In recent years, quantum computing has emerged as a revolutionary technology with the potential to significantly impact drug discovery. Traditional computers often struggle with the complexity of drug discovery processes, but quantum computing, which leverages the laws of quantum mechanics, holds the promise of tackling these challenges more effectively. This blog will explore the applications […]
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In the era of big data, where vast amounts of information are generated daily, one area that has seen significant advancements is genome sequencing. This scientific breakthrough has revolutionized the field of genomics, enabling researchers to explore the intricacies of DNA and unlock its secrets. Deep learning, an advanced branch of artificial intelligence, has emerged
Deep Learning in Genome Sequencing: Unveiling the Hidden Secrets of DNA Read More »
Introduction: Computer-aided drug design (CADD) stands at the forefront of modern drug discovery, utilising computational methods to unveil, optimise, and evaluate potential drug candidates. This multidisciplinary approach is categorised into structure-based drug design (SBDD) and ligand-based drug design (LBDD), each aiming to identify molecules with high affinity, specificity, and favourable pharmacokinetic and pharmacodynamic properties. Challenges
Unravelling the Power of Consensus Methods in Computer-Aided Drug Design Read More »
Chromosomal microarray (CMA) is a genetic test that can detect changes in the number or structure of chromosomes in the genome. CMA can help diagnose various genetic conditions, such as developmental delay, intellectual disability, autism spectrum disorders, or multiple congenital anomalies. In this blog, I will explain what CMA is, how it works, when it
Cancer is a complex and heterogeneous disease that affects millions of people worldwide. One of the biggest challenges in cancer treatment is finding the right drug for each patient, as different patients may respond differently to the same drug. This is where AI/ML methods can help, by using large-scale data sets of molecular features and
How AI/ML Methods Can Help Predict Drug Response in Cancer Patients Read More »
Introduction Drug repurposing, also known as drug repositioning or drug reprofiling, stands as a promising strategy for discovering new therapeutic uses for existing drugs. This approach accelerates drug development, saving valuable time, resources, and costs compared to the traditional route of creating new drugs. The realm of drug repurposing becomes even more intriguing with the
Unleashing the Potential of Computer-Aided Drug Design (CADD) in Drug Repurposing Read More »
Bioinformatics is the field that combines biology, computer science, and mathematics to analyze and interpret biological data. Bioinformatics scientists use computational tools and techniques to solve problems in genomics, proteomics, drug discovery, and other areas of life sciences. If you are interested in becoming a bioinformatics scientist, here are some steps you can follow: Step
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Antibody-antigen docking is a special case of protein-protein docking, where one of the proteins is an antibody and the other is an antigen. Antibodies are proteins produced by the immune system that can recognize and bind to specific antigens, such as viruses, bacteria, or toxins. Antigens are molecules that can elicit an immune response by
AI/ML methods for antibody-antigen docking Read More »
Next-generation sequencing (NGS) is a powerful technology that enables rapid and comprehensive analysis of genetic variation in various samples. NGS can be used for different applications, such as diagnosing inherited diseases, identifying cancer mutations, detecting infectious agents, and studying pharmacogenomics. However, NGS also generates a large amount of data that can be challenging to interpret
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Bioinformatics is a rapidly growing field that combines biology, computer science, and mathematics to solve complex biological problems. It is an exciting and rewarding career choice for anyone who is passionate about science and technology. But what happens after you complete an internship in bioinformatics? How do you leverage your skills and experience to land
Life after internship in Bioinformatics Read More »
