Efficient evolution of human antibodies from general protein language models
Peer-reviewed| Поле | Значение |
|---|---|
| Authors | NR |
| Year | 2024 |
| Venue / status | Peer-reviewed journal; Nature Biotechnology (Q1) |
| DOI | 10.1038/s41587-023-01763-2 |
| URL | https://doi.org/10.1038/s41587-023-01763-2 |
| Preprint URL | NR |
| Tools | Efficient evolution with ESM-1v |
Задача и claimed novelty
| Поле | Значение |
|---|---|
| Main biological task | Zero-shot proposal of beneficial single mutations in human antibodies |
| Claimed novelty | NR |
Архитектура
| Поле | Значение |
|---|---|
| Model architecture | Ensemble protein language-model likelihood ranking with efficient experimental selection |
| Input representation | NR |
| Encoder / decoder | NR |
| Generative state | Ranked single-amino-acid substitutions |
| Conditioning | Single substitutions; no antigen/structure required |
| Sampling | NR |
Training
| Поле | Значение |
|---|---|
| Objectives / losses | NR |
| Dataset | NR |
| Preprocessing | NR |
Inference
NR
Baselines и retrospective benchmarks
| Поле | Значение |
|---|---|
| Baselines | NR |
| Retrospective | NR |
Prospective experimental validation
| Поле | Значение |
|---|---|
| Prospective | C143 variants included 32× Beta and 19× D614G neutralization improvements; workload is single-mutation only |
| Tested designs | Seven antibodies; roughly 10 single substitutions per parent selected for testing |
| Success criterion | C143 variants included 32× Beta and 19× D614G neutralization improvements; workload is single-mutation only |
| Main results | C143 variants included 32× Beta and 19× D614G neutralization improvements; workload is single-mutation only |
Limitations
Zero-shot evolutionary plausibility, not affinity prediction; combination/epistasis not addressed; improvements are antibody/assay specific.
Что статья показывает
- C143 variants included 32× Beta and 19× D614G neutralization improvements; workload is single-mutation only
Чего статья не показывает
- Predicted confidence, likelihood, pLDDT, docking or developability scores are not experimental affinity.
Размеченные утверждения
| Утверждение | Тип | Локатор |
|---|---|---|
| Efficient evolution of human antibodies from general protein language models | Author-reported | DOI/URL from landscape matrix |
| Publication status: Peer-reviewed journal; Nature Biotechnology (Q1) | Author-reported | landscape matrix, publication status column |
Source-grounded разбор статьи
Исследовательский вопрос
[MATRIX]Zero-shot proposal of beneficial single mutations in human antibodies
Утверждения и поддержка evidence
[MATRIX]Claimed novelty: NR
[INTERPRETATION]Статья не «доказывает» общее преимущество метода вне своего экспериментального дизайна.
Что представленный evidence не поддерживает
- Predicted confidence, likelihood, pLDDT, docking or developability scores are not experimental affinity.
Ограничения, признанные авторами
[MATRIX]Zero-shot evolutionary plausibility, not affinity prediction; combination/epistasis not addressed; improvements are antibody/assay specific.
Дополнительные ограничения интерпретации
NRПока Methods/SI не прочитаны, нельзя утверждать split leakage, точные гиперпараметры и полноту ablation.