Local Function Conservation in Sequence and Structure Space
Figure 1
Assessing Similarity-Based Inference.
(A) The plot serves to assess the errors made when inferring GO terms from the nearest neighbor of each protein. The inferred annotations are sorted according to the similarity measures (CE, TM, LP, GP) and then binned such that each bin contains an equal number of annotation counts (ca. 670 annotations). This allows for comparing the number of errors for the inference according to different similarity measures which are operating on different scales. The x-axis denotes the range of similarity measure scores falling into that bin, the y-axis the ratio of correct annotations in that range. (B) In contrast to (A), the inferred annotations are sorted according to raw function conservation scores, based on the similarity measures (CE, TM, LP, GP). The x-axis denotes the range of raw function conservation scores falling into that bin, the y-axis the ratio of correct annotations in that range.