The application starts 1st November 2023 The application deadline 1st January 2024 The final decision on the pre-selected appl...
Blog & News
Blog & News
The researchers can update their knowledge about the technologies that become open for drug discovery pro to serve in providing the researchers with high-quality research solutions in the shortest time by reading the regularly posted blog articles. Drug Discovery Pro regularly posts drug strategies to the news wall, allowing researchers to freely select the one that best suits their research objectives.
Machine learning and deep learning are two subfields of artificial intelligence. Both have their own advantages and disadvantages....
Machine learning (ML) is a powerful tool that has been increasingly used in drug discovery to accelerate the identification and op...
I. IntroductionToll-like receptors (TLRs) are a group of proteins that play a crucial role in the innate immune system by recogniz...
I. IntroductionHit identification is the process of identifying small molecules or compounds that have the potential to bind to a...
I. IntroductionHit identification strategies are essential in drug discovery, as they help identify compounds that have the potent...
I. IntroductionFragment-based drug discovery Fragment-based drug discovery (FBDD) is a powerful approach to drug development that...
Fragment-based drug discovery (FBDD) is a powerful approach that involves the screening of small, low molecular-weight compounds (...
I. IntroductionDeep learning is a subset of machine learning that utilizes artificial neural networks to model and solve complex p...
I. IntroductionHit validation is a crucial step in drug discovery that involves confirming the activity of a potential drug candid...
I. Introduction - Explanation of organ chips and their relevance in drug discovery Organ chips are microscale devices that...
I. Introduction Homology modeling is a computational technique used to predict the three-dimensional structure of a protein based...
Protein pocket identification is an essential step in drug discovery as it allows researchers to identify potential binding sites...
IntroductionThe process of drug discovery is a long and complex one. It can take up to 15 years and billions of dollars to brin...
Mega and Giga docking are virtual screening methods used to screen large chemical libraries for potential drug candidates. Mega do...
I. IntroductionSome of the emerging technologies and trends in target validation include CRISPR/Cas9 gene editing, high-throughput...
Machine learning and deep learning are both powerful tools in drug discovery, but they differ in their approaches and capabilities...
I. IntroductionCheminformatics is an interdisciplinary field that combines chemistry, computer science, and information technology...
I. IntroductionMachine learning is a subfield of artificial intelligence that enables computers to learn from data and improve the...
I. Introduction Covalent docking is a computational method used in drug discovery to predict the binding mode of a ligand to a pro...
I. IntroductionVirtual screening is a computational method used in drug discovery to identify potential drug candidates. It involv...
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