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ApexSP
ycy77/ApexSP
ApexSP is a machine learning model from ycy77. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as cc-by-nc-sa-4.0.
ApexSP is a signal peptide design and screening workflow for cargo-specific protein secretion design.
Access
Public
Updated Jul 29, 2026
Repo size
2.7 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pth2.7 GB · 100%
At a glance
- Library
- pytorch
- License
- cc-by-nc-sa-4.0
- Access
- Public
- Created
- Jul 27, 2026
- Updated
- Jul 29, 2026
- SHA
- 058ef7e4
Model card
From the Hugging Face model README
ApexSP
ApexSP is a signal peptide design and screening workflow for cargo-specific protein secretion design.
This repository contains the inference scripts and pretrained weights used by the ApexSP pipeline.
Contents
tuili_123/
ApexSP_tuili.py # End-to-end inference workflow
tuili_1.py # Sec/Tat signal peptide generation
tuili_2.py # Multitask biological filter
tuili_3.py # Signal peptide-cargo compatibility scoring
pth_123/
model1.pth # Generation model weights
model2.pth # Multitask biological filter weights
model3.pth # Compatibility/ranking model weights
pth_123.sha256 # SHA256 checksums
Check Weights
After downloading the repository, verify the weights with:
cd pth_123
sha256sum -c pth_123.sha256
On macOS, use:
cd pth_123
shasum -a 256 model1.pth model2.pth model3.pth
cat pth_123.sha256
Notes
The inference scripts are preserved from the original server workflow. Some paths in the scripts point to the original runtime environment under /home/zkyd/data1/ycy/ApexSP/. If running outside that server, update the local model paths, ESM2 path, and conda environment path before inference.
- Library
- pytorch
- License
- cc-by-nc-sa-4.0
- Created
- Jul 27, 2026
- Updated
- Jul 29, 2026