Evidence map›Paper›PMID 34113354›Full record

ArticleFrontiers in immunology2021

Improvement of Neoantigen Identification Through Convolution Neural Network.

Qing Hao, Ping Wei, Yang Shu, Yi-Guan Zhang, Heng Xu, Jun-Ning Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  10. Engineering neoantigen vaccines to improve cancer personalized immunotherapy.International journal of biological sciences · 2022
    Review
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

6 authors at 4 institutions in 1 country.

Qing HaoCollege of Pharmaceutical Sciences, Southwest Medical University, Luzhou, China.
Ping WeiSichuan Center for Translational Medicine of Traditional Chinese Medicine, State Key Laboratory of Quality Evaluation of Traditional Chinese Medicine, Sichuan Geoherbs System Engineering Technology Research Center of Chinese Medicine, Sichuan Provincial Key Laboratory of Quality Evaluation of Traditional Chinese Medicine and Innovative Chinese Medicine Research, Institute of Translational Pharmacology of Sichuan Academy of Chinese Medicine Sciences, Chengdu, China.
Yang ShuDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Yi-Guan ZhangCollege of Pharmaceutical Sciences, Southwest Medical University, Luzhou, China.
Heng XuDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jun-Ning ZhaoSichuan Center for Translational Medicine of Traditional Chinese Medicine, State Key Laboratory of Quality Evaluation of Traditional Chinese Medicine, Sichuan Geoherbs System Engineering Technology Research Center of Chinese Medicine, Sichuan Provincial Key Laboratory of Quality Evaluation of Traditional Chinese Medicine and Innovative Chinese Medicine Research, Institute of Translational Pharmacology of Sichuan Academy of Chinese Medicine Sciences, Chengdu, China.
Sichuan Academy of Traditional Chinese Medicine · CNSouthwest Medical University · CNSichuan University · CNState Key Laboratory of Biotherapy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of neoantigens and the subsequent elicited protective anti-tumor response are particularly important for the development of cancer vaccine and adoptive T-cell therapy. However, current algorithms for predicting neoantigens are limited by

Indexed as

Neural Networks, ComputerAlgorithmsAllelesAmino Acid MotifsAmino Acid SequenceAntigen PresentationAntigens, NeoplasmBiomarkers, TumorComputational BiologyConserved SequenceEpitope MappingEpitopesHLA AntigensHumansAntigens, NeoplasmBiomarkers, TumorEpitopesHLA AntigensCNNdriver mutationHLAneoantigenprediction

Identifiers

PMID34113354
PMCPMC8186784
OpenAlexW3165237916

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.