scholarly journals A parallelized molecular collision cross section package with optimized accuracy and efficiency

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.

2020 ◽  
Vol 92 (6) ◽  
pp. 4475-4483 ◽  
Author(s):  
Alyssa Q. Stiving ◽  
Benjamin J. Jones ◽  
Jakub Ujma ◽  
Kevin Giles ◽  
Vicki H. Wysocki

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.


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