Juyoung Bio's PTM group specializes in developing state-of-the-art AI models for predicting various post-translational modifications in proteins. Their toolkit includes models for identifying phosphorylation, ubiquitylation, methylation, and other modification sites. By leveraging techniques such as transformer language models and capsule networks, they provide researchers with powerful tools to understand protein regulation and function, potentially uncovering new therapeutic targets and advancing our understanding of cellular processes.

https://api.juyoungbio.com/media/services/ptmgpt.md

Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model

Post-translational modification prediction

DL-SPhos: Prediction of serine phosphorylation sites using transformer language model

CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network

RecSNO: prediction of protein S-Nitrosylation sites using a recurrent neural network

Cutting-edge AI models for predicting various protein post-translational modifications

다양한 단백질 번역 후 변형을 예측하는 최첨단 AI 모델