Evidence map›Paper›PMID 38276629›Full record

ReviewMolecules (Basel, Switzerland)2024

Lysine-Specific Demethylase 1 Inhibitors: A Comprehensive Review Utilizing Computer-Aided Drug Design Technologies.

Di Han, Jiarui Lu, Baoyi Fan, Wenfeng Lu, Yiwei Xue, Meiting Wang, Taigang Liu, Shaoli Cui, Qinghe Gao, Yingchao Duan and 1 more

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

11 authors.

Di HanSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0001-9531-0375
Jiarui LuSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0009-0002-2131-6728
Baoyi FanSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0002-8841-1685
Wenfeng LuSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.
Yiwei XueSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.
Meiting WangSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.
Taigang LiuSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.
Shaoli CuiSchool of Forensic, Xinxiang Medical University, Xinxiang 453003, China.
Qinghe GaoSchool of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0002-6207-8933
Yingchao DuanSchool of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China.
Yongtao XuSchool of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0002-4444-7790

Funding

Key Scientific Research Project of Higher Education Institutions in Henan Province No. 23A150007Key Scientific Research Project of Higher Education Institutions in Henan Province No. 24A150035National Natural Science Foundation of China No.21603180National Natural Science Foundation of China No. 22303075National Natural Science Foundation of China No. 22303076National Natural Science Foundation of China No. 82273816Natural Science Foundation of Henan No. 232300421046Science and Technology Research Project of Henan province No. 232102310389Scientific and technological innovation talents in Colleges and universities in Henan Province No. 22HASTIT050Scientific and technological innovation talents in Colleges and universities in Henan Province No. 24HASTIT070
6 · The paper itself

Abstract

Lysine-specific demethylase 1 (LSD1/KDM1A) has emerged as a promising therapeutic target for treating various cancers (such as breast cancer, liver cancer, etc.) and other diseases (blood diseases, cardiovascular diseases, etc.), owing to its observed overexpression, thereby presenting significant opportunities in drug development. Since its discovery in 2004, extensive research has been conducted on LSD1 inhibitors, with notable contributions from computational approaches. This review systematically summarizes LSD1 inhibitors investigated through computer-aided drug design (CADD) technologies since 2010, showcasing a diverse range of chemical scaffolds, including phenelzine derivatives, tranylcypromine (abbreviated as TCP or 2-PCPA) derivatives, nitrogen-containing heterocyclic (pyridine, pyrimidine, azole, thieno[3,2-b]pyrrole, indole, quinoline and benzoxazole) derivatives, natural products (including sanguinarine, phenolic compounds and resveratrol derivatives, flavonoids and other natural products) and others (including thiourea compounds, Fenoldopam and Raloxifene, (4-cyanophenyl)glycine derivatives, propargylamine and benzohydrazide derivatives and inhibitors discovered through AI techniques). Computational techniques, such as virtual screening, molecular docking and 3D-QSAR models, have played a pivotal role in elucidating the interactions between these inhibitors and LSD1. Moreover, the integration of cutting-edge technologies such as artificial intelligence holds promise in facilitating the discovery of novel LSD1 inhibitors. The comprehensive insights presented in this review aim to provide valuable information for advancing further research on LSD1 inhibitors.

Indexed as

Biological ProductsEnzyme InhibitorsArtificial IntelligenceDrug DesignHistone DemethylasesLysineMolecular Docking SimulationStructure-Activity RelationshipBiological ProductsEnzyme InhibitorsHistone DemethylasesLysinecomputer-aided drug designLSD1/KDM1A inhibitormolecular dockingmolecular dynamics simulationQSAR

Identifiers

PMID38276629
PMCPMC10821146

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.