Hands-on Workshops

Molecular dynamics (MD) simulations are computational techniques used in insilico macromolecular modeling to study the behavior and interactions of biomolecular systems at the atomic level. By simulating the movements of atoms over time, MD simulations provide valuable insights into protein dynamics, conformational changes, and binding mechanisms. In this blog post, we will explore the theory

In the pursuit of a sustainable and carbon-neutral future, green hydrogen has emerged as a promising alternative energy source. Produced through the process of electrolysis using renewable energy, green hydrogen offers several advantages over conventional fossil fuels. In this blog, we will delve into the various benefits of green hydrogen and explore its potential as

Introduction: As the world faces the urgent need to address climate change and reduce greenhouse gas emissions, the role of green hydrogen has emerged as a promising solution. Green hydrogen, produced through electrolysis powered by renewable energy sources, holds immense potential in decarbonizing industries. In this blog, we will delve into the various ways green

Insilico macromolecular modeling has revolutionized the field of structural biology and drug discovery by providing valuable insights into the structure, dynamics, and interactions of macromolecules. However, purely computational approaches have limitations, and bridging the gap between theoretical simulations and experimental reality is crucial. Integrative approaches in insilico macromolecular modeling combine computational methods with experimental data,

The global COVID-19 pandemic has presented an unprecedented challenge, necessitating the rapid development of effective treatments and therapies. Insilico modeling and docking techniques have emerged as crucial tools in the fight against COVID-19, leveraging computational methods to accelerate drug discovery efforts. In this blog post, we will explore how insilico modeling and docking techniques are

Genome data sequencing has transformed the field of genomics, enabling researchers to explore the intricacies of the genetic blueprint. To extract meaningful insights from vast amounts of genomic data, scientists rely on a range of bioinformatics tools specifically designed for data analysis and interpretation. In this article, we will explore essential tools used in genome

RNA sequencing (RNA-seq) has emerged as a powerful technique that enables comprehensive exploration of the transcriptome, providing insights into gene expression patterns and molecular processes. Next-generation sequencing (NGS) has revolutionized RNA-seq, making it more accessible, cost-effective, and scalable. In this article, we will delve into the world of RNA sequencing through NGS, highlighting its importance

Next-generation sequencing (NGS) has revolutionized genomics research, enabling scientists to explore the complexities of the genome with unprecedented precision. To fully harness the potential of NGS data, researchers rely on advanced data analysis tools and platforms. Among these platforms, the Galaxy platform stands out as a powerful resource that facilitates NGS data analysis, making it

Molecular docking plays a crucial role in drug discovery, allowing scientists to predict the interactions between small molecules and target proteins. While traditional docking methods have made significant contributions to the field, next-generation molecular docking techniques have emerged, pushing the boundaries of accuracy and efficiency. These advanced techniques go beyond traditional methods, incorporating improved scoring