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Search: authors:"Yong-Cui Wang"

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Network predicting drug’s anatomical therapeutic chemical code

Motivation: Discovering drug’s Anatomical Therapeutic Chemical (ATC) classification rules at molecular level is of vital importance to understand a vast majority of drugs action. However, few studies attempt to annotate drug’s potential ATC-codes by computational approaches. Results: Here, we introduce drug-target network to computationally predict drug’s ATC-codes and propose a...

Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context

Background Enzymes are known as the largest class of proteins and their functions are usually annotated by the Enzyme Commission (EC), which uses a hierarchy structure, i.e., four numbers separated by periods, to classify the function of enzymes. Automatically categorizing enzyme into the EC hierarchy is crucial to understand its specific molecular mechanism. Results In this...

Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation

Background With the development of genome-sequencing technologies, protein sequences are readily obtained by translating the measured mRNAs. Therefore predicting protein-protein interactions from the sequences is of great demand. The reason lies in the fact that identifying protein-protein interactions is becoming a bottleneck for eventually understanding the functions of...

Prediction of palmitoylation sites using the composition of k-spaced amino acid pairs

Palmitoylation is an important hydrophobic protein modification activity that participates many cellular processes, including signaling, neuronal transmission, membrane trafficking and so on. So it is an important problem to identify palmitoylated proteins and the corresponding sites. Comparing with the expensive and time-consuming biochemical experiments, the computational...