Evidence map›Paper›PMID 24463342›Full record

ArticlePharmaceuticals (Basel, Switzerland)2014

From single target to multitarget/network therapeutics in Alzheimer's therapy.

Hailin Zheng, Mati Fridkin, Moussa Youdim

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
16.6field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. AI-Driven Polypharmacology in Small-Molecule Drug Discovery.International journal of molecular sciences · 2025
    Review
  10. Article
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  13. Article
  14. Article
  15. Therapeutic Candidates for Alzheimer's Disease: Saponins.International journal of molecular sciences · 2023
    Review
  16. Article
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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

3 authors at 2 institutions in 2 countries.

Hailin ZhengDepartment of Medicinal Chemistry, Intra-cellular Therapies Inc. 3960 Broadway, New York, NY 10032, USA. hailin20070109@hotmail.com.
Mati FridkinDepartment of Organic Chemistry, Weizmann Institute of Science, Rehovot 76100, Israel. mati.fridkin@weizmann.ac.il.
Moussa YoudimAbital Pharma Pipeline Ltd., Tel Aviv 6789141, Israel. youdim@tx.technion.ac.il.
Intra Cellular Therapies (United States) · USWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain network dysfunction in Alzheimer's disease (AD) involves many proteins (enzymes), processes and pathways, which overlap and influence one another in AD pathogenesis. This complexity challenges the dominant paradigm in drug discovery or a single-target drug for a single mechanism. Although this paradigm has achieved considerable success in some particular diseases, it has failed to provide effective approaches to AD therapy. Network medicines may offer alternative hope for effective treatment of AD and other complex diseases. In contrast to the single-target drug approach, network medicines employ a holistic approach to restore network dysfunction by simultaneously targeting key components in disease networks. In this paper, we explore several drugs either in the clinic or under development for AD therapy in term of their design strategies, diverse mechanisms of action and disease-modifying potential. These drugs act as multi-target ligands and may serve as leads for further development as network medicines.

Identifiers

PMID24463342
PMCPMC3942689
OpenAlexW1969838378

What OpenQuestion holds

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LicenceCC BY
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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.