Research Article
In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches
Table 4
Human conserved motifs of
found by MEME system (in regular expression).
| Motif | Width | -value | Best possible match |
| 1 | 50 | | LKRSRKNRIMVGYFIVILQTYILPCSITLMTIVTIVLS WQVSFWILNRKDESAVSPAARTVVASLFGIV TTVLTMTT |
| 2 | 50 | | TTVPNKRLMLIRILFPDDNGTVLILYTLMRLITITVTA EACPNMLDQLESDNRFYPMLDEATHQASTCPLKE FLEGSYGAY |
| 3 | 32 | | PKRVISAYVAITKAMIDWFYILAVCFYAVFVFSLAL LIEYFATAVLNY |
| 4 | 29 | | LTRLNDNLRMLAVSKILWTVPDTFYFHRVNGSKKSFIV AHNMV |
| 5 | 50 | | GYDNRLRPGNFLGGEPRPITVEQVIXTDNIYDVITA SFIGDPSVISDETVNDMEDYTIDTVIFYFLRQ SKTWKDER |
| 6 | 29 | | DSVISKAIDKRYWSRIVFLFPVALFGLFFNLVVYWAVL YTVYLV |
| 7 | 29 | | QFYDSLFIVLGQLTRVNGSTTSETIVIKSTFSTGED YVPTVIRMLTSVLAYHSFH |
| 8 | 29 | | AFGRSLQSVMYLGPAQTNPSISQLVEKQDEALTKN DNNITTIVFTRILDRGLLD |
| 9 | 41 | | TYWLKRGNDESVLRKGTLDEHKLIRSLASQYFTL IEQRYFFHTLTVSTRLSAQFQYESTSGTNGYW TYRN |
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