Ligand-Based Virtual Screening Using Bayesian Networks

By Ammar Abdo, Beining Chen, Christoph Müller, Naomie Binti Salim, Peter Willett. 2010

76 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Alisson Marques da Silva
2. Tiago Alves de Oliveira
3. Letícia C. Assis
4. Alex Gutterres Taranto
5. Eduardo Habib Bechelane Maia

In Molecular Biology

1. Alisson Marques da Silva
2. Tiago Alves de Oliveira
3. Letícia C. Assis
4. Alex Gutterres Taranto
5. Eduardo Habib Bechelane Maia

Citations in the corpus

• Massively Multitask Networks for Drug Discovery (2015, neutral): “…has moved to more refined models, such as the influence relevance voting method that combines low-complexity neural networks and k-nearest neighbors (Swamidass et al., 2009), and Bayesian belief networks that repurpose textual information retrieval methods for virtual screening (Abdo et al., 2010).”
• Structure-Based Virtual Screening: From Classical to Artificial Intelligence (2020, background): “…Artificial neural networks (ANNs) (Ashtawy and Mahapatra, 2018); • Support vector machines (Sengupta and Bandyopadhyay, 2014); • Bayesian techniques (Abdo et al., 2010); • Decision tree (Ho, 1998); • k-nearest neighbors (kNN) (Peterson et al., 2009); • Kohonen’s SOMs and counterpropagation ANNs…”