ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function

By Gershon Celniker, Guy Nimrod, Haim Ashkenazy, Fabian Glaser, Eric Martz, Itay Mayrose, Tal Pupko, Nir Ben-Tal. 2013

565 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ebaf71f9bb5f5121064f0cabcb63a8de79b45f20

How researchers see this paper

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

In Molecular Biology

1. Tal Pupko
2. Haim Ashkenazy
3. Eric Martz
4. Nir Ben-Tal
5. Itay Mayrose
6. Shiran Abadi
7. Ofer Chay
8. Elana Erez

Citations in the corpus

• PredictProtein—an open resource for online prediction of protein structural and functional features (2014, unknown): “Prediction of functional features: predicted aspects include ConSurf annotations and visualizations of functionally important sites (26,27), protein mutability landscape analysis showing the effect of point mutations on protein function predicted by SNAP2 (28), Gene Ontology (GO) terms from metastud”
• ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules (2016, methodology): “ConSurf is a widely used tool for revealing functional regions in macromolecules by analysing the evolutionary dynamics of amino / nucleic acids substitutions among homologous sequences (1–4).”