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Image Search Results
Journal: Molecules
Article Title: AutoEpiCollect 2.0: A Web-Based Machine Learning Tool for Personalized Peptide Cancer Vaccine Design
doi: 10.3390/molecules30244702
Figure Lengend Snippet: The “Personalized” Page from the AutoEpiCollect 2.0 Website. The personalized cancer vaccine process is carried out in 2 distinct steps. The first step uses the gene and mutation data from Partek Flow to output Excel files containing collected epitopes. Along with the Excel files are FASTA-formatted files with a unique set of peptides for user antigenicity collection through VaxiJen. In the second step, the user must input the antigenicity data along with the Excel data to obtain the final personalized cancer vaccine composition. Detailed information about using AutoEpiCollect 2.0 is located in the “Documentation” tab, as seen in the figure.
Article Snippet: After finishing the
Techniques: Mutagenesis
Journal: Molecules
Article Title: AutoEpiCollect 2.0: A Web-Based Machine Learning Tool for Personalized Peptide Cancer Vaccine Design
doi: 10.3390/molecules30244702
Figure Lengend Snippet: The “Personalized” Page from the AutoEpiCollect 2.0 Website. The personalized cancer vaccine process is carried out in 2 distinct steps. The first step uses the gene and mutation data from Partek Flow to output Excel files containing collected epitopes. Along with the Excel files are FASTA-formatted files with a unique set of peptides for user antigenicity collection through VaxiJen. In the second step, the user must input the antigenicity data along with the Excel data to obtain the final personalized cancer vaccine composition. Detailed information about using AutoEpiCollect 2.0 is located in the “Documentation” tab, as seen in the figure.
Article Snippet: For the personalized vaccine design performed in this study, we began with
Techniques: Mutagenesis