Statistical Analysis and Tokenization of Epitopes to Construct Artificial Neoepitope Libraries v2 [Dataset]
Figure S1. Amino acid global propensity in epitopes. Figure S2. Overall global propensity variation in epitopes. Figure S3. Relative entropy values for the epitopes. Figure S4. Distribution of epitopes by source organism. Figure S5. Tokenization of epitopes with tokens of 4 and 5 residues. Figure S6...
| Autores: | , , , |
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| Tipo de recurso: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/356800 |
| Acceso en línea: | http://hdl.handle.net/10261/356800 |
| Access Level: | acceso abierto |
| Palabra clave: | Universal epitope libraries Natural language processing Linear epitope libraries Amino acid frequency 7 amino acids Immune system recognizes Immune epitope database Usually protein regions Conventional sequence analysis Linear epitopes deposited Foreign immune Statistical analysis Specific regions Stimulating entities Practically null Pathogen proteomes Methods inspired Mapping epitopes Identifying epitopes Human proteome Building blocks Aromatic residues Antigen ’ |
| Sumario: | Figure S1. Amino acid global propensity in epitopes. Figure S2. Overall global propensity variation in epitopes. Figure S3. Relative entropy values for the epitopes. Figure S4. Distribution of epitopes by source organism. Figure S5. Tokenization of epitopes with tokens of 4 and 5 residues. Figure S6. Amino acid frequency after tokenization. Table S1: Average relative entropies and p-values for the entropy analysis. Table S2: Tokens obtained through BPE tokenization of the entire dataset. |
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