# lifanchen-simm/transformerCPI

<https://repo.masters-masters.com/en/repos/lifanchen-simm/transformerCPI>

[Home](https://repo.masters-masters.com/en) › [lifanchen-simm](https://repo.masters-masters.com/en/owners/lifanchen-simm) › [transformerCPI](https://repo.masters-masters.com/en/repos/lifanchen-simm/transformerCPI)

lifanchen-simm/transformerCPI has 159 stars on GitHub. Its RepoMasters card: Prototype tier. TransformerCPI: Improving compound–protein interaction prediction…

| Field | Value |
| --- | --- |
| Owner | [lifanchen-simm](https://repo.masters-masters.com/en/owners/lifanchen-simm) |
| Stars | 159 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | self-attention, compound-protein-interaction, transformercpi, structure-free-virtual-sreening, drug-target-identification, drug-discovery |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [lifanchen-simm/transformerCPI](https://github.com/lifanchen-simm/transformerCPI) |

## Repository

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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