Abstract
Movement disorders are a heterogeneous group of both common and rare neurological conditions characterized by abnormalities of motor functions and movement patterns. This work overviews recent successes and ongoing studies of repositioning relating to this disease group, which underscores the challenge of integrating the voluminous and heterogeneous findings required for making suitable drug repositioning decisions. In silico drug repositioning methods hold the promise of automated fusion of heterogeneous information sources, but the controllable, flexible and transparent incorporation of the expertise of medicinal chemists throughout the repositioning process remains an open challenge. In support of a more systematic approach toward repositioning, we summarize the application of a computational repurposing method based on statistically rooted knowledge fusion. To foster the spread of this technique, we provide a step-by-step guide to the complete workflow, together with a case study in Parkinson's disease.
Keywords: Movement disorders, Parkinson’s disease, in silico drug discovery, similarity search, data fusion, multiple kernel learning, multi-aspect drug repositioning.
Current Topics in Medicinal Chemistry
Title:Drug Repositioning for Treatment of Movement Disorders: From Serendipity to Rational Discovery Strategies
Volume: 13 Issue: 18
Author(s): Bence Bolgár, Ádám Arany, Gergely Temesi, Balázs Balogh, Péter Antal and Péter Mátyus
Affiliation:
Keywords: Movement disorders, Parkinson’s disease, in silico drug discovery, similarity search, data fusion, multiple kernel learning, multi-aspect drug repositioning.
Abstract: Movement disorders are a heterogeneous group of both common and rare neurological conditions characterized by abnormalities of motor functions and movement patterns. This work overviews recent successes and ongoing studies of repositioning relating to this disease group, which underscores the challenge of integrating the voluminous and heterogeneous findings required for making suitable drug repositioning decisions. In silico drug repositioning methods hold the promise of automated fusion of heterogeneous information sources, but the controllable, flexible and transparent incorporation of the expertise of medicinal chemists throughout the repositioning process remains an open challenge. In support of a more systematic approach toward repositioning, we summarize the application of a computational repurposing method based on statistically rooted knowledge fusion. To foster the spread of this technique, we provide a step-by-step guide to the complete workflow, together with a case study in Parkinson's disease.
Export Options
About this article
Cite this article as:
Bolgár Bence, Arany Ádám, Temesi Gergely, Balogh Balázs, Antal Péter and Mátyus Péter, Drug Repositioning for Treatment of Movement Disorders: From Serendipity to Rational Discovery Strategies, Current Topics in Medicinal Chemistry 2013; 13 (18) . https://dx.doi.org/10.2174/15680266113136660164
DOI https://dx.doi.org/10.2174/15680266113136660164 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
Call for Papers in Thematic Issues
AlphaFold in Medicinal Chemistry: Opportunities and Challenges
AlphaFold, a groundbreaking AI tool for protein structure prediction, is revolutionizing drug discovery. Its near-atomic accuracy unlocks new avenues for designing targeted drugs and performing efficient virtual screening. However, AlphaFold's static predictions lack the dynamic nature of proteins, crucial for understanding drug action. This is especially true for multi-domain proteins, ...read more
Artificial intelligence for Natural Products Discovery and Development
Our approach involves using computational methods to predict the potential therapeutic benefits of natural products by considering factors such as drug structure, targets, and interactions. We also employ multitarget analysis to understand the role of drug targets in disease pathways. We advocate for the use of artificial intelligence in predicting ...read more
Chemistry Based on Natural Products for Therapeutic Purposes
The development of new pharmaceuticals for a wide range of medical conditions has long relied on the identification of promising natural products (NPs). There are over sixty percent of cancer, infectious illness, and CNS disease medications that include an NP pharmacophore, according to the Food and Drug Administration. Since NP ...read more
Current Trends in Drug Discovery Based on Artificial Intelligence and Computer-Aided Drug Design
Drug development discovery has faced several challenges over the years. In fact, the evolution of classical approaches to modern methods using computational methods, or Computer-Aided Drug Design (CADD), has shown promising and essential results in any drug discovery campaign. Among these methods, molecular docking is one of the most notable ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Role of the Central Cholinergic System in the Therapeutics of Schizophrenia
Current Neuropharmacology Suicide Risk in Obsessive-Compulsive Disorder and Exploration of Risk Factors: A Systematic Review
Current Neuropharmacology Molecular Imaging of Stem Cell Transplantation for Neurodegenerative Diseases
Current Pharmaceutical Design Going up in Smoke? A Review of nAChRs-based Treatment Strategies for Improving Cognition in Schizophrenia
Current Pharmaceutical Design Gelatin Tannate: A Selective Biofilm-Forming, Gut Mucoprotectant for Acute Gastroenteritis in Children. A Short Narrative Review
Current Drug Therapy Skin as a Novel Route for Allergen-specific Immunotherapy
Current Pharmaceutical Design Sphingolipid Metabolism and Leukemia: A Potential for Novel Therapeutic Approaches
Anti-Cancer Agents in Medicinal Chemistry “Care-Getting”: A Conceptual Model of Marshalling Support Near the End of Life
Current Aging Science Introduction: Hepatocyte Growth Factor and Met Receptor, from Discovery to Therapeutic Implications
Current Signal Transduction Therapy What Makes Y Family Pols Potential Candidates for Molecular Targeted Therapies and Novel Biotechnological Applications
Current Molecular Medicine Experiments on Analysing Voice Production: Excised (Human, Animal) and In Vivo (Animal) Approaches
Current Bioinformatics Childhood and Adulthood Rural Residence Increases the Risk of Dementia: NEDICES Study
Current Alzheimer Research Sepsis-induced Cardiomyopathy
Current Cardiology Reviews Nasal Drug Delivery System-Factors Affecting and Applications
Current Drug Therapy P-gp Transporter and its Role in Neurodegenerative Diseases
Current Topics in Medicinal Chemistry Diabetes Gene Therapy: Potential and Challenges
Current Gene Therapy Recent Advances, Issues and Patents on Medical Nanorobots
Recent Patents on Engineering Advancements in the Treatment and Repair of Tendon Injuries
Current Tissue Engineering (Discontinued) The Developing Utility of Zebrafish Models for Cognitive Enhancers Research
Current Neuropharmacology Multifunctional Enzymes as Targets for the Treatment of Tuberculosis: Paving the Way for New Anti-TB Drugs
Current Medicinal Chemistry