ncfrey) at [Prescient Design, Genentech](https://www.gene.com/scientists/our-scientists/prescient-design). The Frey Lab works on real therapeutic molecule design problems and LOBSTER models and capabilities reflect the demands of real-world drug discovery campaigns. -* LOBSTER is built on [yeji](https://github.com/0x00b1/yeji/tree/main), a standard library for biological research, and integrated with [cortex](https://github.com/prescient-design/cortex/tree/main), a modular framework for multitask modeling, guided generation, and multi-modal models. +``` -## Citations -If you use the code and/or models, please cite: -TODO: update -## Install +## Install clone the repo, cd into it and do `mamba env create -f env.yml` - -### Install with pip -from the root of the repo, do +then from the root of the repo, do ```bash pip install -e . ``` -## Main models you should use +## Main models you should use ### Loading a pre-trained model ```python -from lobster.model import PrescientPMLM, PrescientPCLM -masked_language_model = PrescientPMLM.load_from_checkpoint() -causal_language_model = PrescientPCLM.load_from_checkpoint() +from lobster.model import LobsterPMLM, LobsterPCLM +masked_language_model = LobsterPMLM.load_from_checkpoint() +causal_language_model = LobsterPCLM.load_from_checkpoint() ``` -3D and dynamic models use the same classes. - -TODO: update +3D, cDNA, and dynamic models use the same classes. -**Datasets** -- all antibody models are trained on heavy and light chains separately, no pairing -- antibodies: antiberty dataset (paired and unpaired OAS) -- aho: these models expect aho aligned antibody inputs from anarci -- uniref50: general protein universe -- pdb complexes: pdb sequences with `.` tokens indicating complexes +NOTE: Pre-trained model checkpoints will be included in future releases! **Models** -* PrescientPMLM: masked language model (BERT-style encoder-only architecture) -* PrescientPCLM: causal language model (Llama-style decoder-only architecture) -* PrescientPLMFold: structure prediction language models (pre-trained encoder + structure head) +* LobsterPMLM: masked language model (BERT-style encoder-only architecture) +* LobsterPCLM: causal language model (Llama-style decoder-only architecture) +* LobsterPLMFold: structure prediction language models (pre-trained encoder + structure head) -## Usage +## Usage ### Embedding The entrypoint `lobster_embed` is the main driver for embedding sequences and accepts parameters using Hydra syntax. The available parameters for configuration can be found by running `lobster_embed --help` or by looking in the src/lobster/hydra_config directory @@ -64,10 +83,10 @@ To embed a fasta file of sequences using a pre-trained model on an interactive G lobster_embed data.path_to_fasta="test_data/query.fasta" checkpoint="path_to_checkpoint.ckpt" ``` -This will generate a dataframe of embeddings and also [log them to wandb](https://genentech.wandb.io/freyn6/lobster-embedding/runs/luv4ebtv?workspace=user-freyn6). +This will generate a dataframe of embeddings and also log them to wandb. ### Regression and classification -For robust multitask modeling, we recommend using `lobster` with [cortex]((https://github.com/prescient-design/cortex/tree/main)). For simple baselines using `lobster` embeddings, use `lobster.model.LinearProbe`. +For robust multitask modeling, we recommend using `lobster` with [cortex]((https://github.com/prescient-design/cortex/tree/main)). For simple baselines using `lobster` embeddings, use `lobster.model.LinearProbe` and `lobster.model.LobsterMLP`. ### Likelihoods Likelihoods from an autoregressive `PrescientCLM` or pseudo-log likelihoods ("naturalness") from a `PrescientPMLM` can be computed for a list of `sequences` using @@ -81,7 +100,7 @@ model.likelihood(sequences) ### Protein structure prediction -see [this notebook](notebooks/01-lobster-fold.ipynb) for an example on using PPLMFold to predict structure from sequence. +see [this notebook](notebooks/01-lobster-fold.ipynb) for an example on using LobsterFold to predict structure from sequence. ### Structure-aware sequence embedding with 3D-PPLM see [this notebook](notebooks/02-3d-lobster.ipynb) for an example on using the [FoldseekTransform](src/lobster/transforms/_foldseek_transforms.py) and 3D-PPLM to embed a monomer or complex. @@ -95,7 +114,7 @@ lobster_train data.path_to_fasta="test_data/query.fasta" logger=csv paths.root_d ``` ## Contributing -Contributions are welcome! We ask that all users and contributors remember that the LOBSTER team are all full-time drug hunters, and our open-source efforts are a labor of love because we care deeply about open science and scientific progress. +Contributions are welcome! We ask that all users and contributors remember that the LBSTER team are all full-time drug hunters, and our open-source efforts are a labor of love because we care deeply about open science and scientific progress. ### Install dev requirements and pre-commit hooks @@ -118,4 +137,4 @@ cd docs/build/html python -m http.server ``` -Then open `http://localhost:8000` in your browser. \ No newline at end of file +Then open `http://localhost:8000` in your browser. diff --git a/assets/lobster.jpeg b/assets/lobster.jpeg deleted file mode 100644 index ef5741ac01e360b8f3e57b33f1cff3fbb7414c5d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 207180 zcmb@t1yodB`!{@O6eIF(~520=oGLApU&1%{HA5*(yKqyz*8hZO0C z;XT~<|NEY2y=#4IeeYWDnKftjnO*1XbLH>4_RZ|gGC-oLsG)7D(VXVRA54G>#+F&z|Gy)TSw{H14AR@2miMJ_iSb3*<2OhTxYD@BwrHCEyuY{=a(s zXFWZN0YK~+0I=Tv=RfOg0BC*<0Fa;m`H$rt01!t5K+~9~mABPDH-inHG41UE;GhBk z?im39`8WXFHTi#T^gn(7^Dh2Bp7jCPhYoyB5AfpvxB_;-13(3E2W$Xdup|iZ0|LO~ 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