DNA sequencing is the process of determining the order of nucleotides (A, T, C, and G) in a DNA molecule. This information is essential for understanding the genetic basis of life, health, and disease. However, not all DNA sequencing methods are the same. Depending on the technology used, the length of the DNA fragments that […]
Introduction Computer-Aided Drug Design (CADD) is a dynamic field that bridges the gap between biology, chemistry, and computational science. It plays a pivotal role in drug discovery by leveraging computational techniques to design and optimize potential drug candidates. If you’ve recently completed an internship in this exciting domain, you’re well on your way to a
Career in Computer-Aided Drug Design: Unlocking the Future Read More »
One of the biggest obstacles to developing treatments with the appropriate toxicity and intended efficacy has been the off-target effects of medications taken systemically. The creation of targeting tactics to facilitate site-specific medication distribution has the potential to improve a medicine’s therapeutic efficacy by lowering undesirable toxicities and off-target effects. A substantial amount of research
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The human brain, with its intricate network of neurons and complex processes, remains one of the greatest mysteries of our time. Unveiling its secrets holds the potential to revolutionize our understanding of neurological disorders, mental health, and even consciousness itself. Enter the BRAIN Initiative, a bold multi-billion dollar effort launched by the US government to
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NGS analysis of cell-free DNA (cfDNA) is a rapidly advancing field with diverse applications in personalized medicine, particularly in the context of cancer diagnosis, treatment, and prognosis. This blog will provide an introduction to NGS and cfDNA, discuss NGS analysis methods, explore the applications of NGS in cfDNA, and address the challenges and future prospects
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Introduction: In the realm of life sciences, Explainable AI (XAI) stands as a transformative force, revolutionizing AI transparency and decision-making. In this article, we delve into the pivotal role of XAI within life sciences, exploring its applications and the benefits it extends to researchers, physicians, and patients alike. The Significance of XAI in Life Sciences:
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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
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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
