We have integrated multiple authoritative and comprehensive compound databases, combined with independent research and development technologies, to build a massive and structurally diverse proprietary compound library, providing a solid data foundation for virtual screening. This rich resource library not only covers a wide range of compound types and structural information, but also significantly expands the screening range, effectively reducing the possibility of missing potential active compounds. With this powerful data support, we can more efficiently and accurately screen out potential candidate compounds, provide a more reliable starting point for drug development and biological research, and help customers accelerate the innovation process.
2. Algorithm and accuracyThe self-developed virtual screening algorithm deeply integrates cutting-edge artificial intelligence technologies such as machine learning and deep learning. It can comprehensively consider multiple physical and chemical properties of compounds, interaction patterns with targets, pharmacokinetic characteristics and other multi-dimensional factors to achieve more accurate drug screening. Through multi-dimensional data analysis and intelligent algorithm optimization, this technology significantly improves the accuracy of screening results, effectively reduces false positive and false negative rates, and provides more reliable data support for drug research and development. This innovative technology not only greatly improves screening efficiency, but also provides strong technical support for accelerating the discovery and development of innovative drugs, helping customers achieve breakthrough progress in the field of drug research and development.
