The ENZYME database in 2000
By Amos Bairoch. 2000
1,147 citations recorded by the source corpus.
Subfields: Biochemistry, Materials Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biochemistry
- Janet M. Thornton
- Christophe Dessimoz
- Adrian M. Altenhoff
- Christine A. Orengo
- Roman A. Laskowski
- Victor V. Chistyakov
- Falk Schreiber
- Christian Klukas
In Materials Chemistry
- Jinbo Xu
- Sheng Wang
- Janet M. Thornton
- Roman A. Laskowski
- Burkhard Rost
- Zhiyong Wang
- Michael Heinzinger
- Christian Dallago
In Molecular Biology
- Burkhard Rost
- Peer Bork
- Kuo-Chen Chou
- Jinbo Xu
- Sheng Wang
- Christophe Dessimoz
- Ivica Letunic
- Paul D. Thomas
Citations in the corpus
- Modeling aspects of the language of life through transfer-learning protein sequences (2019, methodology): “Functions encoded by the Enzyme Commission number (E.C., [60]) were retrieved via the “ Structure Integration with Function, Taxonomy and Sequence ” (SIFTS) mapping [61].”
- ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Deep Learning and High Performance Computing (2020, background): “A similar overall per-protein analysis as for structural classes and domains of life also suggested some clustering according to protein function as proxied by enzymatic activity (EC-num-bers [64] and subcellular location (SOM -1.3 pLMs unsupervised, available online).”
- Template-based protein structure modeling using the RaptorX web server (2012, background): “Functional properties of a protein domain, such as enzymatic activity 3 or the ability to interact with other proteins 4 , can often be derived from the approximate spatial arrangement of its amino acid chain in the folded state.”
- Standardised Benchmarking in the Quest for Orthologs (2016, methodology): “Likewise, we collected the hierarchical EC number assignments of the ENZYME database 36 maintained by Swiss-Prot.”
- REVIEW : Recent advances in developing web-servers for predicting protein attributes (2009, background): “It not only covers all the six enzyme main-functional classes [127], but also many of their sub-functional classes (see Figure 9).”
- InterProScan 5: genome-scale protein function classification (2014, methodology): “This lookup service replaces the indexed match_complete.xml file used by InterProScan 4.”
- Advancing translational research with the Semantic Web (2007, methodology): “Our approach was to collect gene and protein synonyms from a variety of public databases – Entrez Gene, UniProt, OMIM [77], and Enzyme [78].”
- Enzyme-specific profiles for genome annotation: PRIAM. (2003, methodology): “We expect that PRIAM profiles will become even more reliable as more enzyme sequences are introduced into the ENZYME database.”
- ExPASy: the proteomics server for in-depth protein knowledge and analysis (2003, background): “� ENZYME ( 8 ) (http://www.expasy.org/enzyme/) is a repository of information relative to the nomenclature of enzymes.”
- TTD: Therapeutic Target Database (2002, background): “For an enzymatic target, its nomenclature can be obtained from cross-link to the Enzyme Data Bank ( 24 ).”