When predicting the interaction of proteins with potential drugs, the
protein can be encoded as its one-dimensional sequence or a three-dimensional
structure, which can capture more relevant features of the protein, but also makes
the task to predict the interactions harder. A new method predicts these
interactions using a two-dimensional distance matrix representation of a protein,
which can be processed like a two-dimensional image, striking a balance between the
data being simple to process and rich in relevant structures.
- Shuangjia Zheng
- Yongjian Li
- Yuedong Yang
