smina static binary (SourceForge net)
90
Structured Review
SourceForge net
smina static binary
Smina Static Binary, 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/binary/smina+static+binary/pmc06472484-401-9-14
Average 90 stars, based on 1 article reviews
Smina Static Binary, 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/binary/smina+static+binary/pmc06472484-401-9-14
Average 90 stars, based on 1 article reviews
smina static binary - by Bioz Stars,
2026-09
90/100 stars
Images
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
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.
Techniques Used: Software
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Software:Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: Guo-Wei Michigan State University y7qxv 0.5 Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: Koes University of Pittsburgh 7bi2k 0.56 docking performed with Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: Zou University of Missouri-Columbia fn2qt VEGFR2 0.53 docking performed with Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: 0.56 , docking performed with Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: Zou University of Missouri-Columbia 87mci 0.23 docking performed with Article Title: A practical guide to machine-learning scoring for structure-based virtual screening. Article Snippet: Structure-based virtual screening (SBVS) via docking has been used to discover active molecules for a range of therapeutic targets.. Chemical and protein data sets that contain integrated bioactivity information have increased both in number and in size.. Artificial intelligence and, more concretely, its machine-learning (ML) branch, including deep learning, have effectively exploited these data sets to build scoring functions (SFs) for SBVS against targets with an atomic-resolution 3D model (e.g., generated by X-ray crystallography or predicted by AlphaFold2). Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: 0.53 , docking performed with Article Title: D3R Grand Challenge 3: Blind Prediction of Protein-Ligand Poses and Affinity Rankings Article Snippet: 0.5 , docking performed with |