
This record contains summaries of the computational methods used, experimental data (csv & xlsx), identification of chemical hits, ranking of hits, visual representations of the computational methods used, and guidance material related to CACHE Challenge 1. More information about the challenge can be found on the CACHE Challenge webpage: https://cache-challenge.org/challenges/predict-hits-for-the-wdr-domain-of-lrrk2. If you use the data or other information contained in this record in the generation of a publication or other public research output, please reference this entry including the DOI in your methods section and data availibility statement (if applicable) and cite the following paper: A paper describing CACHE Challenge 1 has been published in the Journal of Chemical Information and Modeling. The paper can be found here: https://doi.org/10.1021/acs.jcim.4c01267
Computer Aided Drug Design, Artificial intelligence, Benchmarking, Open Science, Drug discovery, CADD, Hit Finding
Computer Aided Drug Design, Artificial intelligence, Benchmarking, Open Science, Drug discovery, CADD, Hit Finding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
