Evidence map›Paper›PMID 37110831›Full record

ArticleMolecules (Basel, Switzerland)2023

Development of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer's Disease.

Le-Quang Bao, Daniel Baecker, Do Thi Mai Dung, Nguyen Phuong Nhung, Nguyen Thi Thuan, Phuong Linh Nguyen, Phan Thi Phuong Dung, Tran Thi Lan Huong, Bakhtiyor Rasulev, Gerardo M Casanola-Martin and 2 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors.

Le-Quang BaoDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.ORCID 0009-0005-4236-080X
Daniel BaeckerDepartment of Pharmaceutical and Medicinal Chemistry, Institute of Pharmacy, University of Greifswald, Friedrich-Ludwig-Jahn-Straße 17, 17489 Greifswald, Germany.ORCID 0000-0002-1963-9838
Do Thi Mai DungDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Nguyen Phuong NhungDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Nguyen Thi ThuanDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Phuong Linh NguyenCollege of Computing & Informatics, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA.
Phan Thi Phuong DungDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Tran Thi Lan HuongDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Bakhtiyor RasulevDepartment of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND 58102, USA.ORCID 0000-0002-7845-4884
Gerardo M Casanola-MartinDepartment of Coatings and Polymeric Materials, North Dakota State University, Fargo, ND 58102, USA.ORCID 0000-0003-0383-2032
Nguyen-Hai NamDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.
Hai Pham-TheDepartment of Pharmaceutical Chemistry, Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi 10000, Vietnam.ORCID 0000-0003-4531-7223

Funding

National Foundation for Science and Technology Development 104.01-2018.301
6 · The paper itself

Abstract

Multi-target drug development has become an attractive strategy in the discovery of drugs to treat of Alzheimer's disease (AzD). In this study, for the first time, a rule-based machine learning (ML) approach with classification trees (CT) was applied for the rational design of novel dual-target acetylcholinesterase (AChE) and

Indexed as

AcetylcholinesteraseAlzheimer DiseaseAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesCholinesterase InhibitorsHumansMolecular Docking SimulationAcetylcholinesteraseAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanCholinesterase InhibitorsAChEAlzheimer’s diseaseBACE1dual-target inhibitorfragment designQSAR

Identifiers

PMID37110831
PMCPMC10142303

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.