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 […]
How AI/ML Methods Can Help Predict Drug Response in Cancer Patients Read More »
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
Unleashing the Potential of Computer-Aided Drug Design (CADD) in Drug Repurposing Read More »
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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Antibody-antigen docking is a special case of protein-protein docking, where one of the proteins is an antibody and the other is an antigen. Antibodies are proteins produced by the immune system that can recognize and bind to specific antigens, such as viruses, bacteria, or toxins. Antigens are molecules that can elicit an immune response by
AI/ML methods for antibody-antigen docking Read More »
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
Target genes for NGS testing Read More »
Bioinformatics is a rapidly growing field that combines biology, computer science, and mathematics to solve complex biological problems. It is an exciting and rewarding career choice for anyone who is passionate about science and technology. But what happens after you complete an internship in bioinformatics? How do you leverage your skills and experience to land
Life after internship in Bioinformatics Read More »
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,
Exploring AI/ML in Protein-Protein Docking Read More »
Small molecules, characterized by their low molecular weight (typically less than 900 Daltons), play a pivotal role in various scientific domains. Ranging from drugs and metabolites to hormones and neurotransmitters, these compounds offer a rich tapestry of organic and inorganic substances with diverse biological and pharmacological activities. Unraveling the mysteries of small molecules is made
Exploring Small Molecular Structure Databases: A Gateway to Chemical Insights Read More »
Bioinformatics is an exciting and rapidly evolving field that combines biology, computer science, mathematics, and statistics to solve complex biological problems. Bioinformaticians use computational tools and methods to analyze large-scale biological data, such as DNA sequences, gene expression, protein structures, and metabolic pathways. Bioinformatics has applications in various domains of life sciences, such as genomics,
Core Skills for Bioinformatics Jobs Read More »
Transcriptomics is the study of the complete set of RNA transcripts produced by a cell, tissue, or organism under specific conditions. Transcriptomics can help us understand the molecular mechanisms of gene regulation, cellular differentiation, development, and disease. However, traditional methods of transcriptomics, such as microarrays, have limitations in terms of accuracy, sensitivity, and specificity. RNA-Seq
Introduction to RNA-Seq: A Revolutionary Tool for Transcriptomics Read More »
