AI Drug Discovery-Frontend

Transform Drug Discovery innate AI solutions!

The AI Drug Discovery Frontend is an interface for a machine learning model and aims at bringing the results of big data analysis back into usability in drug discovery research. This unique approach enables participants such as researchers, scientists, as well as various industry stakeholders to easily interface with sophisticated artificial intelligence computational systems for drug discovery. Leveraging data visualization and molecular modelling interfaces, activities predictions and other computational tools, MolPort’n provides researchers tools to efficiently work with and analyze substantial data sets and identify potentially respectable drug leads. Despite that, the frontend reduces the number of steps of a user’s interactions with the system and allows users paying attention to the content of their research while benefiting from AI algorithms for identifying specific patterns and relationships in molecular data.

However, the AI Drug Discovery Frontend also has a strong built-in processing functionality and provides special options to meet the needs of different users. It is convenient to manipulate molecular data and perform calculations, accept changes in input data, and display the results in the form of sharp graphics and dashboards. Such a level of flexibility also contributes towards user interactivity, as well as improved working relations with a wide range of interdisciplinary teams. Through wrapping the complex AI technologies behind such functions, the frontend has equipped the researchers with additional tools that can help improve both the drug discovery timeline and compound selection to bring forward better treatments in the shortest possible time. Based on the role of usability and efficiency of the AI Drug Discovery Frontend indicates the development of a new direction in the pharmaceutical industry for the future of drug discovery.