MaxSub: an automated measure for the assessment of protein structure prediction quality

Motivation: Evaluating the accuracy of predicted models is critical for assessing structure prediction methods. Because this problem is not trivial, a large number of different assessment measures have been proposed by various authors, and it has already become an active subfield of research (Moult et al., 1999). The CASP (Moult et al., 1997, 1999) and CAFASP (Fischer et al., 1999) prediction experiments have demonstrated that it has been difficult to choose one single, `best' method to be used in the evaluation. Consequently, the CASP3 evaluation was carried out using an extensive set of especially developed numerical measures, coupled with humanexpert intervention. As part of our efforts towards a higher level of automation in the structure prediction field, here we investigate the suitability of a fully automated, simple, objective, quantitative and reproducible method that can be used in the automatic assessment of models in the upcoming CAFASP2 experiment. Such a method shou...

• Type: Journal
• Year: 2000
• Where: BIOINFORMATICS
• Authors: Naomi Siew, Arne Elofsson, Leszek Rychlewski, Daniel Fischer
• Keywords: Assessment Measures, BIOINFORMATICS 2000, Moult Et, Structure Prediction