2021
DOI: 10.1002/jcc.26556
|View full text |Cite
|
Sign up to set email alerts
|

Exploring the quality of protein structural models from a Bayesian perspective

Abstract: We explore how ideas and practices common in Bayesian modeling can be applied to help assess the quality of 3D protein structural models. The basic premise of our approach is that the evaluation of a Bayesian statistical model's fit may reveal aspects of the quality of a structure when the fitted data is related to protein structural properties. Therefore, we fit a Bayesian hierarchical linear regression model to experimental and theoretical 13 C α chemical shifts. Then, we propose two complementary approaches… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 28 publications
0
0
0
Order By: Relevance