Technology

SBDD

Structure-Based Drug Design: A Blueprint for Targeted Therapies

Structure-Based Drug Design (SBDD), also known as rational drug design, is a powerful approach in the field of pharmaceutical research. It involves leveraging our understanding of the three-dimensional structures of biological molecules (such as proteins) to design or identify potential drug candidates. Let’s delve into the fascinating world of SBDD and explore how it shapes […]

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Next-Generation Sequencing

Computational Tools for Next-Generation Sequencing Analysis

Next-generation sequencing (NGS) is a revolutionary technology that has enabled the rapid and high-throughput generation of massive amounts of genomic data. NGS has transformed the fields of biology, medicine, and biotechnology by providing unprecedented insights into the structure, function, and evolution of genomes. However, NGS also poses significant challenges for data analysis, as the raw

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Tools & Databases for Cancer Prognosis

Cancer prognosis involves predicting outcomes like survival time and treatment response. Researchers use bioinformatics tools and databases for screening prognostic biomarkers. Some tools include: LOGpc: Enables survival analysis based on gene expression data from 20 cancer types in TCGA. Users input genes and cancer type for Kaplan-Meier curves. KM plotter: Integrates gene expression and clinical

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AI biotech

The Transformative Impact of AI in Biotechnology: From Agriculture to Medicine

Biotechnology is experiencing a groundbreaking transformation with the integration of Artificial Intelligence (AI) and Machine Learning (ML). This fusion is reshaping industries, enhancing efficiency, and contributing to crucial fields like agriculture, forestry, medicine, and bioinformatics. In this blog, we’ll delve into the significant strides AI is making in agricultural biotechnology, forest biotechnology, medical biotechnology, animal

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Latest Advancements in the field of Bioinformatics 2023

The field of bioinformatics has witnessed significant advancements in 2023, paving the way for transformative applications in biological research, medicine, and healthcare.  Some of the key developments include: AI in Drug Discovery: Artificial Intelligence (AI) and machine learning (ML) are revolutionizing drug discovery by accelerating the prediction of molecular interactions and the identification of potential

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GPU Accelerated Molecular Dynamics: A Powerful Tool for Computational Science

Molecular dynamics (MD) is a computational method that simulates the motions and interactions of atoms and molecules in various systems and conditions. MD can provide valuable insights into the structure, dynamics, and function of biological macromolecules, materials, and nanodevices. However, MD simulations are also very computationally demanding, requiring a large amount of CPU time and

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