Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via ames test
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Publication:2632389
DOI10.1016/j.jtbi.2013.08.037zbMath1411.92232OpenAlexW2074196504WikidataQ34371112 ScholiaQ34371112MaRDI QIDQ2632389
Hassan Mohabatkar, Moien Piryaiee, Zohre Hajisharifi, Mandana Behbahani, Majid Mohammad-Beigi
Publication date: 14 May 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2013.08.037
Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50) Protein sequences, DNA sequences (92D20)
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Uses Software
Cites Work
- Some remarks on protein attribute prediction and pseudo amino acid composition
- Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition
- Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
- Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
- Complete statistical theory of learning
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