The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Using Evolutionary Algorithms and Machine Learning to Explore Sequence Space for the Discovery of Antimicrobial Peptides
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Citations
Cites
Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?
Brogden, K. A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1098 · Cited by 5,829
Defensins: antimicrobial peptides of innate immunity
Ganz, T. (2003) · Nature Reviews Immunology · doi:10.1038/nri1180 · Cited by 3,066
Kreutz, J. E., Shukhaev, A., Du, W., Druskin, S., Daugulis, O., & Ismagilov, R. F. (2010) · Journal of the American Chemical Society · doi:10.1021/ja909853x · Cited by 126
Evolution of oil droplets in a chemorobotic platform
Gutierrez, J. M. P., Hinkley, T., Taylor, J. W., Yanev, K., & Cronin, L. (2014) · Nature Communications · doi:10.1038/ncomms6571 · Cited by 119
Self-citation
Cited by
Emerging materials intelligence ecosystems propelled by machine learning
Batra, R., Song, L., & Ramprasad, R. (2020) · Nature Reviews Materials · doi:10.1038/s41578-020-00255-y · Cited by 446
Peptide-Based Supramolecular Systems Chemistry
Sheehan, F., Sementa, D., Jain, A., Kumar, M., Tayarani-Najjaran, M., Kroiss, D., & Ulijn, R. V. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00089 · Cited by 428
Reassessing the Host Defense Peptide Landscape
Haney, E. F., Straus, S. K., & Hancock, R. E. W. (2019) · Frontiers in Chemistry · doi:10.3389/fchem.2019.00043 · Cited by 359
Huang, J., Xu, Y., Xue, Y., Huang, Y., Li, X., Chen, X., Xu, Y., Zhang, D., Zhang, P., Zhao, J., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00991-2 · Cited by 270
Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36994-z · Cited by 231
Metadata
- Authors
- Yoshida, M., Hinkley, T., Tsuda, S., Abul-Haija, Y. M., McBurney, R. T., Kulikov, V., Mathieson, J. S., Galiñanes Reyes, S., Castro, M. D., & Cronin, L.
- Venue
- Chem
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 4
- Issue
- 3
- Pages
- 533-543
- ISSN
- 2451-9294 (ISSN-L)
- OpenAlex
- W2786810290
- Cited by
- 169
- References
- 4
- FWCI
- 9.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Using Evolutionary Algorithms and Machine Learning to Explore Sequence Space for the Discovery of Antimicrobial Peptides. https://app.cochat.ai/papers/10.1016/j.chempr.2018.01.005
- The paper
- Yoshida, M., Hinkley, T., Tsuda, S., Abul-Haija, Y. M., McBurney, R. T., Kulikov, V., Mathieson, J. S., Galiñanes Reyes, S., Castro, M. D., & Cronin, L. (2018). Using Evolutionary Algorithms and Machine Learning to Explore Sequence Space for the Discovery of Antimicrobial Peptides. Chem. https://doi.org/10.1016/j.chempr.2018.01.005
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.
