Table 1 The semantics and statistics of adjacency matrixes
From: Predicting drug target interactions using meta-path-based semantic network analysis
Index | Semantics | From | Number of Rows | To | Number of Colums | Counta |
|---|---|---|---|---|---|---|
A1 | has ChEBI type | compound | 258030 | ChEBI type | 2777 | 14633 |
A2 | binds to | compound | 258030 | protein | 22056 | 528831 |
A3 | has part | compound | 258030 | substructure | 290 | 6127 |
A4 | induced by | adverse side effect | 1051 | compound | 258030 | 9004 |
A5 | treated by | disease | 1284 | compound | 258030 | 927 |
A6 | interacts with | protein | 22056 | protein | 22056 | 72773 |
A7 | has GO annotation | protein | 22056 | GO annotation | 9710 | 89688 |
A8 | caused by | disease | 1284 | protein | 22056 | 2676 |
A9 | has participants | pathway | 192 | protein | 22056 | 10796 |
A10 | expresses | tissue | 507 | protein | 22056 | 9905 |
A11 | similar to | compound | 258030 | compound | 258030 | 6184722 |
A12 | similar to | protein | 22056 | protein | 22056 | 261158 |