DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences
Author:
Affiliation:
1. University of Hong Kong, Hong Kong
2. Shanghai University, China
3. Hong Kong Polytechnic University, Hong Kong
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3429210.3429221
Reference58 articles.
1. Antonina Andreeva Andreas Prlić Tim JP Hubbard and Alexey G Murzin. 2007. SISYPHUS—structural alignments for proteins with non-trivial relationships. Nucleic acids research 35 suppl_1 (2007) D253–D259. Antonina Andreeva Andreas Prlić Tim JP Hubbard and Alexey G Murzin. 2007. SISYPHUS—structural alignments for proteins with non-trivial relationships. Nucleic acids research 35 suppl_1 (2007) D253–D259.
2. Crystallography: Protein Data Bank
3. Felix Bast. 2013. Sequence similarity search multiple sequence alignment model selection distance matrix and phylogeny reconstruction. Nature Protocol Exchange(2013). Felix Bast. 2013. Sequence similarity search multiple sequence alignment model selection distance matrix and phylogeny reconstruction. Nature Protocol Exchange(2013).
4. Maria Chatzou Cedrik Magis Jia-Ming Chang Carsten Kemena Giovanni Bussotti Ionas Erb and Cedric Notredame. 2016. Multiple sequence alignment modeling: methods and applications. Briefings in bioinformatics 17 6 (2016) 1009–1023. Maria Chatzou Cedrik Magis Jia-Ming Chang Carsten Kemena Giovanni Bussotti Ionas Erb and Cedric Notredame. 2016. Multiple sequence alignment modeling: methods and applications. Briefings in bioinformatics 17 6 (2016) 1009–1023.
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