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High cholesterol is a common health concern affecting millions of people worldwide. However, some individuals may experience an inherited condition called Familial Hypercholesterolemia (FH), which significantly increases the risk of developing heart disease. This blog aims to provide a comprehensive overview of FH, its symptoms, diagnosis, and available treatment options. What is Familial Hypercholesterolemia? Familial […]

Introduction In drug design, pharmacophore is a critical concept that serves as the foundation for discovering and developing new drugs. It refers to the set of chemical and steric features that enables a drug molecule to interact with its target, such as a protein or an enzyme. Decoding pharmacophore is crucial to understanding the underlying

Introduction With the rise of genomic research, Next-Generation Sequencing (NGS) has become a crucial tool for scientists and researchers. NGS has revolutionized the way we study genomes by providing faster, more cost-effective, and high-throughput sequencing capabilities. In this blog post, we will explore the advancements in NGS and their impact on genomic research. NGS and

1. Introduction to Molecular Modeling in Drug Design   Molecular modeling is a powerful tool that has revolutionized the field of drug design. By utilizing computational techniques to study the behavior of molecules at the atomic level, scientists can predict the interactions between drugs and their biological targets with unprecedented accuracy. In this blog post,

Introduction: Proteins are vital for life, performing various functions crucial for organisms. Understanding their 3D structures is essential, yet experimental determination is challenging and resource-intensive. Computational methods offer a solution, with Template-based Modeling (TBM) and Free Modeling (FM) being the main approaches. Template-Based Modeling (TBM): TBM relies on existing structures as templates, assuming sequence similarity

Introduction Mendelian and complex genetic diseases pose significant challenges to both affected individuals and society. While Mendelian diseases result from mutations in a single gene, complex trait diseases arise from the accumulation of mutations in linked or unlinked genomic regions. Unfortunately, many of these conditions remain undiagnosed due to the limitations of conventional diagnostic tests.

Introduction The development of new therapies for diseases is a challenging and costly process that requires extensive research, testing, and approval. Many potential drugs fail to reach the market due to lack of efficacy, safety, or profitability. Therefore, there is a need for innovative and efficient methods to accelerate and improve the drug discovery and

Machine learning (ML) and next-generation sequencing (NGS) have significantly transformed genomics, offering valuable tools for understanding the structure, function, and evolution of genomes, as well as advancing disease diagnosis and treatment. ML, a subset of artificial intelligence, facilitates computers in learning from data and making predictions without explicit programming, while NGS is a high-throughput technique