Methods for estimation of model accuracy in CASP12
By Arne Elofsson, Keehyoung Joo, Chen Keasar, Jooyoung Lee, Ali Hassan Ahmed Maghrabi, Balachandran Manavalan, Liam J. McGuffin, David Ménendez Hurtado, Claudio Mirabello, Robert Pilstål and 3 more. 2017
32 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
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
- Liam J. McGuffin
- Björn Wallner
- Torsten Schwede
- Arne Elofsson
- Karolis Uziela
- Ali Hassan Ahmed Maghrabi
- Jianlin Cheng
- Gabriel Studer
In Molecular Biology
- Liam J. McGuffin
- Torsten Schwede
- Björn Wallner
- Arne Elofsson
- Ali Hassan Ahmed Maghrabi
- Jianlin Cheng
- Gabriel Studer
- Karolis Uziela
Citations in the corpus
- IntFOLD: an integrated web resource for high performance protein structure and function prediction (2019, methodology): “The ModFOLD7 rank method is our latest update to Quality Assessment (QA) that combines the strengths of multiple pure-single and quasi-single model methods for improving prediction accuracy, building on the successful strategy that was used in ModFOLD6 (4,9,20).”
- Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12 (2018, methodology): “In contrast, superposition based Cα distances are employed in CASP[54], resulting in significantly different rankings.”
- Estimation of model accuracy in CASP13 (2019, methodology): “Since the development of ProQres(12) for local predictions ProQ has been one of the best single-model EMA methods in CASP.(1,20,32-34) All versions of ProQ has been developed continuously using the same strategy.”