Neurodegenerative disorders(NDDs), such as Alzheimer’s disease (AD), Parkinson's disease (PD), and Amyotrophic lateral sclerosis (ALS), are formidable clinical illnesses whose diagnosis, treatment, and prognosis are complex. Understanding the cause of NDDs is challenging because of the complex nature of these diseases and the existence of dysregulations at different biological scales, ranging from mutations at the genetic level to structural and functional alterations of the brain at the clinical level. No effective treatment for AD has been found so far. Computational methods, especially those in bioinformatics and medical informatics, could be critical in solving this issue.
The datasets coming from high throughput 'omic' technologies have led to the discovery of candidate biomarkers and potential drug targets. In the post-genome era, numerous computational methods have been developed and applied to neurological research. With the assistance of biomarkers identified by computational methods, the disease can be diagnosed at its early stage. Based on next-generation sequencing (NGS) technologies, the risk gene loci and proteins can be detected. Furthermore, appropriate bioinformatics tools can help researchers explore the aetiology of neurodegenerative diseases, and reveal mechanisms of brain impairment. In addition, some biomarkers can be utilized to promote drug repurposing as well as de novo drug design. Finally, wet-lab experiments can also be developed that are compatible with computational methods for further validation.
Computational Methods and Tools
- Computational models of neurodegenerative disease progression (data-driven models and knowledge-driven models).
- Bioinformatics methods in identifying disease mechanisms of neurodegenerative disorders.
- Methods integrating medical images and sequencing data in neurodegenerative disorders.
- Drug repositioning and drug target prediction for neurodegenerative disorders.
- Validation of results from computational studies by wet-lab experiments.
CD ComputaBio offers comprehensive computational neurology services. Our group applies computational methods to study changes in motivation, memory and decision-making that occur in neurological disease. We combine pharmacological experiments to apply mathematical models to disease research problems. We also have multiple resources including academic research and preclinical works in the identification of a suitable disease target and its corresponding hit. Contact us for more service details.
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