Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing

By Trilce Estrada, Roger S. Armen, Michela Taufer. 2010

21 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, 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. Giorgio Patrini
2. Richard Nock

In Molecular Biology

1. Giorgio Patrini
2. Trilce Estrada
3. Michela Taufer

Citations in the corpus

• Fast Learning from Distributed Datasets without Entity Matching (2016, background): “Exhaustive search to solve this problem is simply not scalable, nor communication efficient, and sometimes not even accurate [Estrada et al., 2010; Zhang et al., 2015].”
• Accurate Scoring of Drug Conformations at the Extreme Scale (2015, methodology): “Previous studies have shown the accuracy but lack of scalability of these methods when the entire distributed dataset is analyzed, and a gain in scalability but a potential loss in accuracy when a subset of data is sampled and analyzed [6].”