Literature DB >> 28178261

The problem with neoantigen prediction.

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Year:  2017        PMID： 28178261     DOI： 10.1038/nbt.3800

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


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  46 in total

1.  Quantification of Uncertainty in Peptide-MHC Binding Prediction Improves High-Affinity Peptide Selection for Therapeutic Design.

Authors:  Haoyang Zeng; David K Gifford
Journal:  Cell Syst       Date:  2019-06-05       Impact factor: 10.304

2.  NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data.

Authors:  Vanessa Jurtz; Sinu Paul; Massimo Andreatta; Paolo Marcatili; Bjoern Peters; Morten Nielsen
Journal:  J Immunol       Date:  2017-10-04       Impact factor: 5.422

3.  High-Throughput Stability Screening of Neoantigen/HLA Complexes Improves Immunogenicity Predictions.

Authors:  Dylan T Blaha; Scott D Anderson; Daniel M Yoakum; Marlies V Hager; Yuanyuan Zha; Thomas F Gajewski; David M Kranz
Journal:  Cancer Immunol Res       Date:  2018-11-13       Impact factor: 11.151

4.  Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction.

Authors:  Daniel K Wells; Marit M van Buuren; Kristen K Dang; Vanessa M Hubbard-Lucey; Kathleen C F Sheehan; Katie M Campbell; Andrew Lamb; Jeffrey P Ward; John Sidney; Ana B Blazquez; Andrew J Rech; Jesse M Zaretsky; Begonya Comin-Anduix; Alphonsus H C Ng; William Chour; Thomas V Yu; Hira Rizvi; Jia M Chen; Patrice Manning; Gabriela M Steiner; Xengie C Doan; Taha Merghoub; Justin Guinney; Adam Kolom; Cheryl Selinsky; Antoni Ribas; Matthew D Hellmann; Nir Hacohen; Alessandro Sette; James R Heath; Nina Bhardwaj; Fred Ramsdell; Robert D Schreiber; Ton N Schumacher; Pia Kvistborg; Nadine A Defranoux
Journal:  Cell       Date:  2020-10-09       Impact factor: 41.582

5.  POTN: A Human Leukocyte Antigen-A2 Immunogenic Peptides Screening Model and Its Applications in Tumor Antigens Prediction.

Authors:  Qingqing Meng; Yahong Wu; Xinghua Sui; Jingjie Meng; Tingting Wang; Yan Lin; Zhiwei Wang; Xiuman Zhou; Yuanming Qi; Jiangfeng Du; Yanfeng Gao
Journal:  Front Immunol       Date:  2020-10-07       Impact factor: 7.561

Review 6.  Personal Mutanomes Meet Modern Oncology Drug Discovery and Precision Health.

Authors:  Feixiong Cheng; Han Liang; Atul J Butte; Charis Eng; Ruth Nussinov
Journal:  Pharmacol Rev       Date:  2018-12-13       Impact factor: 25.468

7.  Detecting Tumor Antigen-Specific T Cells via Interaction-Dependent Fucosyl-Biotinylation.

Authors:  Zilei Liu; Jie P Li; Mingkuan Chen; Mengyao Wu; Yujie Shi; Wei Li; John R Teijaro; Peng Wu
Journal:  Cell       Date:  2020-10-22       Impact factor: 41.582

8.  HLA Class II Specificity Assessed by High-Density Peptide Microarray Interactions.

Authors:  Thomas Osterbye; Morten Nielsen; Nadine L Dudek; Sri H Ramarathinam; Anthony W Purcell; Claus Schafer-Nielsen; Soren Buus
Journal:  J Immunol       Date:  2020-06-01       Impact factor: 5.422

9.  Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes.

Authors:  Tianshi Lu; Shidan Wang; Lin Xu; Qinbo Zhou; Nirmish Singla; Jianjun Gao; Subrata Manna; Laurentiu Pop; Zhiqun Xie; Mingyi Chen; Jason J Luke; James Brugarolas; Raquibul Hannan; Tao Wang
Journal:  Sci Immunol       Date:  2020-02-21

10.  pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

Authors:  Jasreet Hundal; Susanna Kiwala; Joshua McMichael; Christopher A Miller; Huiming Xia; Alexander T Wollam; Connor J Liu; Sidi Zhao; Yang-Yang Feng; Aaron P Graubert; Amber Z Wollam; Jonas Neichin; Megan Neveau; Jason Walker; William E Gillanders; Elaine R Mardis; Obi L Griffith; Malachi Griffith
Journal:  Cancer Immunol Res       Date:  2020-01-06       Impact factor: 11.151
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