| DeepKla |
DeepKla is a deep learning-based predictor originally developed for lysine lactylation sites in rice, utilizing a hybrid architecture of supervised embedding layer, CNN, bidirectional GRU networks, and attention mechanism. |
http://lin-group.cn/server/DeepKla/Serve.html |
| Auto-Kla |
Auto-Kla is an AutoML-based transformer model that leverages an embedding layer and multi-head self-attention mechanism to discriminate lysine lactylation sites in gastric cancer cells. |
http://origin.tubic.org/Kla/public/index.php/onlineservice |
| HybridKla |
HybridKla is a multi-feature hybrid deep learning framework that integrates automated encodings from a protein language model with composition-based handcrafted sequence descriptors to predict lysine lactylation sites. |
http://transkla.zzu.edu.cn/ |
| PCBert-Kla |
PCBert-Kla is a feature-fusion deep learning model based on ProtBert that integrates physicochemical properties with an attention mechanism in the fully connected layer to identify lysine lactylation sites. |
http://pcbert-kla.lin-group.cn/webserver.php |