vina (plec score) (AUTODOCK GmbH)

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AUTODOCK GmbH vina (plec score)
Vina (Plec Score), supplied by AUTODOCK GmbH, 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/vina+(plec+score)/vina++plec+score+/pmc09446081__MSB___18___e11081___s003-181-247-246
Average 90 stars, based on 1 article reviews

vina (plec score) - by Bioz Stars, 2026-09

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Article Title: Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery
Article Snippet: 0.6 0.7 0.8 200 400 600 800 1000 1200 R:0.3986; p:0.20097 0.6 0.8 1 100 200 300 400 500 600 R:0.10526; p:0.74474 0.6 0.8 1 200 400 600 800 1000 1200 R:0.20979; p:0.51351 0.4 0.6 0.8 200 400 600 800 1000 1200 R:0.32168; p:0.30831 0.6 0.8 1 200 400 600 800 1000 1200 R:0.15061; p:0.64033 0.6 0.8 1 200 400 600 800 1000 1200 R:0.12609; p:0.69617 0.6 0.8 1 200 400 600 800 1000 1200 R:0.076923; p:0.81728 0.6 0.8 1 200 400 600 800 1000 1200 R:0.076923; p:0.81728 0.6 0.8 1 100 200 300 400 500 600 R:0; p:1 0 0.2 0.4 0.6 200 400 600 800 1000 1200 R:-0.11189; p:0.73278 0 0.05 0.1 0.15 100 200 300 400 500 600 R:0.13192; p:0.68276 0 0.2 0.4 0.6 200 400 600 800 1000 1200 R:-0.021127; p:0.94804 0 0.5 1 200 400 600 800 1000 1200 R:0.056042; p:0.86266 0 0.2 0.4 0.6 200 400 600 800 1000 1200 R:-0.11909; p:0.7124 0 0.2 0.4 0.6 200 400 600 800 1000 1200 R:-0.098594; p:0.76048 0 0.1 0.2 200 400 600 800 1000 1200 R:0.015596; p:0.96163 0 0.05 0.1 200 400 600 800 1000 1200 R:0.18722; p:0.56013 0 0.05 0.1 100 200 300 400 500 600 R:0.22506; p:0.48189 AutoDock Vina (RF-Score) AutoDock Vina (PLEC score) AutoDock Vina (NNScore) AutoDock Vina (RF-Score-VS) AutoDock Vina AutoDock Vina (RF-Score) AutoDock Vina AutoDock Vina (RF-Score) AutoDock Vina (NNScore) AutoDock Vina AutoDock Vina (RF-Score) AutoDock Vina (NNScore) AutoDock Vina (PLEC score) AutoDock Vina AutoDock Vina (RF-Score) AutoDock Vina (NNScore) AutoDock Vina (PLEC score) AutoDock Vina (RF-Score-VS) Model True positive rate (per protein or per ligand) Accuracy (per protein or per ligand) Pe r-p ro te in se qu en ce si m ila rit y PDBBind v2016 DUD-E Pe r-l ig an d Ta ni m ot o sim ila rit y PDBBind v2016 DUD-E Pe r-p ro te in se qu en ce si m ila rit y PDBBind v2016 DUD-E Pe r-l ig an d Ta ni m ot o sim ila rit y PDBBind v2016 DUD-E 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.11282; p:0.096624 0 0.5 1 0.2 0.4 0.6 0.8 1 R:0.031321; p:0.64558 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.0474; p:0.48629 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.19452; p:0.0039376 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.054172; p:0.42613 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.017601; p:0.79609 0 0.5 1 0.2 0.4 0.6 0.8 1 R:0.098443; p:0.14743 0 0.5 1 0.2 0.4 0.6 0.8 1 R:0.10089; p:0.13759 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.012823; p:0.85068 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.15534; p:0.05282 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.19866; p:0.012912 0 0.5 1 0.2 0.4 0.6 0.8 1 R:0.13453; p:0.094064 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.01259; p:0.87604 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.22585; p:0.0045844 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.2481; p:0.0017909 0 0.5 1 0.2 0.4 0.6 0.8 1 R:-0.044865; p:0.57812 0 0.2 0.4 0.6 0.2 0.4 0.6 0.8 1 R:0.013142; p:0.87065 0 0.2 0.4 0.6 0.2 0.4 0.6 0.8 1 R:-0.14927; p:0.062913 Fig. R1: Plots of protein and ligand similarity to the training set and model performance.

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