Benchmarking Large Protein Language Models

2023-2024 Spring
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

Analogous to natural language models, there are several large protein language models that models the protein sequences. In this project the students will benchmark a dozen of protein lanaguage models  in protein function related retrieval task.
** Interested students must have taken CS412-Machine Learning course or taking it this Spring semester. 
** The students must be proficient programmers in Python and be able to conduct large scale computational experiments.
** Interested students should send an email to with a title of the PURE project, indicating why they are interested in this project and their  skill set.

Related Areas of Project: 
Computer Science and Engineering
Molecular Biology, Genetics and Bioengineering
Electronics Engineering