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[ First integrated drug discovery and development centre](https://www.youtube.com/@h3ddrugdiscoveryanddevel-ke3xc)
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Based on discussions from gitter https://gitter.im/usegalaxy-eu/Lobby @praveenkumarpgiindia
Does Galaxy have a tool to predict the synthetic reaction of drugs? Or to evaluate between different sy…
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Dragonn (http://kundajelab.github.io/dragonn/) is the most mature deep learning library for genomic data. Would it be possible to adapt dragonn models for drug discovery?
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**Describe the bug**
[Brenk filter](https://github.com/rdkit/rdkit/blob/e4f4644a89d6446ddebda0bf396fa4335324c41c/Code/GraphMol/FilterCatalog/brenk.in) and [Dundee filter](https://github.com/rdkit/r…
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resources:
- coursera has a specialization from UC San diego
https://www.coursera.org/specializations/drug-development-product-management#courses
- stanford had(?) a computational drug discover…
vvksh updated
3 years ago
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### Is your feature request related to a problem? Please describe.
Use the XGBoost algorithm to reduce the time of drug discovery. The data-set is present in python library chembl-webresource-client…
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#### Related to Epidemiology
- [Mining Internet search and social media for epidemiology; Kristin Isaacs et al. (2014)](https://www.accessscience.com/content/article/aYB140427)
- [Epidemiology Cha…
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Dear Chai Discovery Team,
First of all, I want to express my gratitude for making the Chai-1 codebase open-source and accessible to the community. Your work is truly invaluable and has great potent…
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Open drug discovery projects have several advantages, _and one of those needs to be the ease with which people can contribute physical samples for evaluation_: either molecules they have made for the …
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https://doi.org/10.1021/acscentsci.6b00367 (preprint https://arxiv.org/abs/1611.03199)
> Recent advances in machine learning have made significant contributions to drug discovery. Deep neural netwo…