Current protein language models (PLMs) learn protein representations mainly based on their sequences, thereby well capturing co-evolutionary information, but they are unable to explicitly acquire protein functions, which is the end goal of protein representation learning. Fortunately, for many proteins, their textual property descriptions are available, where their various functions are also described. Motivated by this fact, we first build the ProtDescribe dataset to augment protein sequences with text descriptions of their functions and other important properties. Based on this dataset, we propose the
ProtST framework
to enhance Protein Sequence pre-training and understanding by biomedical Texts. During pre-training, we design three types of tasks, i.e., unimodal mask prediction, multimodal representation alignment and multimodal mask prediction, to enhance a PLM with protein property information with different granularities and, at the same time, preserve the PLM’s original representation power. On downstream tasks, ProtST enables both supervised learning and zeroshot prediction. We verify the superiority of ProtST-induced PLMs over previous ones on diverse representation learning benchmarks. Under the zero-shot setting, we show the effectiveness of ProtST on zero-shot protein classification, and ProtST also enables functional protein retrieval from a large-scale database without any function annotation. Source code and model weights are available at
https://github.com/DeepGraphLearning/ProtST
.
More Information About ProtST-esm1b huggingface.co Model
ProtST-esm1b huggingface.co
ProtST-esm1b huggingface.co is an AI model on huggingface.co that provides ProtST-esm1b's model effect (), which can be used instantly with this mila-intel ProtST-esm1b model. huggingface.co supports a free trial of the ProtST-esm1b model, and also provides paid use of the ProtST-esm1b. Support call ProtST-esm1b model through api, including Node.js, Python, http.
ProtST-esm1b huggingface.co is an online trial and call api platform, which integrates ProtST-esm1b's modeling effects, including api services, and provides a free online trial of ProtST-esm1b, you can try ProtST-esm1b online for free by clicking the link below.
mila-intel ProtST-esm1b online free url in huggingface.co:
ProtST-esm1b is an open source model from GitHub that offers a free installation service, and any user can find ProtST-esm1b on GitHub to install. At the same time, huggingface.co provides the effect of ProtST-esm1b install, users can directly use ProtST-esm1b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.