Prediction of protein–protein interactions between anti-CRISPR and CRISPR-Cas using machine learning technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Agronomy and Crop Science,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s13562-022-00813-1.pdf
Reference58 articles.
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2. Bateman A, Martin MJ, O’Donovan C et al (2017) UniProt: the universal protein knowledgebase. Nucleic Acids Res 45:D158–D169. https://doi.org/10.1093/NAR/GKW1099
3. Berman HM, Westbrook J, Feng Z et al (2000) The Protein Data Bank. Nucleic Acids Res 28:235. https://doi.org/10.1093/NAR/28.1.235
4. Berrar D (2019) Cross-validation. Encycl Bioinform Comput Biol 1:542–545. https://doi.org/10.1016/B978-0-12-809633-8.20349-X
5. Cheng J, Tegge AN, Baldi P (2008) Machine learning methods for protein structure prediction. IEEE Rev Biomed Eng 1:41–49. https://doi.org/10.1109/RBME.2008.2008239
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