Abstract

Neurodegenerative diseases (NDDs) are incurable and debilitating conditions that result in progressive degeneration and/or death of nerve cells in the central nervous system (CNS). Identification of viable therapeutic targets and new treatments for CNS disorders and in particular, for NDDs is a major challenge in the field of drug discovery. These difficulties can be attributed to the diversity of cells involved, extreme complexity of the neural circuits, the limited capacity for tissue regeneration, and our incomplete understanding of the underlying pathological processes. Drug discovery is a complex and multidisciplinary process. The screening attrition rate in current drug discovery protocols mean that only one viable drug may arise from millions of screened compounds resulting in the need to improve discovery technologies and protocols to address the multiple causes of attrition. This has identified the need to screen larger libraries where the use of efficient high-throughput screening (HTS) becomes key in the discovery process. HTS can investigate hundreds of thousands of compounds per day. However, if fewer compounds could be screened without compromising the probability of success, the cost and time would be largely reduced. To that end, recent advances in computer-aided design, in silico libraries, and molecular docking software combined with the upscaling of cell-based platforms have evolved to improve screening efficiency with higher predictability and clinical applicability. We review, here, the increasing role of HTS in contemporary drug discovery processes, in particular for NDDs, and evaluate the criteria underlying its successful application. We also discuss the requirement of HTS for novel NDD therapies and examine the major current challenges in validating new drug targets and developing new treatments for NDDs.

Highlights

  • IntroductionFluorescence-based aretoconsidered as one of thecausing primary detecfluorescent markers have the been a crucial methodtechniques in the past classify therapeutics tion methods [22]

  • high-throughput screening (HTS) is generally favored when little is known of the target, which precludes structure-based drug design, but it can be used in parallel with other strategies such as computational techniques and fragment-based drug design [4,5]

  • Only one out of every eight medicines analyzed were active in the central nervous system (CNS) and only 1% of the total number of drugs were clinically active in the CNS for diseases [68]

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Summary

Introduction

Fluorescence-based aretoconsidered as one of thecausing primary detecfluorescent markers have the been a crucial methodtechniques in the past classify therapeutics tion methods [22] This can mainly be attributed to the high sensitivity and diverse neuronal death [11,12,13]. We discuss the current challenges in validating new drug targets and developing new treatments for NDDs. we review the increasing role of HTS in the drug discovery process focusing on existing platforms that mimic healthy and diseased states of the CNS. We identify the main strengths and limitations in their applications towards identifying new therapeutic targets and therapeutics for NDDs. Druggable targets are scanned either virtually utilizing virtual compound structure libraries and/or by cell-based or biochemical testing of available peptide or chemical libraries via high-throughput screening (HTS).

Formats and Major Considerations for HTS Platforms
Cell-Based Assays
Biochemical Assays
Economics of HTS
Challenges in the Discovery of CNS Drugs
The Need for HTS in the Discovery of Drugs for NDDs
Modelling of NDDs for HTS
Findings
Current Challenges and Future Perspectives
Full Text
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