… of probabilistic networks known as Bayesian inference network (BIN). A Bayesian network is
… BINs are also known as “belief networks”, “causal probabilistic networks” “casual nets” and “…

… use of Bayesian inference networks for the implementation of similarity-based virtual screening.
Our … databases show that the networks provide an effective tool for ligand-based virtual …

… In recent years, the rapid development of network-based methods for the … of virtual screening
(VS), namely, network-based VS. Herein, we reported a novel network-based inference …

… use of Bayesian networks as an alternative to existing tools for similarity-based virtual
screening. In our recent work, the retrieval performance of the Bayesian inference network (BIN) …

… authors enhance the Bayesian inference network (BIN) using … Simulated virtual screening
experiments with three MDL … of ligand-based virtual screening searches, especially for higher …

… In this paper, we focus on the Bayesian inference network (BIN) model, which models
molecules and reference structures as probabilistic inference networks. BINs were originally …

… inference network (BIN) provides an interesting alternative to existing tools for similarity-based
virtual screening. … form of Bayesian network for similarity-based virtual screening that has …

… inference network (BIN) model is that permits the combining of multiple reference structures.
In this paper we introduce a formal inference net … The inference net model of similarity, which …

… In this work we report the use of BIN for ligand-based virtual screening when a … inference
network provides an interesting alternative to existing tools for ligand-based virtual screening…

… In this study we enhanced the screening effectiveness of Bayesian inference network using
short binary bit strings. In this approach the “Minifingerprints” MFPs were designed based on …