Literature DB >> 34895059

Requirements of integrated computational approach for developing personalized cancer vaccines.

Elham Maserat1, Mohaddeseh Nasiri Hooshmand1.   

Abstract

Entities:  

Keywords:  Vaccine; cancer; computational approach

Mesh：

Substances：

Year:  2021        PMID： 34895059      PMCID： PMC8903985          DOI： 10.1080/21645515.2021.1991711

Source DB:  PubMed          Journal:  Hum Vaccin Immunother        ISSN： 2164-5515            Impact factor:   3.452


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  7 in total

1.  ACPS: An accurate bioinformatics tool for precision-based anti-cancer peptide generation via omics data.

Authors:  Aman Chandra Kaushik; Mengyang Li; Aamir Mehmood; Xiaofeng Dai; Dong-Qing Wei
Journal:  Chem Biol Drug Des       Date:  2020-09-20       Impact factor: 2.817

Review 2.  Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.

Authors:  L De Mattos-Arruda; M Vazquez; F Finotello; R Lepore; E Porta; J Hundal; P Amengual-Rigo; C K Y Ng; A Valencia; J Carrillo; T A Chan; V Guallar; N McGranahan; J Blanco; M Griffith
Journal:  Ann Oncol       Date:  2020-06-28       Impact factor: 32.976

3.  Exploration of the nanomedicine-design space with high-throughput screening and machine learning.

Authors:  Gokay Yamankurt; Eric J Berns; Albert Xue; Andrew Lee; Neda Bagheri; Milan Mrksich; Chad A Mirkin
Journal:  Nat Biomed Eng       Date:  2019-02-18       Impact factor: 25.671

Review 4.  Current methods of epitope identification for cancer vaccine design.

Authors:  Gregory A Cherryholmes; Sasha E Stanton; Mary L Disis
Journal:  Vaccine       Date:  2015-08-01       Impact factor: 3.641

5.  Predicting HLA class II antigen presentation through integrated deep learning.

Authors:  Binbin Chen; Michael S Khodadoust; Niclas Olsson; Lisa E Wagar; Ethan Fast; Chih Long Liu; Yagmur Muftuoglu; Brian J Sworder; Maximilian Diehn; Ronald Levy; Mark M Davis; Joshua E Elias; Russ B Altman; Ash A Alizadeh
Journal:  Nat Biotechnol       Date:  2019-10-14       Impact factor: 54.908

6.  MHCSeqNet: a deep neural network model for universal MHC binding prediction.

Authors:  Poomarin Phloyphisut; Natapol Pornputtapong; Sira Sriswasdi; Ekapol Chuangsuwanich
Journal:  BMC Bioinformatics       Date:  2019-05-28       Impact factor: 3.169

Review 7.  Immunogenomics in personalized cancer treatments.

Authors:  Kazuma Kiyotani; Yujiro Toyoshima; Yusuke Nakamura
Journal:  J Hum Genet       Date:  2021-06-30       Impact factor: 3.172
  7 in total
  1 in total

Review 1.  The progress of peptide vaccine clinical trials in gynecologic oncology.

Authors:  Mi Tang; Jiang-Hui Cai; Hao-Yang Diao; Wen-Mei Guo; Xiao Yang; ShaSha Xing
Journal:  Hum Vaccin Immunother       Date:  2022-06-10       Impact factor: 4.526
  1 in total

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