A Screening Algorithm for Gastric Cancer-Binding Peptides
Author:
Publisher
Springer Science and Business Media LLC
Subject
Drug Discovery,Molecular Medicine,Biochemistry,Bioengineering,Analytical Chemistry
Link
http://link.springer.com/content/pdf/10.1007/s10989-019-09874-8.pdf
Reference39 articles.
1. Akita N, Maruta F, Seymour LW et al (2006) Identification of oligopeptides binding to peritoneal tumors of gastric cancer. Cancer Sci 97:1075–1081. https://doi.org/10.1111/j.1349-7006.2006.00291.x
2. Atas H, Rifaioglu AS, Cetin-Atalay R, et al (2018) Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases. Brief Bioinform. https://doi.org/10.1093/bib/bby061
3. Chen B, Cao S, Zhang Y et al (2009) A novel peptide (GX1) homing to gastric cancer vasculature inhibits angiogenesis and cooperates with TNF alpha in anti-tumor therapy. BMC Cell Biol 10:63. https://doi.org/10.1186/1471-2121-10-63
4. Core Team R (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
5. Cruciani G, Baroni M, Carosati E et al (2004) Peptide studies by means of principal properties of amino acids derived from MIF descriptors. J Chemom 18:146–155. https://doi.org/10.1002/cem.856
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3. Data on the sequence-derived properties of gastric cancer – binding peptides;Data in Brief;2020-04
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