Research in Bioinformatics

An introduction to Virtual Screening

CADD, Research in Bioinformatics

Virtual screening is a computational technique used in drug discovery to identify potential molecules with desired properties from large databases. Through simulations and predictive modeling, virtual screening evaluates the interactions between molecules and target proteins, predicting their binding affinities and potential biological activities. This approach accelerates the identification of promising candidates, streamlining the initial stages […]

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How Machine Learning Can Accelerate Small Molecule Drug Discovery

Research in Bioinformatics, Machine Learning

Small molecule drugs are compounds that can modulate the activity of biological targets, such as proteins, enzymes, or receptors, and have the potential to treat various diseases. These are the most common type of therapeutics, accounting for about 90% of the approved drugs on the market. However, discovering and developing new small molecule drugs is

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Current Challenges in Bioinformatics Research

Research in Bioinformatics

Bioinformatics is the application of computational methods to analyze biological data, such as DNA, RNA, proteins, and metabolites. Bioinformatics has become an essential tool for advancing our understanding of life sciences, as well as for developing new diagnostics, therapeutics, and biotechnology products. In this blog, we will explore some of the current trends and developments

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Power of Biological Data: The Role of Machine Learning in Bioinformatics

Research in Bioinformatics, Machine Learning

The field of bioinformatics has revolutionized our understanding of biology by harnessing the power of computational methods to analyze and interpret vast amounts of biological data. In recent years, machine learning (ML) has emerged as a transformative tool in bioinformatics, enabling researchers to make groundbreaking discoveries and address complex challenges in areas such as genomics,

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Bioinformatics Jobs and Scope in India – Top 10 Jobs in Bioinformatics

Research in Bioinformatics

Bioinformatics develops as a region of limitless possibility in the  science and technology, where biology converges with computing capability. Consider a future in which every strand of DNA contains the key to revolutionary discoveries and individualized therapy. Welcome to the dynamic world of Bioinformatics, a discipline that bridges conventional divides by combining biology, computer science,

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How CADD (Computational Aided Drug Design) help in drug discovery

Research in Bioinformatics, CADD

Medicine improves the quality of life by preventing or treating diseases. The fate of  a drug from its discovery to launch into the market involves multifaceted complicated junctures. The drug development (DD) process involves four crucial phases: discovery, preclinical studies, clinical development and market approval (Hughes et al., 2011; Velmurugan et al., 2020). The search

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Computer Aided Drug Design (CADD) and Machine Learning: Future of Drug Discovery

Research in Bioinformatics, CADD, Machine Learning

The route of drug development is analogous to traversing a difficult maze with high risks. Traditional procedures are both time-consuming and expensive, with frequently low success rates. According to a recent research, the average cost of producing a new medication is $2.6 billion, with fewer than 14% making it through the arduous approval procedure. Scientists

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Top Reasons to Choose an Online Bioinformatics Internship in India (2023-2024)

Research in Bioinformatics

Incorporating biology, computer science, mathematics, and statistics, bioinformatics is an interdisciplinary field dedicated to analyzing and interpreting biological data. Its applications span diverse areas of biological research, including genomics, proteomics, drug discovery, and personalized medicine. This rapidly evolving field holds promising opportunities for students and professionals passionate about both biology and technology. This career option

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Uniting Academic Bioinformatics and Industrial Bioinformatics for Advancements in Data-Driven Biology

NGS, Research in Bioinformatics

Bioinformatics, the intersection of biology and computational science, has emerged as a powerful tool in understanding and analyzing complex biological data. While academic research has made significant strides in this field, there exists a gap between academic bioinformatics and industrial bioinformatics. Bridging this gap is crucial for maximizing the potential of bioinformatics in real-world applications,

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