SwissSimilarity: A Web Tool for Low to Ultra High Throughput Ligand-Based Virtual Screening

By Vincent Zoete, Antoine Daina, Christophe Bovigny, Olivier Michielin. Journal of Chemical Information and Modeling, 2016

330 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Pharmacology

View Paper: https://www.semanticscholar.org/paper/2f88a2960ad0d9988879c1fa096143c9cc3d6bd5

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. Antoine Daina
2. Vincent Zoete
3. Olivier Michielin
4. Aurélien Grosdidier

In Materials Chemistry

1. Antoine Daina
2. Vincent Zoete
3. Olivier Michielin
4. Aurélien Grosdidier

In Pharmacology

1. Vincent Zoete
2. Olivier Michielin
3. Antoine Daina

Citations in the corpus

• SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules (2019, methodology): “The ‘twins’ icon sub-mits the molecule to SwissSimilarity (21) for ligand-based direct screening, the ‘target’ for re-submitting the target prediction (on another species, for instance) and the ‘pill’ icon to estimate physicochemical, ADME or pharmacokinetic parameters by SwissADME (20).”