Multi-target-Directed Ligands To Combat Neurodegenerative Diseases
Abstract
A review. The authors review the investigations reported in the past decade that illustrate the ability of medicinal chemists to design multi-target-directed ligands (MTDLs) to confront neurodegenerative diseases. The authors briefly illustrate the multifactorial nature of these diseases before discussing the possible development of MTDLs in light of the known mol. bases of the main neurodegenerative pathologies.
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Modulating more than one molecular target (a polypharmacological approach) is an effective way to attack multifactorial neurodegenerative diseases.
“This creates a simple but indisputable background to the idea of effectively attacking them through the modulation of more than one molecular target, that is, a polypharmacological approach.4”
From From combinations to multitarget-directed ligands: A continuum in Alzheimer’s disease polypharmacology (2021) · cites this paper as [4]
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- Authors
- Cavalli, A., Bolognesi, M. L., Minarini, A., Rosini, M., Tumiatti, V., Recanatini, M., & Melchiorre, C.
- Affiliations
- University of Bologna (IT)
- Department of Pharmaceutical Sciences, Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
- Corresponding author
- Cavalli, Andrea
- Melchiorre, Carlo
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-09
- Volume
- 51
- Issue
- 3
- Pages
- 347-372
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W1981775239
- Cited by
- 1,152
- References
- 242
- Citations by year
- 2026: 47 · 2025: 65 · 2024: 91 · 2023: 51 · 2022: 76 · 2021: 71 · 2020: 82 · 2019: 76 · 2018: 69 · 2017: 79 · 2016: 71 · 2015: 70 · 2014: 72 · 2013: 54 · 2012: 50
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- multi-target-directed ligands, neurodegenerative diseases, drug design
- MeSH terms
- Acetylcholinesterase, Alzheimer Disease, Antioxidants, Binding Sites, Calcium Channel Blockers, Chelating Agents, Cholinesterase Inhibitors, Humans, Huntington Disease, Ligands, Multiple Sclerosis, Parkinson Disease, Amyloid beta-Peptides, Neurofibrillary Tangles, Neurotransmitter Agents, Neurodegenerative Diseases, Plaque, Amyloid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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