L
Le-Heng Wang
Researcher at Chinese Academy of Sciences
Publications - 22
Citations - 1259
Le-Heng Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Mass spectrum & Proteome. The author has an hindex of 10, co-authored 22 publications receiving 1127 citations.
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Journal ArticleDOI
Identification of cross-linked peptides from complex samples
Bing Yang,Yan-Jie Wu,Ming Zhu,Sheng-Bo Fan,Jinzhong Lin,Kun Zhang,Shuang Li,Hao Chi,Yu-Xin Li,Hai-Feng Chen,Shukun Luo,Yue-He Ding,Le-Heng Wang,Zhiqi Hao,Li-Yun Xiu,She Chen,Keqiong Ye,Si-Min He,Meng-Qiu Dong +18 more
TL;DR: pLink as mentioned in this paper is a software for data analysis of cross-linked proteins coupled with mass-spectrometry analysis, which is compatible with multiple homo- or hetero-bifunctional cross-linkers.
Journal ArticleDOI
pFind 2.0: a software package for peptide and protein identification via tandem mass spectrometry.
Le-Heng Wang,Dequan Li,Yan Fu,Haipeng Wang,Jingfen Zhang,Zuo-Fei Yuan,Rui-Xiang Sun,Rong Zeng,Si-Min He,Wen Gao +9 more
TL;DR: The pFind 2.0 software package for peptide and protein identification via tandem mass spectrometry offers a modularized and customized platform for third parties to test and compare their algorithms, and is of high accuracy and high speed.
Journal ArticleDOI
pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra
Hao Chi,Rui-Xiang Sun,Bing Yang,Chun-Qing Song,Le-Heng Wang,Chao Liu,Yan Fu,Zuo-Fei Yuan,Haipeng Wang,Si-Min He,Meng-Qiu Dong +10 more
TL;DR: It is shown that higher-energy collisional dissociation (HCD) is of great help to de novo sequencing because it produces high mass accuracy tandem mass spectrometry (MS/MS) spectra without the low-mass cutoff associated with CID in ion trap instruments.
Journal ArticleDOI
A Strategy for Precise and Large Scale Identification of Core Fucosylated Glycoproteins
Wei Jia,Zhuang Lu,Yan Fu,Haipeng Wang,Le-Heng Wang,Hao Chi,Zuo-Fei Yuan,Zhaobin Zheng,Lina Song,Huanhuan Han,Yi-Min Liang,Jinglan Wang,Yun Cai,Yu-Kui Zhang,Yulin Deng,Wantao Ying,Si-Min He,Xiaohong Qian +17 more
TL;DR: A robust strategy is developed that integrates molecular weight cutoff, neutral loss-dependent MS3, database-independent candidate spectrum filtering, and optimization to effectively identify CF glycoproteins and shows great progress for finding biomarkers with a particular and attractive prospect.
Journal ArticleDOI
pQuant improves quantitation by keeping out interfering signals and evaluating the accuracy of calculated ratios.
Chao Liu,Chun-Qing Song,Zuo-Fei Yuan,Yan Fu,Hao Chi,Le-Heng Wang,Sheng-Bo Fan,Kun Zhang,Wen-Feng Zeng,Si-Min He,Meng-Qiu Dong,Rui-Xiang Sun +11 more
TL;DR: Results show that pQuant outperforms Census and MaxQuant in SILAC and (15)N-based quantitation, and estimates the protein ratios and associated CIs by kernel density estimation.