Prediction of global and local model quality in CASP8 using the ModFOLD server

By Liam J. McGuffin. 2009

46 citations recorded by the source corpus.

Subfields: Information Systems and Management, Materials Chemistry

How researchers see this paper

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

In Information Systems and Management

1. Daniel B. Roche
2. Stuart J. Tetchner

In Materials Chemistry

1. Liam J. McGuffin
2. Daniel B. Roche
3. Stuart J. Tetchner
4. Maria T. Buenavista
5. Ahmad N. Shuid
6. Ali Hassan Ahmed Maghrabi
7. Torsten Schwede
8. Jianlin Cheng

Citations in the corpus

• FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins (2011, methodology): “Features of the quality assessment might include: the type of ligands within the cluster, with clusters containing a large number of similar ligands receiving a higher score; the distance of the superposed ligands from the centroid ligand within the cluster, with clusters containing ligands that are”
• ModFOLD6: an accurate web server for the global and local quality estimation of 3D protein models (2017, unknown): “…broad categories: pure-single model methods, which consider only information within an individual model (4–11), clustering / consensus approaches (12–16), which can only be used if you have multiple alternative models built for the same protein target, and quasi-single model methods (17,18),…”