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Chemical Absorption Explained in Simple Terms
In pharmacology, absorption is studied as part of drug development and during clinical trials. In this context, absorption is the process by which a drug moves from the delivery site into the bloodstream.
Chemical Absorption Explained in Simple Terms
In pharmacology, absorption is studied as part of drug development and during clinical trials. In this context, absorption is the process by which a drug moves from the delivery site into the bloodstream.
Gene Expression Profiling: What It Is and How to Do It
Understanding the why, when and how of gene expression is a complex science. Gene expression profiling gives biomedical researchers a critical tool for developing and testing their hypotheses, helping them form a deeper, more comprehensive picture of cell function and biology. Looking toward the future, emerging applications of RNA-sequencing tools are likely to continue to evolve gene expression profiling – driving the discovery of new disease biomarkers and therapeutic drug targets.
Gene Expression Profiling: What It Is and How to Do It
Understanding the why, when and how of gene expression is a complex science. Gene expression profiling gives biomedical researchers a critical tool for developing and testing their hypotheses, helping them form a deeper, more comprehensive picture of cell function and biology. Looking toward the future, emerging applications of RNA-sequencing tools are likely to continue to evolve gene expression profiling – driving the discovery of new disease biomarkers and therapeutic drug targets.
Animal Experimentation Reduction Methods and Best Practices
Animal experimentation reduction techniques offer a variety of partial solutions to the enduring controversial issue of animal use in scientific research. In the United States alone, The Humane Society estimates that over 50 million animals are used in experiments annually.
Animal Experimentation Reduction Methods and Best Practices
Animal experimentation reduction techniques offer a variety of partial solutions to the enduring controversial issue of animal use in scientific research. In the United States alone, The Humane Society estimates that over 50 million animals are used in experiments annually.
What Is the Translational Gap and How Do You Close It?
Drug discovery has a translatability problem. The National Institutes of Health (NIH) once famously reported that for every drug that receives FDA approval, another 1,000 fail. In drug development, translatability refers to the basic principle of taking scientific findings from a laboratory setting and successfully translating them as therapeutic patient treatments in a clinical setting. This is sometimes also referred to as the bench-to-bedside process.
What Is the Translational Gap and How Do You Close It?
Drug discovery has a translatability problem. The National Institutes of Health (NIH) once famously reported that for every drug that receives FDA approval, another 1,000 fail. In drug development, translatability refers to the basic principle of taking scientific findings from a laboratory setting and successfully translating them as therapeutic patient treatments in a clinical setting. This is sometimes also referred to as the bench-to-bedside process.
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Introducing AtlasGEN™ Novel Drug Designer
AtlasGEN Novel Drug Designer efficiently identifies new molecules based on favorable chemical properties and simultaneously evaluates them for clinical safety and effectiveness based on biology using VeriSIM Life’s groundbreaking Translational Index™ technology.
Iterative ranking of target engaging hits by their Translational Index values reduces the time and cost associated with other computational hit discovery approaches, while compressing the hit-to-lead refinement and optimization process by pre-validating hits for translatability. This unique integration dramatically reduces the number of compounds to evaluate in subsequent experimental research.
The ability to generate target engaging compound hits depends largely on the size of the molecular search library. The AtlasGEN search space is supported by more than 1 trillion compounds. Generative AI and deep learning techniques deliver unprecedented discovery capability.
AtlasGEN accurately predicts protein-lygand binding affinity by combining geometric conformer analysis with machine learning based on experimental data 72% more efficiently than molecular docking-based approaches.
