WEBSERVER
These are some of the tools that we’ve developed and we’re working on !
MKG-GC
MKG-GC is a medical knowledge graph automatically constructed based on DL methods to retrieve knowledge related to gastric cancer. (By LuYuWei)
ProTstab2
ProTstab2 is a novel machine learning tool for prediction of protein stability, especially melting temperature Tm. The tool is based on amino acid sequence information and using LightGBM algorithm. (By ZhaoJianJun)
DeepTP
DeepTP, a deep learning model, based on self-attention and multi-ple-channel feature fusion is proposed to predict thermophilic proteins. (By ZhaoJianJun)
SolAcc
SolAcc is used to predict relative solvent accessibility(RSA) of proteins based on Stacked-BiLSTM model.(By Mengqi Chen)
PON-ALL
PON-All predicts the tolerance (pathogenicity) of amino acid substitutions in multiple species. The method is fast and has high performance. (By ShaoAiBing)
PON-Sol2
PON-Sol2 is a prediction program to detect amino acid substitutions that increase, decrease or have no effect on the protein solubility. (By ZengLianJie)
PON-Fold
PON-FOLD is used to predict the effect of amino acid substitutions on the protein folding rate. The tool using LightGBM algorithm and makes prediction based on multiple sub-classifiers. (By ZhangChong)
PON-IDR
PON-IDR is used to predict the disease-relevance of all possible amino acid alterations in the human intrinsically disordered regions (IDRs). (By WangWei)
PON-Unsense
PON-Unsense is the first dedicated predictor for unsense variants. It is based on machine learning algorithm gradient boosting and has good performance. (By ChenMengQi)
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