GeneSilico protein structure prediction meta-server
By Michal A. Kurowski, Janusz M. Bujnicki. Nucleic Acids Res., 2003
420 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/39222f8a0793404fdc0cb9f82d5013746437887d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Yang Zhang
- Torsten Schwede
- Sitao Wu
- Rhiju Das
- N. V. Dokholyan
- Robin Pearce
- Janusz M. Bujnicki
- Jianyi Yang
In Molecular Biology
- Rhiju Das
- Yang Zhang
- Torsten Schwede
- Sitao Wu
- Janusz M. Bujnicki
- Eric Westhof
- N. V. Dokholyan
- Liam J. McGuffin
Citations in the corpus
- RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme (2017, methodology): “…of the crystal structure, these inconsistencies with experiments were traced to using models of the P2–P3–P6 junction enforcing P3–P6 coaxial stacking (Lafontaine et al. 2001), which turned out to be incorrect; modeling with less human bias and more automated use of experimental data might have…”
- MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins (2012, background): “in protein fold recognition [12], protein function prediction [13], prediction of protein domains [14], prediction of protein model quality [15], and recently also in protein disorder prediction [16-18].”
- LOMETS: A local meta-threading-server for protein structure prediction (2007, background): “First, all the meta-servers, including 3D-Jury (2) and GeneSilico (4), take the initial threading inputs from remote computer servers installed in other laboratories.”
- The utility of comparative models and the local model quality for protein crystal structure determination by Molecular Replacement (2012, methodology): “For each of these protein structures, we queried the GeneSilico Fold Prediction metaserver [38] and then AmIgoMR.”
- QMEAN server for protein model quality estimation (2009, background): “Such sets of models are for example obtained from meta-servers (16,17) (i.e. servers collecting and integrating results from multiple modelling servers) or as a result of extensive conformational sampling runs typically performed in fragment-based approaches (18,19).”