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Paper published in Bioinformatics
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memgonzales authored Jan 14, 2025
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**PHIStruct** is a phage-host interaction prediction tool that uses structure-aware protein embeddings to represent the receptor-binding proteins (RBPs) of phages. By incorporating structure information, it presents improvements over using sequence-only protein embeddings and feature-engineered sequence properties — especially for phages with RBPs that have low sequence similarity to those of known phages.

**Preprint**: https://doi.org/10.1101/2024.08.24.609479
**Paper**: https://doi.org/10.1093/bioinformatics/btaf016

If you find our work useful, please consider citing:

```
@article {PHIStruct,
author = {Gonzales, Mark Edward M. and Ureta, Jennifer C. and Shrestha, Anish M.S.},
@article{10.1093/bioinformatics/btaf016,
author = {Gonzales, Mark Edward M and Ureta, Jennifer C and Shrestha, Anish M S},
title = {PHIStruct: Improving phage-host interaction prediction at low sequence similarity settings using structure-aware protein embeddings},
elocation-id = {2024.08.24.609479},
year = {2024},
doi = {10.1101/2024.08.24.609479},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2024/08/24/2024.08.24.609479},
eprint = {https://www.biorxiv.org/content/early/2024/08/24/2024.08.24.609479.full.pdf},
journal = {bioRxiv}
journal = {Bioinformatics},
pages = {btaf016},
year = {2025},
month = {01},
issn = {1367-4811},
doi = {10.1093/bioinformatics/btaf016},
url = {https://doi.org/10.1093/bioinformatics/btaf016},
eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf016/61429295/btaf016.pdf},
}
```

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## 📰 News

- **02 Jan 2025** - Our [paper](https://doi.org/10.1093/bioinformatics/btaf016) was accepted for publication in _**Bioinformatics**_.
- **06 Nov 2024** - We presented our work at the **2024 Australian Bioinformatics and Computational Biology Society (ABACBS) National Conference** in Sydney. Poster [here](https://drive.google.com/file/d/1_IEL9WibxHFAjiMW-UmLa2X7G5Kvq4WQ/view?usp=sharing).

## ♾️ Run on Google Colab
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