peptide-prediction

Collects software dedicated to predicting specific properties of peptides

AutoML system for building trustworthy peptide bioactivity predictors

The one model for genesis of peptide ligands

PyAMPA: The new version of the AMPA software

AI models for prediction and design of novel self-assembling peptides

Code for paper "Molecular Fingerprints Are Strong Models for Peptide Function Prediction" https://arxiv.org/abs/2501.17901

Species Identification and Prediction by Mass Spectrometry

Generative based data augmentation for ACPs

Deep learning platform predicting therapeutic peptides from sequence data - CNN, BiLSTM+Attention & ProtBERT models served via FastAPI, with a React UI.

Dual-scale peptide property prediction with atom/residue encoders and cross-attention fusion.

This repository holds the code and notes during the use of Casanovo as part of my Research Project, as well as links to resources used as part of the Metaproteomic Analysis of my samples.

An application for peptide sequencing of ion mobility mass spectrometry data

Collection of peptide sequences belong to 10 activity class

Peptide Vaccine Analysis Tool (PVAT) is an optimization software that predicts the best possible peptide stretches in a given protein sequence based on two factors: 1. the surface exposure of the peptide stretches, and 2. their susceptibility to mutation.

Benchmark methods for peptide property prediction

Fusion model of ProtBERT and ESM-2 for cell-penetrating peptide prediction (Reproduction of FusPB-ESM2, Comp. Biol. Chem., 2024)

Peptide property prediction