Evidence map›Paper›PMID 35958238›Full record

ArticleFrontiers in chemistry2022

Discovery of TIGIT inhibitors based on DEL and machine learning.

Feng Xiong, Mingao Yu, Honggui Xu, Zhenmin Zhong, Zhenwei Li, Yuhan Guo, Tianyuan Zhang, Zhixuan Zeng, Feng Jin, Xun He

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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  11. Small-molecule discovery through DNA-encoded libraries.Nature reviews. Drug discovery · 2023
    Review
  12. Article
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

10 authors.

Feng XiongShenzhen Innovation Center for Small Molecule Drug Discovery Co., Ltd., Shenzhen, China.
Mingao YuShenzhen NewDEL Biotech Co., Ltd., Shenzhen, China.
Honggui XuShenzhen NewDEL Biotech Co., Ltd., Shenzhen, China.
Zhenmin ZhongShenzhen Innovation Center for Small Molecule Drug Discovery Co., Ltd., Shenzhen, China.
Zhenwei LiShenzhen Innovation Center for Small Molecule Drug Discovery Co., Ltd., Shenzhen, China.
Yuhan GuoShenzhen NewDEL Biotech Co., Ltd., Shenzhen, China.
Tianyuan ZhangShenzhen NewDEL Biotech Co., Ltd., Shenzhen, China.
Zhixuan ZengShenzhen Innovation Center for Small Molecule Drug Discovery Co., Ltd., Shenzhen, China.
Feng JinShenzhen NewDEL Biotech Co., Ltd., Shenzhen, China.
Xun HeShenzhen Innovation Center for Small Molecule Drug Discovery Co., Ltd., Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery has entered a new period of vigorous development with advanced technologies such as DNA-encoded library (DEL) and artificial intelligence (AI). The previous DEL-AI combination has been successfully applied in the drug discovery of classical kinase and receptor targets mainly based on the known scaffold. So far, there is no report of the DEL-AI combination on inhibitors targeting protein-protein interaction, including those undruggable targets with few or unknown active scaffolds. Here, we applied DEL technology on the T cell immunoglobulin and ITIM domain (TIGIT) target, resulting in the unique hit compound

Indexed as

anti-tumorDNA-encoded librarymachine learningprotein-protein interactionTIGIT

Identifiers

PMID35958238
PMCPMC9360614

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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.