The Use of Three‐Dimensional Shape and Electrostatic Similarity Searching in the Identification of a Melanin‐Concentrating Hormone Receptor 1 Antagonist

By S. Muchmore, A. Souers, I. Akritopoulou‐Zanze. 2006

68 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy

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. Vijay S. Pande
2. Steven M. Kearnes
3. Abhinav Vishnu
4. Garrett B. Goh
5. Nathan Oken Hodas
6. Charles Siegel
7. Kyle Swanson
8. Regina Barzilay

In Molecular Biology

1. Vijay S. Pande
2. Steven M. Kearnes
3. Frank No'e
4. Hao Wu
5. Cecilia Clementi
6. Brooke E. Husic
7. Chaopeng Shen
8. John D. Chodera

In Spectroscopy

1. Vijay S. Pande
2. Frank No'e

Citations in the corpus

• ROCS-derived features for virtual screening (2016, background): “Compound similarity can be assessed in many ways, including comparisons of molecular ‘‘fingerprints’’ that encode structural features or molecular properties [26] and measurements of shape, chemical, and/or electrostatic similarity in three dimensions [8, 13, 1].”