Automated Chemical Structure Extraction

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Automating chemical structure extraction from literature repositories such as, pdf documents, journals, images, into machine a machine-readable format. This is designed to extrapolate a wealth of data from an otherwise manual resource that can be used in large quantities to tackle ongoing unoptimized processes within the chemical industry. It also presents the potential for an expansive solution to the currently unsolved reliability problem of converting molecular structures to different formats using Image Recognition. By automating such an untapped resource; this opens opportunities for more data driven optimisation to help in the need for optimising chemical reaction/mechanism steps.Proposed solution and methodologyUse image recognition to autonomously segment images from journal articles and other resources to collect a wealth of machine-readable instances of molecules. The current proposed methodology is to use an end to end deep learning pipeline to define the stages of segmentation to conversion.