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The characterization of amino acid sequences in proteins by statistical methods
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Cited by
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modlAMP: Python for antimicrobial peptides
Müller, A. T., Gabernet, G., Hiss, J. A., & Schneider, G. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx285 · Cited by 215
Higgs, P. G. (2009) · Biology Direct · doi:10.1186/1745-6150-4-16 · Cited by 137
Structure-Function Analysis of Diacylglycerol Acyltransferase Sequences from 70 Organisms
Cao, H. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-249 · Cited by 122
Khusnutdinova, A. N., Batyrova, K. A., Brown, G., Fedorchuk, T., Chai, Y. S., Skarina, T., Flick, R., Petit, A., Savchenko, A., Stogios, P., et al. (2023) · The FEBS Journal · doi:10.1111/febs.16903 · Cited by 40
The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database
Tang, Q.-Y., Ren, W., Wang, J., & Kaneko, K. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac197 · Cited by 31
Decoding Missense Variants by Incorporating Phase Separation via Machine Learning
Feng, M., Wei, X., Zheng, X., Liu, L., Lin, L., Xia, M., He, G., Shi, Y., & Lu, Q. (2024) · Nature Communications · doi:10.1038/s41467-024-52580-3 · Cited by 15
Proteomics identifies substrates and a novel component in hSnd2-dependent ER protein targeting
Tirincsi, A., O’Keefe, S., Nguyen, D., Sicking, M., Dudek, J., Förster, F., Jung, M., Hadzibeganovic, D., Helms, V., High, S., et al. (2022) · doi:10.1101/2022.04.27.489649 · Cited by 7
Metadata
- Authors
- Zimmerman, J. M., Eliezer, N., & Simha, R.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 1968-11
- Volume
- 21
- Issue
- 2
- Pages
- 170-201
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2023919356
- Cited by
- 552
- References
- 0
- FWCI
- 1.09
- 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.
Statistics and arithmetic are recomputed, not judged.
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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.