Protein Fold Family Recognition From Unassigned Residual Dipolar Coupling Data [article]

Rishi Mukhopadhyay, Paul Shealy, Homayoun Valafar
2019 arXiv   pre-print
Despite many advances in computational modeling of protein structures, these methods have not been widely utilized by experimental structural biologists. Two major obstacles are preventing the transition from a purely-experimental to a purely-computational mode of protein structure determination. The first problem is that most computational methods need a large library of computed structures that span a large variety of protein fold families, while structural genomics initiatives have slowed in
more » ... their ability to provide novel protein folds in recent years. The second problem is an unwillingness to trust computational models that have no experimental backing. In this paper we test a potential solution to these problems that we have called Probability Density Profile Analysis (PDPA) that utilizes unassigned residual dipolar coupling data that are relatively cheap to acquire from NMR experiments.
arXiv:1911.00383v1 fatcat:f4zqfsr44zbutbae63dvf27md4