The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
EzyPred: A top–down approach for predicting enzyme functional classes and subclasses
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Citations
Cites
The COG database: an updated version includes eukaryotes
Tatusov, R. L., Fedorova, N. D., Jackson, J. D., Jacobs, A. R., Kiryutin, B., Koonin, E. V., Krylov, D. M., Mazumder, R., Mekhedov, S. L., Nikolskaya, A. N., et al. (2003) · BMC Bioinformatics · doi:10.1186/1471-2105-4-41 · Cited by 4,430
Pfam: clans, web tools and services
Finn, R. D. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj149 · Cited by 2,302
Prediction of protein cellular attributes using pseudo‐amino acid composition
Chou, K. (2001) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.1035 · Cited by 1,943
Self-citationSchaffer, A. A. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.14.2994 · Cited by 1,386
Bairoch, A. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.304 · Cited by 1,129
Prediction of Protein Structural Classes
Chou, K.-C., & Zhang, C.-T. (1995) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409239509083488 · Cited by 1,058
Self-citationUsing amphiphilic pseudo amino acid composition to predict enzyme subfamily classes
Chou, K.-C. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bth466 · Cited by 993
Self-citationSMART 5: domains in the context of genomes and networks
Letunic, I. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj079 · Cited by 978
CDD: a conserved domain database for interactive domain family analysis
Marchler-Bauer, A., Anderson, J. B., Derbyshire, M. K., DeWeese-Scott, C., Gonzales, N. R., Gwadz, M., Hao, L., He, S., Hurwitz, D. I., Jackson, J. D., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl951 · Cited by 852
Recent progress in protein subcellular location prediction
Chou, K.-C., & Shen, H.-B. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.07.006 · Cited by 770
Self-citation
Cited by
Some remarks on protein attribute prediction and pseudo amino acid composition
Chou, K.-C. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.12.024 · Cited by 1,225
Self-citationPseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition
Shen, H.-B., & Chou, K.-C. (2008) · Analytical Biochemistry · doi:10.1016/j.ab.2007.10.012 · Cited by 437
Self-citationDeep learning enables high-quality and high-throughput prediction of enzyme commission numbers
Ryu, J. Y., Kim, H. U., & Lee, S. Y. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821905116 · Cited by 293
Prediction of enzyme function using an interpretable optimized ensemble learning framework
Dhibar, S., Basak, S., & Jana, B. (2025) · Chemical Science · doi:10.1039/d5sc04513d · Cited by 5
EC-Bench: a benchmark for enzyme commission number prediction
Davoudi, S., Henry, C. S., Miller, C. S., & Banaei-Kashani, F. (2026) · Bioinformatics Advances · doi:10.1093/bioadv/vbag004 · Cited by 3
Metadata
- Authors
- Shen, H.-B., & Chou, K.-C.
- Venue
- Biochemical and Biophysical Research Communications
- Publisher
- Elsevier BV
- Published
- 2007-12
- Volume
- 364
- Issue
- 1
- Pages
- 53-59
- ISSN
- 0006-291X (ISSN-L)
- OpenAlex
- W2026666393
- Cited by
- 269
- References
- 31
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: EzyPred: A top–down approach for predicting enzyme functional classes and subclasses. https://app.cochat.ai/papers/10.1016/j.bbrc.2007.09.098
- The paper
- Shen, H.-B., & Chou, K.-C. (2007). EzyPred: A top–down approach for predicting enzyme functional classes and subclasses. Biochemical and Biophysical Research Communications. https://doi.org/10.1016/j.bbrc.2007.09.098
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
