The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Distinguishing Enzyme Structures from Non-enzymes Without Alignments
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Citations
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
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Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Neural networks for pattern recognition
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A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Improved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
The Nature of Statistical Learning Theory
Vapnik, V. N. (2000) · Springer eBooks · doi:10.1007/978-1-4757-3264-1 · Cited by 10,696
Text categorization with Support Vector Machines: Learning with many relevant features
Joachims, T. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0026683 · Cited by 7,999
Cited by
A Comprehensive Survey on Graph Neural Networks
Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., & Yu, P. S. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2978386 · Cited by 11,000
Graph neural networks: A review of methods and applications
Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020) · AI Open · doi:10.1016/j.aiopen.2021.01.001 · Cited by 6,880
Discriminative Embeddings of Latent Variable Models for Structured Data
Dai, H., Dai, B., & Song, L. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1603.05629 · Cited by 454
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Xie, Y., Xu, Z., Zhang, J., Wang, Z., & Ji, S. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3170559 · Cited by 389
Currin, A., Swainston, N., Day, P. J., & Kell, D. B. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00351a · Cited by 388
Metadata
- Authors
- Dobson, P. D., & Doig, A. J.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 330
- Issue
- 4
- Pages
- 771-783
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2092750499
- Cited by
- 579
- References
- 36
- FWCI
- 1.93
- 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: Distinguishing Enzyme Structures from Non-enzymes Without Alignments. https://app.cochat.ai/papers/10.1016/s0022-2836(03)00628-4
- The paper
- Dobson, P. D., & Doig, A. J. (2003). Distinguishing Enzyme Structures from Non-enzymes Without Alignments. Journal of Molecular Biology. https://doi.org/10.1016/s0022-2836(03)00628-4
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.
