Analysis of tRNA gene sequences by neural network.
The quantitative similarity among tRNA gene sequences was acquired by analysis with an artificial neural network. The evolutionary relationship derived from our results was consistent with those from other methods. A new sequence was recognized to be a tRNA-like gene by a neural network on the analysis of similarity. All of our results showed the efficiency of the artificial neural network method in the sequence analysis for biological molecules.
Sun
J
J
Institute of Biophysics, Academia Sinica, Beijing, People's Republic of China.
Song
W Y
WY
Zhu
L H
LH
Chen
R S
RS
D000818:Animals; D001105:Archaea / Q000235:genetics; D001419:Bacteria / Q000235:genetics; D001483:Base Sequence; D005075:Biological Evolution; D002736:Chloroplasts / Q000235:genetics; D005057:Eukaryotic Cells; D008969:Molecular Sequence Data; D016571:Neural Networks, Computer; D009690:Nucleic Acid Conformation; D011387:Prokaryotic Cells; D012313:RNA / Q000235:genetics; D000077278:RNA, Mitochondrial; D012343:RNA, Transfer / Q000737:chemistry / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000379:methods*; D012689:Sequence Homology, Nucleic Acid
D000077278:RNA, Mitochondrial; D012313:RNA; D012343:RNA, Transfer