Combinatorial Consensus Scoring for Ligand-Based Virtual Fragment Screening: A Comparative Case Study for Serotonin 5-HT3A, Histamine H1, and Histamine H4 Receptors

By S. Schultes, Albert J. Kooistra, H. Vischer, S. Nijmeijer, E. Haaksma, R. Leurs, I. D. Esch, C. Graaf. 2015

16 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computational Chemistry & Drug Discovery

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. C. K. Surratt
2. Jeffry D. Madura
3. Michael J. Wasko
4. Kendy A. Pellegrene

In Molecular Biology

1. C. K. Surratt
2. Jeffry D. Madura
3. Michael J. Wasko
4. Kendy A. Pellegrene

In Radiology, Nuclear Medicine and Imaging

1. C. K. Surratt
2. Jeffry D. Madura
3. Michael J. Wasko
4. Kendy A. Pellegrene

In Computational Chemistry & Drug Discovery

1. C. K. Surratt
2. Jeffry D. Madura
3. Michael J. Wasko
4. Kendy A. Pellegrene

Citations in the corpus

• A Role for Fragment-Based Drug Design in Developing Novel Lead Compounds for Central Nervous System Targets (2015, methodology): “The authors also recommend that similarity fusion and group fusion be used in a prospective ligand-based VS analysis (41).”