This chapter considers a situation in which the elicitor wants to discover the precise form of a function which characterizes a subject’s preferences or probabilistic beliefs. All of the "scoring-rule" elicitation procedures developed have a common structure: the subject’s expected utility depends on a function reported by the subject, and the elicitor uses the reported function to calculate th...

In this paper, a coefficient adaptive scoring method of molecular docking is presented to improve the docking accuracy with multiple available scoring functions. Based on force-field scoring function, we considered hydrophobic and deformation as well in the proposed method, Instead of simple combination with fixed weights, coefficients of each factor are adaptive in searching procedure. In orde...

Radiographic progression is an important outcome measure in clinical trials and observational studies with patients with rheuamtoid arthritis. In this article we describe several aspects of measuring radiographic progression. We introduce the scoring method, discuss scoring methodology and issues regarding reliability of scoring, describe the relation between disease activity, radiographic prog...

It has been reported recently that consensus scoring, which combines multiple scoring functions in binding affinity estimation, leads to higher hit-rates in virtual library screening studies. This method seems quite independent to the target receptor, the docking program, or even the scoring functions under investigation. Here we present an idealized computer experiment to explore how consensus...

Accurate scoring of protein-ligand interactions in molecular docking and virtual screening is still challenging. Despite great efforts, the performance of existing scoring functions strongly depends on the target structure under investigation. Recent developments in the direction of target-class-specific scoring methods and machine-learningbased classification models reveals a significant impro...

MOTIVATION Likelihood ratio approximants (LRA) have been widely used for model comparison in statistics. The present study was undertaken in order to explore their utility as a scoring (ranking) function in the classification of protein sequences. RESULTS We used a simple LRA-based on the maximal similarity (or minimal distance) scores of the two top ranking sequence classes. The scoring meth...

As with pairwise alignment, multiple sequence alignments (MSAs) are typically scored by assigning a score to each column and summing over the columns. The most common approach to scoring individual columns in a multiple alignment is to calculate a score for each pair of symbols in the column, and then sum over the pair scores. This is called sum-of-pairs or SP-scoring. For global multiple seque...

Our information-driven docking approach HADDOCK is a consistent top predictor and scorer since the start of its participation in the CAPRI community-wide experiment. This sustained performance is due, in part, to its ability to integrate experimental data and/or bioinformatics information into the modelling process, and also to the overall robustness of the scoring function used to assess and r...

In this paper we describe our submission to the TREC2011 MicroblogTrack. Our run combines different methods namely customized scoring function, query reformulation, and query expansion. We apply query expansion from dataset with different weighting scheme. Furthermore, we do an initial experiment to incorporate timestamp of the tweet document in order to improve search performance. We found the...

The development of an energy or scoring function for protein structure prediction is greatly enhanced by testing the function on a set of computer-generated conformations ~decoys! to determine whether it can readily distinguish native-like conformations from nonnative ones. We have created “Decoys ‘R’ Us,” a database containing many such sets of conformations, to provide a resource that allows ...