Xinjian (Eric) Yan

Publications

UniSpec: Deep Learning for Predicting the Full Range of Peptide Fragment Ion Series to Enhance the Proteomics Data Analysis Workflow

February 8, 2024

Author(s)

Joel Lapin, Xinjian (Eric) Yan, Qian Dong

We present UniSpec, an attention-driven deep neural network designed to predict comprehensive collision-induced fragmentation spectra, thereby improving peptide

Comprehensive Analysis of Tryptic Peptides Arising from Disulfide Linkages in NISTmAb and Their Use for Developing a Mass Spectral Library

June 22, 2021

Author(s)

Qian Dong, Xinjian Yan, Yuxue Liang, Sanford Markey, Sergey L. Sheetlin, Concepcion Remoroza, William E. Wallace, Stephen Stein

This work presents methods for identifying and then creating a mass spectral library for disulfide-linked peptides originating from the NISTmAb. Analysis

Creation and Annotation of Recurrent Spectral Libraries of CHO Cell Metabolites and Media Components

January 6, 2021

Author(s)

Kelly H. Telu, Ramesh Marupaka, Nirina Rabe Andriamaharavo, Yamil Simon, Yuxue Liang, Yuri Mirokhin, Xinjian Yan, Tallat H. Bukhari, Stephen E. Stein

Mass Spectral Library of Acylcarnitines Derived from Human Urine

April 8, 2020

Author(s)

Xinjian Yan, Sanford Markey, Ramesh Marupaka, Qian Dong, Brian T. Cooper, Yuri Mirokhin, William E. Wallace, Stephen Stein

We describe the creation of a mass spectral library of acylcarnitines and conjugated acylcarnitines from the LC–MS/MS analysis of six NIST urine reference

Hybrid search: a method for identifying metabolites absent from tandem mass spectrometry libraries

October 10, 2019

Author(s)

Brian T. Cooper, Xinjian Yan, Yamil Simon, Dmitrii V. Tchekhovskoi, Yuri A. Mirokhin, Stephen E. Stein

Metabolomics has a critical need for better tools for mass spectral identification. Common metabolites may be identified by searching libraries of tandem mass

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Xinjian (Eric) Yan (Fed)

Publications