— Model Name: Antibody Generator — Version: 1.0 — Release Date: 12/15/2023 — Model Developer: Joesph Roberts, David Noble, Rahul Suresh, Neel Patel — Model Type: Protein Generation, based on the ProGen2 architecture. — License: Apache 2.0 — Code Repository: https://github.com/joethequant/dockerproteingenerator The Antibody Generator is a specialized protein generation model developed for creating therapeutic antibodies. It is based on the ProGen2 model, an advanced language model developed by Salesforce. ProGen2, an enhancement of the original ProGen model launched in 2020, is pre-trained on a vast dataset of over 280 million protein sequences. With up to 6.4B parameters, ProGen2 demonstrates state-of-the-art performance in generating novel, viable protein sequences and predicting protein fitness. — Primary Use Case: Generation of therapeutic antibody sequences for use in immunology, vaccine development, and medical treatments. — Target Users: Researchers and practitioners in bioinformatics, molecular biology, and related fields. — Baseline Model Data: ProGen2 was trained on a large collection of protein sequences from genomic, metagenomic, and immune repertoire databases,…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: AntibodyGeneration
Теги: progen
Лайков: 3 | Загрузок: 20
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
