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rdkit (SourceForge net)

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SourceForge net rdkit
Top 3 submissions, based on Kendall’s τ, for each affinity ranking challenge. Submission ID in bold font indicates a method that used machine learning. See for details.

Top 3 submissions, based on Kendall’s τ, for each affinity ranking challenge. Submission ID in bold font indicates a method that used machine learning. See for details.

Rdkit, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rdkit/pmc06472484-91-35-10?v=SourceForge+net
Average 90 stars, based on 1 article reviews

rdkit - by Bioz Stars, 2026-08

90/100 stars

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1) Product Images from "D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings"

Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings

Journal: Journal of computer-aided molecular design

doi: 10.1007/s10822-018-0180-4

Figure Legend Snippet: Top 3 submissions, based on Kendall’s τ, for each affinity ranking challenge. Submission ID in bold font indicates a method that used machine learning. See for details.

Techniques Used: Software

Top 3 submissions, based on Matthews correlation coefficient, for each affinity ranking challenge. Submission ID in bold font indicates a method that used machine learning. See for details.

Figure Legend Snippet: Top 3 submissions, based on Matthews correlation coefficient, for each affinity ranking challenge. Submission ID in bold font indicates a method that used machine learning. See for details.