Research in Bioinformatics

Genome Sequencing

Deep Learning in Genome Sequencing: Unveiling the Hidden Secrets of DNA

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 […]

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Unravelling the Power of Consensus Methods in Computer-Aided Drug Design

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

Decoding the Blueprint of Life: A Comprehensive Guide to Chromosomal Microarray (CMA) in Genetic Testing and Diagnosis

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

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Drug Response

How AI/ML Methods Can Help Predict Drug Response in Cancer Patients

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

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CADD

Unleashing the Potential of Computer-Aided Drug Design (CADD) in Drug Repurposing

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

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Bioinformatics scientist

How to Become a Bioinformatics Scientist

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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NGS

Target genes for NGS testing

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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Protein protein docking

Exploring AI/ML in Protein-Protein Docking

Protein-protein docking is the process of predicting the 3D structure of a protein complex formed by the interaction of two or more proteins. It is a challenging problem in computational biology, as it requires modelling the molecular interactions, conformational changes, and dynamics of the proteins involved. Protein-protein docking has many applications in drug discovery, biotechnology,

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