Christian Tyrchan

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Exploring the chemical and biological space covered by patent applications is crucial in early-stage medicinal chemistry activities. Patent analysis can provide understanding of compound prior art, novelty checking, validation of biological assays, and identification of new starting points for chemical exploration. Extracting chemical and biological(More)
In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target. In this work, we show that recurrent neural networks can be trained as generative models for molecular structures, similar to statistical language models in natural language processing. We demonstrate that the properties(More)
The increase in drug research output from patent applications, together with the expansion of public data collections, such as ChEMBL and PubChem BioAssay, has made it essential for pharmaceutical companies to integrate both internal and external 'SAR estate'. The AstraZeneca response has been the development of an enterprise application, Chemistry Connect,(More)
In this study we evaluated a set of molecular fingerprint methods with respect to their capability to reproduce similarities in the biological activity space. The evaluation presented in this paper is therefore different from many other fingerprint studies, in which the enrichment of active compounds binding to the same target as selected query structures(More)
The metabolism of aromatic and heteroaromatic amines (ArNH₂) results in nitrenium ions (ArNH⁺) that modify nucleobases of DNA, primarily deoxyguanosine (dG), by forming dG-C8 adducts. The activated amine nitrogen in ArNH⁺ reacts with the C8 of dG, which gives rise to mutations in DNA. For the most mutagenic ArNH₂, including the majority of known genotoxic(More)
We performed a comparison of several simple physicochemical properties between marketed drugs, clinical candidates and bioactive compounds using commercially available databases (GVKBIO, Hyderabad, India). In contrast to previous studies this comparison was performed at the individual target level. Confirming earlier studies this shows that marketed drugs(More)
A major remark made by observers relates to the focus of the pharmaceutical industry on 'me-too' drugs rather than 'first-in-class' drugs, the latter are considered to be 'truly' innovative medicines. Although the subject is heavily debated, chemists in project teams around the globe are routinely following up compounds from competitors. An important(More)
Macrocycles are of increasing interest as chemical probes and drugs for intractable targets like protein-protein interactions, but the determinants of their cell permeability and oral absorption are poorly understood. To enable rational design of cell-permeable macrocycles, we generated an extensive data set under consistent experimental conditions for more(More)
Patent specifications are one of many information sources needed to progress drug discovery projects. Understanding compound prior art and novelty checking, validation of biological assays, and identification of new starting points for chemical explorations are a few areas where patent analysis is an important component. Cheminformatics methods can be used(More)
Computer-aided drug design plays an important role in medicinal chemistry to obtain insights into molecular mechanisms and to prioritize design strategies. Although significant improvement has been made in structure based design, it still remains a key challenge to accurately model and predict induced fit mechanisms. Most of the current available techniques(More)