scholarly journals Collision Cross Sections of Charge-Reduced Proteins and Protein Complexes: A Database for Collision Cross Section Calibration

2020 ◽  
Vol 92 (6) ◽  
pp. 4475-4483 ◽  
Author(s):  
Alyssa Q. Stiving ◽  
Benjamin J. Jones ◽  
Jakub Ujma ◽  
Kevin Giles ◽  
Vicki H. Wysocki
The Analyst ◽  
2019 ◽  
Vol 144 (5) ◽  
pp. 1660-1670 ◽  
Author(s):  
Christian Ieritano ◽  
Jeff Crouse ◽  
J. Larry Campbell ◽  
W. Scott Hopkins

A new parallelized calculation package predicts collision cross sections with high accuracy and efficiency.


The Analyst ◽  
2017 ◽  
Vol 142 (22) ◽  
pp. 4289-4298 ◽  
Author(s):  
Jong Wha Lee ◽  
Kimberly L. Davidson ◽  
Matthew F. Bush ◽  
Hugh I. Kim

Theoretical collision cross section calculations revisited for reliable ion structural studies.


Biomolecules ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1904
Author(s):  
Yulia V. Samukhina ◽  
Dmitriy D. Matyushin ◽  
Oksana I. Grinevich ◽  
Aleksey K. Buryak

Most frequently, the identification of peptides in mass spectrometry-based proteomics is carried out using high-resolution tandem mass spectrometry. In order to increase the accuracy of analysis, additional information on the peptides such as chromatographic retention time and collision cross section in ion mobility spectrometry can be used. An accurate prediction of the collision cross section values allows erroneous candidates to be rejected using a comparison of the observed values and the predictions based on the amino acids sequence. Recently, a massive high-quality data set of peptide collision cross sections was released. This opens up an opportunity to apply the most sophisticated deep learning techniques for this task. Previously, it was shown that a recurrent neural network allows for predicting these values accurately. In this work, we present a deep convolutional neural network that enables us to predict these values more accurately compared with previous studies. We use a neural network with complex architecture that contains both convolutional and fully connected layers and comprehensive methods of converting a peptide to multi-channel 1D spatial data and vector. The source code and pre-trained model are available online.


2019 ◽  
Vol 10 (4) ◽  
pp. 983-993 ◽  
Author(s):  
Jaqueline A. Picache ◽  
Bailey S. Rose ◽  
Andrzej Balinski ◽  
Katrina L. Leaptrot ◽  
Stacy D. Sherrod ◽  
...  

The Unified Compendium is an online interactive tool that utilizes ion mobility collision cross sections to annotate biochemical molecules.


2020 ◽  
Vol 31 (4) ◽  
pp. 990-995 ◽  
Author(s):  
Jean R. N. Haler ◽  
Philippe Massonnet ◽  
Johann Far ◽  
Gregory Upert ◽  
Nicolas Gilles ◽  
...  

The Analyst ◽  
2015 ◽  
Vol 140 (20) ◽  
pp. 6814-6823 ◽  
Author(s):  
Cris Lapthorn ◽  
Frank S. Pullen ◽  
Babur Z. Chowdhry ◽  
Patricia Wright ◽  
George L. Perkins ◽  
...  

Evaluation of N2(g) and He(g) MOBCAL collision cross section values from 20 compounds ∼ m/z 122 to 609.


2020 ◽  
Vol 92 (16) ◽  
pp. 11155-11163 ◽  
Author(s):  
Jacob W. McCabe ◽  
Christopher S. Mallis ◽  
Klaudia I. Kocurek ◽  
Michael L. Poltash ◽  
Mehdi Shirzadeh ◽  
...  

The second-order differential equation which expresses the equilibrium condition of an electron swarm in a uniform electric field in a gas, the electrons suffering both elastic and inelastic collisions with the gas molecules, is solved by the Jeffreys or W.K.B. method of approximation. The distribution function F(ε) of electrons of energy ε is obtained immediately in a general form involving the elastic and inelastic collision cross-sections and without any restriction on the range of E/p (electric strength/gas pressure) save that introduced in the original differential equation. In almost all applications the approximation is likely to be of high accuracy, and easy to use. Several of the earlier derivations of F(ε) are obtained as special cases. Using the function F(ε) an attempt is made to relate the Townsend ionization coefficient a to the properties of the gas in a more general manner than hitherto, using realistic functions for the collision cross-section. It is finally expressed by the equation α/ p = A exp ( — Bp/E ) in which A and B are functions involving the properties of the gas and the ratio E/p . The important coefficient B is directly related to the form and magnitude of the total inelastic cross-section below the ionization potential and can be evaluated for a particular gas once the cross-section is known experimentally. The present theory shows clearly the influence of E/p on both A and B, a matter which has not been satisfactorily discussed previously. The theory is illustrated by calculations of F (ε) and a/p for hydrogen over a range of E/p from 10 to 1000. The agreement between the calculated results and recent reliable observations of α/ p is surprisingly good considering the nature of the calculations and the wide range of E/p .


2012 ◽  
Vol 65 (5) ◽  
pp. 504 ◽  
Author(s):  
Antonio N. Calabrese ◽  
Lauren A. Speechley ◽  
Tara L. Pukala

This study demonstrates the ability of travelling wave ion mobility-mass spectrometry to measure collision cross-sections of ions in the negative mode, using a calibration based approach. Here, negative mode ion mobility-mass spectrometry was utilised to understand structural transitions of calmodulin upon Ca2+ binding and complexation with model peptides melittin and the plasma membrane Ca2+ pump C20W peptide. Coexisting calmodulin conformers were distinguished on the basis of their mass and cross-section, and identified as relatively folded and unfolded populations, with good agreement in collision cross-section to known calmodulin geometries. Titration of calcium tartrate to physiologically relevant Ca2+ levels provided evidence for intermediately metalated species during the transition from apo- to holo-calmodulin, with collision cross-section measurements indicating that higher Ca2+ occupancy is correlated with more compact structures. The binding of two representative peptides which exemplify canonical compact (melittin) and extended (C20W) peptide-calmodulin binding models has also been interrogated by ion mobility mass spectrometry. Peptide binding to calmodulin involves intermediates with metalation states from 1–4 Ca2+, which demonstrate relatively collapsed structures, suggesting neither the existence of holo-calmodulin or a pre-folded calmodulin conformation is a prerequisite for binding target peptides or proteins. The biological importance of the different metal unsaturated calmodulin complexes, if any, is yet to be understood.


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