NpSearch: Search for Neuropeptides
-
Updated
Jan 26, 2017 - Ruby
#
signal-peptides
Here are 9 public repositories matching this topic...
Language: All
Filter by language
This repository contains the datasets, scripts, and analyses for the Laboratory of Bioinformatics II course project, focusing on the prediction of secretory signal peptides.
machine-learning deep-learning svm scikit-learn cross-validation pytorch seaborn feature-extraction data-analysis matplotlib evaluation-metrics signal-peptides numpy-arrays gridsearch von-heijne
-
Updated
Nov 26, 2025 - Jupyter Notebook
A comprehensive protein analysis platform that combines motif detection with 3D structure validation using AlphaFold2 confidence scores. Designed for cancer biology research, drug discovery, and functional genomics.
-
Updated
Oct 10, 2025 - Python
To predict cryptic cleavage sites in proteins with non-canonical signal peptides
-
Updated
Dec 7, 2022
Standalone Python package for annotating protein sequences with biological and physicochemical properties (iFeature, IEDB, SignalP) for reverse vaccinology. Extracted from VacSol-ML(ESKAPE); supports multi-allele MHC-I/II epitope prediction. Provides both a Python API and a CLI
machine-learning bioinformatics machine-learning-algorithms proteomics signal-peptides bioinformatics-analysis python-package epitope-prediction-methods protein-annotation bioinformatics-tool epitope-prediction vaccine-design reverse-vaccinology mhc-binding-prediction protein-annotations proteomics-data-analysis signal-peptide iedb ifeature signal-peptide-detection
-
Updated
Jul 30, 2026 - Python
A protein ML pipeline for eukaryotic signal peptide prediction using UniProtKB, MMseqs2, classical baselines, SVM biochemical features, and a CNN-BiLSTM classifier on ESM-2 protein embeddings.
-
Updated
Apr 28, 2026 - Jupyter Notebook
A re-built convolutional neural network from paper「DeepSig: deep learning improves signal peptide detection in proteins」
-
Updated
Jan 11, 2019 - Python
Signal peptide prediction using deep learning. SandwichSP uses a CNN-LSTM-CRF architecture with ProtT5 embeddings to predict signal peptides and their cleavage sites in protein sequences.
machine-learning neural-network crf convolutional-neural-networks signal-peptides lstm-neural-networks signal-peptide-detection
-
Updated
Sep 7, 2026 - Python
Origin mechanisms of SAARs – use case of L-SAARs in signal peptides among higher Eukaryotes
-
Updated
Nov 10, 2018 - R
Add this topic to your repo
To associate your repository with the signal-peptides topic, visit your repo's landing page and select "manage topics."