property prediction
Recently Published Documents


TOTAL DOCUMENTS

450
(FIVE YEARS 180)

H-INDEX

30
(FIVE YEARS 7)

2022 ◽  
Author(s):  
Guna Sekhar Gedela ◽  
Joe Bobby ◽  
Nirav Bhatt
Keyword(s):  

2022 ◽  
pp. 107183
Author(s):  
Szymon Ulenberg ◽  
Krzesimir Ciura ◽  
Paweł Georgiev ◽  
Monika Pastewska ◽  
Grzegorz Ślifirski ◽  
...  

2022 ◽  
Vol 215 ◽  
pp. 105225
Author(s):  
Saham Mirzaei ◽  
Ali Darvishi Boloorani ◽  
Hossein Ali Bahrami ◽  
Seyed Kazem Alavipanah ◽  
Alijafar Mousivand ◽  
...  

2021 ◽  
Author(s):  
Henriette Capel ◽  
Robin Weiler ◽  
Maurits J.J. Dijkstra ◽  
Reinier Vleugels ◽  
Peter Bloem ◽  
...  

Self-supervised language modeling is a rapidly developing approach for the analysis of protein sequence data. However, work in this area is heterogeneous and diverse, making comparison of models and methods difficult. Moreover, models are often evaluated only on one or two downstream tasks, making it unclear whether the models capture generally useful properties. We introduce the ProteinGLUE benchmark for the evaluation of protein representations: a set of seven tasks for evaluating learned protein representations. We also offer reference code, and we provide two baseline models with hyperparameters specifically trained for these benchmarks. Pre-training was done on two tasks, masked symbol prediction and next sentence prediction. We show that pre-training yields higher performance on a variety of downstream tasks such as secondary structure and protein interaction interface prediction, compared to no pre-training. However, the larger base model does not outperform the smaller medium. We expect the ProteinGLUE benchmark dataset introduced here, together with the two baseline pre-trained models and their performance evaluations, to be of great value to the field of protein sequence-based property prediction. Availability: code and datasets from https://github.com/ibivu/protein-glue


2021 ◽  
Author(s):  
Hehuan Ma ◽  
Yu Rong ◽  
Boyang Liu ◽  
Yuzhi Guo ◽  
Chaochao Yan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document