A highly reliable hERG inhibition prediction tool that eliminates cardiotoxicity risks early in drug development!
Optimization of pharmacokinetic and toxicity parameters is an important goal throughout the drug discovery project. The "ADMET Group" applies machine learning techniques to curated datasets to create reliable predictive models. By predicting hERG inhibition using trained models, we can assess the cardiotoxicity risk of candidate compounds. 【Features】 ■ Application of machine learning techniques to curated datasets ■ Creation of reliable predictive models ■ Prediction of hERG inhibition using trained models ■ Ability to assess cardiotoxicity risk of candidate compounds *For more details, please refer to the PDF materials or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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【Purpose】 ■Eliminate cardiotoxicity risks early in drug discovery 【Usage】 ■As a plugin for Marvin Sketch ■As a cxcalc command line tool ■As a feature of Chemical Terms ■Utilizing various APIs such as Java, .NET, and Microservices for use in custom applications *For more details, please refer to the PDF document or feel free to contact us. *For more details, please refer to the PDF document or feel free to contact us.
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Patocoa Inc. is a specialized company in drug discovery support systems. Additionally, we focus on improving and streamlining compliance-related operations concerning regulated substances, and we have provided various solutions to pharmaceutical companies, chemical companies, universities, and government agencies. We contribute to accelerating drug discovery and reducing costs with our cutting-edge chemoinformatics systems.
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