Popular GitHub Repositories for Antimicrobial Peptides

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

A novel approach to the classification of antimicrobial peptides (AMPs) using pre-trained language models to create contextual vectorized embeddings of each peptide sequence before a convolutional neural network is used as the classifier.

An improved method for predicting toxicity of the peptides and designing of non-toxic peptides

Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences

AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.

Generative based data augmentation for ACPs

Conditional Variational Auto-Encoder for generation of synthetic data for Antimicrobial Resistance.

? AI-агент для анализа соединений долголетия: пептиды, NAD⁺, сенолитики.

About Investigating molecular descriptors in cell-penetrating peptides prediction with deep learning employing N, O, and hydrophobicity according to the Eisenberg scale