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Towards the prediction of non-peptidic epitopes.

• Authors : Zierep, Paul F.¹ (AUTHOR); Vita, Randi² (AUTHOR); Blazeska, Nina² (AUTHOR)

• Source: PLoS Computational Biology. 2/18/2022, Vol. 18 Issue 2, p1-24. 24p. 1 Diagram, 8 Charts, 11 Graphs.

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ISOTOPE: ISOform-guided prediction of epiTOPEs in cancer.

• Authors : Trincado, Juan L.¹ (AUTHOR); Reixachs-Solé, Marina^2,3 (AUTHOR); Pérez-Granado, Judith⁴ (AUTHOR)

• Source: PLoS Computational Biology. 9/16/2021, Vol. 17 Issue 9, p1-22. 22p. 1 Diagram, 5 Graphs.

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Predicting recognition between T cell receptors and epitopes with TCRGP.

• Authors : Jokinen, Emmi¹ (AUTHOR) ; Huuhtanen, Jani^2,3 (AUTHOR); Mustjoki, Satu^2,3,4 (AUTHOR)

• Source: PLoS Computational Biology. 3/25/2021, Vol. 17 Issue 3, p1-27. 27p. 1 Diagram, 4 Charts, 4 Graphs.

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Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system.

• Authors : Paul, Sinu¹ (AUTHOR); Croft, Nathan P.^2,3 (AUTHOR); Purcell, Anthony W.^2,3 (AUTHOR)

• Source: PLoS Computational Biology. 5/26/2020, Vol. 16 Issue 5, p1-18. 18p. 3 Charts, 6 Graphs.

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The breadth of HIV-1 neutralizing antibodies depends on the conservation of key sites in their epitopes.

• Authors : Bai, Hongjun^1,2; Li, Yifan^1,2; Michael, Nelson L.^1,2

• Source: PLoS Computational Biology. 6/6/2019, Vol. 15 Issue 6, p1-14. 14p. 1 Diagram, 3 Graphs.

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Diversity and evolution of computationally predicted T cell epitopes against human respiratory syncytial virus.

• Authors : Chen, Jiani^1,2,3,4 (AUTHOR); Tan, Swan^1,3,4,5 (AUTHOR); Avadhanula, Vasanthi⁶ (AUTHOR)

• Source: PLoS Computational Biology. 1/10/2023, Vol. 19 Issue 1, p1-21. 21p. 2 Charts, 3 Graphs.

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Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes.

• Authors : Zhao, Weilong¹; Sher, Xinwei¹

• Source: PLoS Computational Biology. 11/9/2018, Vol. 14 Issue 11, p1-28. 28p. 3 Charts, 9 Graphs.

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Predicting recognition between T cell receptors and epitopes with TCRGP.

• Authors : Emmi Jokinen; Jani Huuhtanen; Satu Mustjoki

Subjects: Biology (General); QH301-705.5

• Source: PLoS Computational Biology, Vol 17, Iss 3, p e1008814 (2021)

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IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platform.

• Authors : Hepler NL; Interdisciplinary Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, United States of America.; Scheffler K

Subjects: Antibodies, Neutralizing*/Antibodies, Neutralizing*/Antibodies, Neutralizing*/immunology ; Epitopes*/Epitopes*/Epitopes*/chemistry ; Epitopes*/Epitopes*/Epitopes*/immunology

• Source: PLoS computational biology [PLoS Comput Biol] 2014 Sep 25; Vol. 10 (9), pp. e1003842. Date of Electronic Publication: 2014 Sep 25 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.

• Authors : Igiraneza, Aime Bienfait; Zacharopoulou, Panagiota; Hinch, Robert

Subjects: MACHINE learning; HIV; COMMUNICABLE diseases

• Source: PLoS Computational Biology; 11/20/2024, Vol. 20 Issue 11, p1-18, 18p

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