Structural studies of a neuropeptide precursor protein with an RGD proteolytic site

RTExtract: time-series NMR spectra quantification based on 3D surface ridge tracking

MOTIVATION

Time-series nuclear magnetic resonance (NMR) has advanced our knowledge about metabolic dynamics. Before analyzing compounds through modeling or statistical methods, chemical features need to be tracked and quantified. However, because of peak overlap and peak shifting, the available protocols are time consuming at best or even impossible for some regions in NMR spectra.

RESULTS

We introduce Ridge Tracking-based Extract (RTExtract), a computer vision-based algorithm, to quantify time-series NMR spectra. The NMR spectra of multiple time points were formulated as a 3D surface. Candidate points were first filtered using local curvature and optima, then connected into ridges by a greedy algorithm. Interactive steps were implemented to refine results. Among 173 simulated ridges, 115 can be tracked (RMSD < 0.001). For reproducing previous results, RTExtract took less than 2 h instead of ∼48 h, and two instead of seven parameters need tuning. Multiple regions with overlapping and changing chemical shifts are accurately tracked.

AVAILABILITY AND IMPLEMENTATION

Source code is freely available within Metabolomics toolbox GitHub repository (https://github.com/artedison/Edison_Lab_Shared_Metabolomics_UGA/tree/master/metabolomics_toolbox/code/ridge_tracking) and is implemented in MATLAB and R.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Reactivity of basic amino acid pairs in prohormone processing: Model of pro-ocytocin/neurophysin processing domain

Statistical analysis of several potential dibasic cleavage sites reveals differences in the distribution of basic doublets when the in vivo cleaved sites were compared to those which are not cleaved. Analysis of the substrate specificity of protease Kex2 towards the pro-ocytocin/neurophysin processing domain (pro-OT/Np(7-15) with altered basic pairs shows a cleavage efficiency order in accord with the statistical data. Structural analysis of these substrates indicates that each basic pair is associated with a local and specific conformational change. Thus, the in vivo cleavage hierarchy of dibasic sites is encoded by both the nature of basic pairs and the plasticity of proteolytic processing domains.