Review Article
Year: 2022 | Month: March | Volume: 12 | Issue: 3 | Pages: 346-357
DOI: https://doi.org/10.52403/ijhsr.20220345
Current Incorporation and Impact of Computational Biology in Alzheimer's Disease
Sadaf Naaz1,2, Sweety Guria Rani1,2, Purbasha Pati1,2, Kumari Surekha Mahto1,3, Shekhar Marandi1,3, Priyangulta Beck1,3, Neha Kumari1,4, Pooja Kumari1,4, Rupa Verma1,3, Nawed Anjum4, Mukesh Nitin1
1Department of Tech. Biosciences, Digianalix, South Samaj Street, Tharpakhna, Ranchi-834001, Jharkhand, India.
2Department of Biotechnology, Ranchi Women’s College, Circular Rd. Nagra Toli, Ranchi- 834001, Jharkhand, India.
3Department of Biotechnology, Ranchi University, Ranchi, Jharkhand, India.
4Department of Biotechnology, Birla Institute of Technology, Mesra-835215, Jharkhand, India.
Corresponding Author: Mukesh Nitin
ABSTRACT
Alzheimer’s disease (Senile Dementia) is a neurological disorder that slowly destroys memory and disseminates thinking skills. Approximately 5 million people are already affected by this disease in the United States. It shows that, up to 2060, the number of patients will increase threefold. With advances in computational biology and next-generation sequence, multiple experimentation are undergoing in exploring the novel and functional role of genes during Alzheimer’s disease. Recently development of next-generation sequence machine and bioinformatics has started to investigate the placement of genetics within the pathogenesis of Alzheimer’s disease, collectively with the consequences of genome-wide association studies (GWAS) that have implicated a number of the unconventional genes as risk factors. In this review we discuss the current scenario and advances in computational biology towards Alzheimer’s disease research.
Key words: Alzheimer’s disease, next-generation sequence, GWAS, computational modelling, bioinformatics.