Drug Discovery Process Articles & Analysis
24 articles found
In the realm of drug discovery, kinase screening services have emerged as a pivotal tool for understanding complex cellular signaling pathways and identifying potential therapeutic targets. ...
Through this project, the POAI active machine learning technology constructed a predictive model of tumor sample response to NPDC’s targeted drugs in a highly efficient manner, saving approximately 18 months of wet lab work in the process. ...
In the realm of pharmacology and drug development, the assessment of drug permeability is essential. One of the most widely recognized in vitro models for evaluating the intestinal absorption of compounds is the Caco-2 permeability assay. ...
In our last blog, Peter discussed how AI is accelerating the drug discovery process and putting pressure on chemists, who must find ways of developing these potential drugs for subsequent testing or production. ...
ByBUCHI
This preparation contains a mixture of metabolic enzymes, including cytochrome P450s, which play a pivotal role in drug metabolism. By utilizing the S9 fraction in assays, researchers can simulate the metabolic processes that a drug will encounter in a living organism. ...
Preclinical drug discovery represents a critical phase in the development of new therapeutics. ...
Understanding the complex world of drug discovery and development necessitates familiarity with key players in cellular communication. ...
Glycan-Based Drug Discovery The study of glycan structures has led to the discovery of novel drug candidates targeting glycan-related pathways. ...
Due to all the previously described advantages presented by the zebrafish animal model, it has recently come to the fore in the drug discovery process (i) to identify molecules that specifically ameliorate disease phenotypes and (ii) to conduct detailed characterization studies around optimizing compounds with a focus not only on efficacy ( ...
By leveraging machine learning algorithms and computational tools, researchers can accurately predict the impact of genetic modifications and optimize the editing process. This not only accelerates the pace of research but also enhances the efficiency and accuracy of gene editing techniques, such as CRISPR-Cas9. ...
By leveraging machine learning algorithms and computational tools, researchers can accurately predict the impact of genetic modifications and optimize the editing process. This not only accelerates the pace of research but also enhances the efficiency and accuracy of gene editing techniques, such as CRISPR-Cas9. ...
The process of drug discovery is a complex and multifaceted endeavor, involving the integration of diverse scientific disciplines, including biology, chemistry, and computational science. ...
One critical element in the drug development process is drug metabolism and pharmacokinetics (DMPK), which refers to how a drug is absorbed, distributed, metabolized, and excreted (ADME) from the body. ...
One critical element in the drug development process is drug metabolism and pharmacokinetics (DMPK), which refers to how a drug is absorbed, distributed, metabolized, and excreted (ADME) from the body. ...
In the dynamic realm of drug discovery, the pursuit of innovative and effective treatments for diverse diseases demands groundbreaking approaches that can expedite the drug development lifecycle. ...
This article explores the various approaches, software tools, and techniques employed in molecular docking and highlights their potential in accelerating drug discovery. The Importance of Molecular Docking: Small molecules bind to proteins within surface cavities, making it essential to predict and understand these interactions accurately. ...
In the realm of modern medicine, the quest for new and effective drugs to combat various diseases is a continuous journey. Drug discovery, the process of identifying compounds that can potentially treat diseases, has seen a significant transformation in recent years, thanks to advancements in computational biology and artificial ...
Moreover, immortalized cell lines play a crucial role in drug discovery and development. They provide a cost-effective and efficient platform for testing the efficacy and toxicity of potential therapeutic agents. ...
In the fast-paced realm of drug discovery, scientists constantly seek innovative approaches to efficiently and cost-effectively identify potential drug candidates. ...
We heard from leaders who are applying AI at various stages across the drug discovery and development process. While the approaches differ, the overarching goal is often the same: bring better medicines to patients with less failure. ...