A lightweight classification of adaptor proteins using transformer networks

被引:0
作者
Sylwan Rahardja
Mou Wang
Binh P. Nguyen
Pasi Fränti
Susanto Rahardja
机构
[1] University of Eastern Finland,School of Computing
[2] Northwestern Polytechnical University,School of Marine Science and Technology
[3] Singapore Institute of Technology,School of Mathematics and Statistics
[4] Victoria University of Wellington,undefined
来源
BMC Bioinformatics | / 23卷
关键词
Adaptor protein; Protein classification; Deep learning; Transformer;
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[1]  
Ashburner M(2000)Gene ontology: tool for the unification of biology Nat Genet 25 25-29
[2]  
Ball CA(1999)Protein secondary structure prediction based on position-specific scoring matrices J Mol Biol 292 195-202
[3]  
Blake JA(2011)Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties Bioinformatics 27 2062-2067
[4]  
Botstein D(2017)pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information Bioinformatics 34 1448-1456
[5]  
Butler H(1997)Gapped BLAST and PSI-BLAST: a new generation of protein database search programs Nucleic Acids Res 25 3389-3402
[6]  
Cherry JM(2011)Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties Bioinformatics 27 2062-2067
[7]  
Davis AP(2021)DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome Bioinformatics 37 2112-2120
[8]  
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