nf-core / nf-core/proteinannotator
Add PLMsearch from "PLMSearch: Protein language model powers accurate and fast sequence search for remote homology"
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- Dominant language
- Nextflow
- Stars
- 15
- Forks
- 12
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 2
Description
Description of feature
https://www.nature.com/articles/s41467-024-46808-5
Homologous protein search is one of the most commonly used methods for protein annotation and analysis. Compared to structure search, detecting distant evolutionary relationships from sequences alone remains challenging. Here we propose PLMSearch (Protein Language Model), a homologous protein search method with only sequences as input. PLMSearch uses deep representations from a pre-trained protein language model and trains the similarity prediction model with a large number of real structure similarity. This enables PLMSearch to capture the remote homology information concealed behind the sequences. Extensive experimental results show that PLMSearch can search millions of query-target protein pairs in seconds like MMseqs2 while increasing the sensitivity by more than threefold, and is comparable to state-of-the-art structure search methods. In particular, unlike traditional sequence search methods, PLMSearch can recall most remote homology pairs with dissimilar sequences but similar structures. PLMSearch is freely available at https://dmiip.sjtu.edu.cn/PLMSearch.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no repository files, tests, or entry points. Start by reading the linked Nature paper and PLMSearch site, then inspect the pipeline structure to determine how this tool should be integrated; the issue does not define tests or a clear completion criterion.
Written by the indexing model from the issue text.
Assessment
- Domain
- bioinformatics, machine-learning, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100