Blog
Biomarker Discovery: Function and Advancement
Biomarker Discovery & Validation Biomarker discovery is defined as the process in which biological markers, or “biomarkers” for short, are evaluated and measured. This process begins with defining a biological process and analyzing for different types of biomarkers. These can be prognostic, diagnostic, or predictive to determine treatment efficacy or monitor patient safety. Expanding upon this definition, the World Health Organization defines this term as "almost any measurement reflecting an interaction between a biological system and a potential hazard, which may be chemical, physical, or biological.” Biomarkers are also an integral part of drug development as they help accurately determine drug safety and efficacy. In contemporary medicine, many clinical decisions are based upon laboratory test results. According to the Centers for Disease Control, these tests account for 70% of clinical decisions.
Biomarker Discovery: Function and Advancement
Biomarker Discovery & Validation Biomarker discovery is defined as the process in which biological markers, or “biomarkers” for short, are evaluated and measured. This process begins with defining a biological process and analyzing for different types of biomarkers. These can be prognostic, diagnostic, or predictive to determine treatment efficacy or monitor patient safety. Expanding upon this definition, the World Health Organization defines this term as "almost any measurement reflecting an interaction between a biological system and a potential hazard, which may be chemical, physical, or biological.” Biomarkers are also an integral part of drug development as they help accurately determine drug safety and efficacy. In contemporary medicine, many clinical decisions are based upon laboratory test results. According to the Centers for Disease Control, these tests account for 70% of clinical decisions.
Implementing a Scaled System for Drug Development
Why Scale Matters At VeriSIM Life, we pride ourselves on solving complex problems. After all, we’re working to simulate the entire human body! At the center of our efforts is the BIOiSIM platform: our core simulation technology that accurately predicts…
Implementing a Scaled System for Drug Development
Why Scale Matters At VeriSIM Life, we pride ourselves on solving complex problems. After all, we’re working to simulate the entire human body! At the center of our efforts is the BIOiSIM platform: our core simulation technology that accurately predicts…
How AI can be of Support to Drug Development
We have come a long way in human healthcare – from increasing average life expectancy, to controlling infectious diseases like AIDS and tuberculosis. Despite the acceleration in pharmacological and technological advances over the years that contributed to this success, the…
How AI can be of Support to Drug Development
We have come a long way in human healthcare – from increasing average life expectancy, to controlling infectious diseases like AIDS and tuberculosis. Despite the acceleration in pharmacological and technological advances over the years that contributed to this success, the…
Genentech & VeriSIM discuss present and future scenarios for drug development in pharma
They explain how VeriSIM is changing drug discovery and development and why more and more drugs are being developed “in silico.” They also discuss how startups can work in harmony with big companies and how big pharma has become much…
Genentech & VeriSIM discuss present and future scenarios for drug development in pharma
They explain how VeriSIM is changing drug discovery and development and why more and more drugs are being developed “in silico.” They also discuss how startups can work in harmony with big companies and how big pharma has become much…
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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.
