Merge branch 'master' of github.com:rdkit/UGM_2020

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diff --git a/LightningTalks/DominiqueSydow_TeachOpenCADD_RDKitUGM2020.pdf b/LightningTalks/DominiqueSydow_TeachOpenCADD_RDKitUGM2020.pdf
diff --git a/LightningTalks/TAKA_RDKitUGM2020_LT.pdf b/LightningTalks/TAKA_RDKitUGM2020_LT.pdf
diff --git a/Presentations/AnneHersey_ChEMBL_Structure_Pipeline.pdf b/Presentations/AnneHersey_ChEMBL_Structure_Pipeline.pdf
diff --git a/Presentations/CarmenEsposito_Imbalance_Learning_UGM2020.pdf b/Presentations/CarmenEsposito_Imbalance_Learning_UGM2020.pdf
diff --git a/Presentations/ColeyAndKearnes-OpenReactionDatabase.pdf b/Presentations/ColeyAndKearnes-OpenReactionDatabase.pdf
diff --git a/Presentations/Cosgrove_Griffen_depictions_RDKit_UGM_2020_FINAL.pdf b/Presentations/Cosgrove_Griffen_depictions_RDKit_UGM_2020_FINAL.pdf
diff --git a/Presentations/CédricBouysset_From_RDKit_to_the_Universe.pdf b/Presentations/CédricBouysset_From_RDKit_to_the_Universe.pdf
diff --git a/Presentations/EsbenBjerrum- Machine learning for retrosynthetic prediction.pdf b/Presentations/EsbenBjerrum- Machine learning for retrosynthetic prediction.pdf
diff --git a/Presentations/LukasFriedrich_MELLODDY_TUNER_UGM2020.pdf b/Presentations/LukasFriedrich_MELLODDY_TUNER_UGM2020.pdf
diff --git a/Presentations/MarcelBaltruschat_pKa-predictions_UGM2020.pdf b/Presentations/MarcelBaltruschat_pKa-predictions_UGM2020.pdf
diff --git a/Presentations/RicardoRodriguezSchmidt_NewCIPLabelingCode.pdf b/Presentations/RicardoRodriguezSchmidt_NewCIPLabelingCode.pdf
diff --git a/Presentations/TuanLe_Neuraldecipher_UGM2020.pdf b/Presentations/TuanLe_Neuraldecipher_UGM2020.pdf
diff --git a/Presentations/guillaumegodin_RDKit_2020.pdf b/Presentations/guillaumegodin_RDKit_2020.pdf
diff --git a/info/curated_list_of_resources.md b/info/curated_list_of_resources.md
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+# Community-curated list of resources
+
+This list of resources was curated out of suggestions by the UGM attendees on the Discord server. Thanks everyone for your contributions!
+
+## Online media
+
+### Blogs about cheminformatics
+
+* https://iwatobipen.wordpress.com/
+* http://www.dalkescientific.com/writings/
+* https://rdkit.blogspot.com/
+* https://depth-first.com/
+* https://baoilleach.blogspot.com/
+* https://proteinsandwavefunctions.blogspot.com/
+* https://practicalcheminformatics.blogspot.com/
+* https://chembl.blogspot.com/
+* https://www.cheminformania.com/
+* https://efficientbits.blogspot.com/
+
+### Blogs about drug discovery and pharma industry
+
+* https://blogs.sciencemag.org/pipeline/
+* https://practicalfragments.blogspot.com/
+* http://www.drugdiscovery.net/
+
+### Curated tweets
+
+* https://paper.li/janhjensen/1416314690#/all
+
+## Literature
+
+### Books and learning material
+
+* https://books.google.de/books/about/Deep_Learning_for_the_Life_Sciences.html?id=tYFKuwEACAAJ
+* https://pubs.rsc.org/en/content/ebook/978-1-78801-547-9
+* https://pubs.rsc.org/en/content/ebook/978-1-78262-163-8
+* https://onlinelibrary.wiley.com/doi/book/10.1002/9781119161110
+* https://github.com/volkamerlab/teachopencadd
+
+### Papers
+
+* https://chemrxiv.org/articles/Data-Driven_Chemical_Reaction_Classification_with_Attention-Based_Neural_Networks/9897365
+
+## Other resources
+
+* https://github.com/hsiaoyi0504/awesome-cheminformatics#resources