Drug designing is the process of finding new medications based on the knowledge of a biological target, such as a protein or a nucleic acid. Drug designing can be done by using various computational tools that can help predict the interaction and binding of a potential drug molecule with the target. In this blog, There […]
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In the ever-evolving landscape of healthcare, the fusion of machine learning and drug discovery has emerged as a transformative force. One of the key frontiers in this collaboration is the analysis of drug-target interactions, a realm where machine learning is reshaping the way we identify and understand potential therapeutic opportunities. Deciphering Drug-Target Interactions: A Vital
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Breast cancer is one of the most common and deadly cancers among women worldwide. It is estimated that more than 2 million new cases and 600,000 deaths occurred in 2020. Breast cancer is a heterogeneous disease, meaning that different tumors can have different genetic and molecular characteristics that affect their behavior and response to treatment.
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Next-generation sequencing (NGS) is a powerful technology that has revolutionized genomics research by enabling the rapid and comprehensive analysis of DNA and RNA molecules. NGS can sequence millions of DNA fragments simultaneously, providing insights into genome structure, genetic variations, gene expression, and epigenetic modifications. NGS has a wide range of applications in various fields, such
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Hit identification is the process of finding small molecules, also called hits, that can bind to a biological target and modify its function. It is the first committed step in a successful drug discovery project, and it can influence the outcome of the subsequent stages, such as hit-to-lead and lead optimization. Therefore, it is important
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Next-Generation Sequencing (NGS) has revolutionised the field of bioinformatics by enabling the rapid and cost-effective analysis of genomic data. Let’s explore the transformative impact of NGS on bioinformatics, its key advantages over traditional sequencing methods, and how it has opened new avenues for groundbreaking discoveries in genomics research. Next-Generation Sequencing Vs traditional methods: NGS has
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For decades, genetic engineering has been shrouded in mystery for the general public. Promising better crops and life-saving medical treatments sounds good, but tampering with DNA raises science fiction horrors of mutations gone wrong. Scientists in lab coats assured us it was too complex, too inaccurate, too dangerous for amateurs to meddle with the building
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Drug target hunting is a crucial step in drug discovery. It involves identifying and validating a biological target that can be modulated by a drug molecule to achieve a therapeutic effect. The process of drug target hunting is complex and requires a deep understanding of the underlying biology of the disease, the molecular mechanisms involved,
Protein structure visualization tools are software applications that allow users to view, manipulate, and analyze the three-dimensional (3D) structures of proteins and other biomolecules. These tools are essential for understanding the molecular architecture, function, and interactions of proteins, as well as for designing new drugs, vaccines, and biotechnologies. There are many protein structure visualization tools
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In the rapidly evolving field of genomics, next-generation sequencing (NGS) has revolutionized the way we study and understand genetic information. With the advent of NGS technologies, vast amounts of data are generated, requiring sophisticated computational tools to analyze and interpret the data effectively. In this comprehensive guide, we will explore a wide range of computational
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