KCLabMTU

pLMSNOSite

An ensemble-based approach for prediction of protein S-nitrosylation sites integrating supervised word embedding and embedding from protein language model

LMNglyPred

Prediction of Human N-Linked Glycosylation Site using embeddings from pre-trained protein language model

LMPhosSite

A deep learning-based approach for general protein phosphorylation site prediction using embeddings from local window sequence and pre-trained Protein Language Model

LMCrot

Protein Language Model (pLM) Powered Protein Crotonylation (Kcr) Modified Site Predictor

LM-OGlcNAc-Site

Predicting O-GlcNAcylation Sites Using Cost-sensitive learning on Protein Language Model’s Embeddings

LMSuccSite

Improving Protein Succinylation Sites Prediction Using Features Extracted from Protein Language Model

CaLMPhosKAN

CaLMPhosKAN: Predicting Protein Phosphosites using Codon Aware Embeddings and KAN

fall-monitoring

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics

KCLabMTU.github.io

MUbiSitePred

A multi-modal encoding-based deep learning approach for prediction of protein ubiquitination site prediction