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1. The List–Varnek Collaboration at the Institute of Chemical Reaction Design and Discovery (ICReDD).

2. The List–Varnek Collaboration at the Institute of Chemical Reaction Design and Discovery (ICReDD).

6. Implementation of a soft grading system for chemistry in a Moodle plugin: reaction handling

7. De Novo Drug Design – Do We Really Want to Be 'Original'? : A Real-world Case Study on Colchicine-Site Tubulin Binders

9. Will we ever be able to accurately predict solubility?

10. An update of skin permeability data based on a systematic review of recent research

13. School of cheminformatics in Latin America

14. School of cheminformatics in Latin America

15. Implementation of a soft grading system for chemistry in a Moodle plugin

17. Computational screening methodology identifies effective solvents for CO2 capture

21. Challenges for Kinetics Predictions via Neural Network Potentials: A Wilkinson’s Catalyst Case

22. Discovery of novel chemical reactions by deep generative recurrent neural network

26. Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors.

27. Pre-Steady-State Kinetics of the SARS-CoV-2 Main Protease as a Powerful Tool for Antiviral Drug Discovery

34. Predicting S. aureus antimicrobial resistance with interpretable genomic space maps.

35. In Vitro Evaluation of In Silico Screening Approaches in Search for Selective ACE2 Binding Chemical Probes

36. French dispatch: GTM‐based analysis of the Chimiothèque Nationale Chemical Space.

37. Conjugated quantitative structure‐property relationship models: Prediction of kinetic characteristics linked by the Arrhenius equation.

39. Four Russian ships depart for Varnek vessel wreckage

40. A new approach to atom-to-atom mapping using the naive Bayesian classifier

41. An approach for automated detection of missing reagents and products in chemical reaction equations

42. Kinetic solubility: Experimental and machine‐learning modeling perspectives.

43. Chemical complexity challenge: Is multi‐instance machine learning a solution?

48. Challenges for Kinetics Predictions via Neural Network Potentials: A Wilkinson’s Catalyst Case

49. DMSO Solubility Assessment for Fragment-Based Screening

50. Challenges for Kinetics Predictions via Neural Network Potentials: A Wilkinson's Catalyst Case.

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