Evidence map›Paper›PMID 31819989›Full record

ArticleDatabase : the journal of biological databases and curation2019

NeoPeptide: an immunoinformatic database of T-cell-defined neoantigens.

Wei-Jun Zhou, Zhi Qu, Chao-Yang Song, Yang Sun, An-Li Lai, Ma-Yao Luo, Yu-Zhe Ying, Hu Meng, Zhao Liang, Yan-Jie He and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Wei-Jun ZhouDepartment of Hematology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Zhi QuSchool of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street,Nan Gang District, Harbin 150001, China.
Chao-Yang SongDepartment of Hematology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Yang SunThe Second Clinical Medical College (Zhujiang Hospital), Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
An-Li LaiThe Second Clinical Medical College (Zhujiang Hospital), Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Ma-Yao LuoThe Second Clinical Medical College (Zhujiang Hospital), Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Yu-Zhe YingThe Second Clinical Medical College (Zhujiang Hospital), Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Hu MengThe Second Clinical Medical College (Zhujiang Hospital), Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Zhao LiangDepartment of Hematology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Yan-Jie HeDepartment of Hematology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Yu-Hua LiDepartment of Hematology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Haizhu, Guangzhou 510282, China.
Jian LiuCollege of Computer Science, NanKai University, No.38 Tongyan Road, Jinnan District, Tianjin 300350, China.
Southern Medical University · CNZhujiang Hospital · CNHarbin Institute of Technology · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic vaccines represent a promising immunotherapeutic modality against cancer. Discovery and validation of antigens is the key to develop effective anti-cancer vaccines. Neoantigens, arising from somatic mutations in individual cancers, are considered as ideal cancer vaccine targets because of their immunogenicity and lack of expression in normal tissues. However, only few databases support convenient access to these neoantigens for use in vaccines. To address this gap, we developed a web-accessible database, called NeoPeptide, which contains most of the important characteristics of neoantigens (such as mutation site, subunit sequence, major histocompatibility complex restriction) derived from published literature and other immunological resources. NeoPeptide also provides links to resources for further characterization of the novel features of these neoantigens. NeoPeptide will be regularly updated with newly identified and published neoantigens. Our work will help researchers in identifying neoantigens in different cancers and hasten the search for appropriate cancer vaccine candidates.

Indexed as

Computational BiologyDatabases, ProteinAmino Acid SequenceFuzzy LogicPeptidesStatistics as TopicT-LymphocytesPeptides

Identifiers

PMID31819989
PMCPMC6901387
OpenAlexW2996488853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.