Found: 10
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Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis.
- Published in:
- Nucleic Acids Research, 2014, v. 42, n. D1, p. D240, doi. 10.1093/nar/gkt1205
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- Publication type:
- Article
New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures.
- Published in:
- Nucleic Acids Research, 2013, v. 41, p. D490, doi. 10.1093/nar/gks1211
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- Publication type:
- Article
Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis.
- Published in:
- Nucleic Acids Research, 2012, p. D465, doi. 10.1093/nar/gkr1181
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- Publication type:
- Article
Extending CATH: increasing coverage of the protein structure universe and linking structure with function.
- Published in:
- Nucleic Acids Research, 2011, v. 39, n. suppl_1, p. D420, doi. 10.1093/nar/gkq1001
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- Publication type:
- Article
GeMMA: functional subfamily classification within superfamilies of predicted protein structural domains.
- Published in:
- Nucleic Acids Research, 2010, v. 38, n. 3, p. 720, doi. 10.1093/nar/gkp1049
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- Publication type:
- Article
PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data.
- Published in:
- Scientific Reports, 2017, p. 39194, doi. 10.1038/srep39194
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- Article
Protein function prediction using domain families.
- Published in:
- BMC Bioinformatics, 2013, v. 14, n. S3, p. 1, doi. 10.1186/1471-2105-14-S3-S5
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- Publication type:
- Article
Predicting bacterial virulence factors – evaluation of machine learning and negative data strategies.
- Published in:
- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1596, doi. 10.1093/bib/bbz076
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- Publication type:
- Article
Docking small peptides remains a great challenge: an assessment using AutoDock Vina.
- Published in:
- Briefings in Bioinformatics, 2015, v. 16, n. 6, p. 1045, doi. 10.1093/bib/bbv008
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- Publication type:
- Article
DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.
- Published in:
- Bioinformatics, 2020, v. 36, n. 1, p. 81, doi. 10.1093/bioinformatics/btz541
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- Publication type:
- Article