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Lei Xu 0035
Person information
- affiliation: Jiangsu University of Technology, School of Electrical and Information Engineering, Institute of Bioinformatics and Medical Engineering, Changzhou, China
- affiliation (PhD): Soochow University, Department of Pharmacology, Suzhou, China
Other persons with the same name
- Lei Xu — disambiguation page
- Lei Xu 0001
— Shanghai Jiao Tong University, Centre for Cognitive Machines and Computational Health (CMaCH), China (and 2 more)
- Lei Xu 0002 — University of Oxford, UK
- Lei Xu 0003
- Lei Xu 0004 — Dublin City University, Ireland (and 1 more)
- Lei Xu 0005 — Altera (and 1 more)
- Lei Xu 0006 — Qualcomm (and 1 more)
- Lei Xu 0007 — University of Texas at Arlington
- Lei Xu 0008 — School of Mechanical & Electronic Engineering, Jingdezhen Ceramic Institute
- Lei Xu 0009 — Nokia Research Center
- Lei Xu 0010 — Dalian Maritime University
- Lei Xu 0011 — China University of Mining & Technology
- Lei Xu 0012
- Lei Xu 0013 — The Hong Kong Polytechnic University
- Lei Xu 0014 — Johns Hopkins University
- Lei Xu 0015
- Lei Xu 0016
- Lei Xu 0017 — NEC Labs America, Princeton, NJ, USA (and 1 more)
- Lei Xu 0018
- Lei Xu 0019
- Lei Xu 0020
- Lei Xu 0021
- Lei Xu 0022
- Lei Xu 0023
- Lei Xu 0024
- Lei Xu 0025
- Lei Xu 0026
- Lei Xu 0027
- Lei Xu 0028
- Lei Xu 0029
- Lei Xu 0030
- Lei Xu 0031
- Lei Xu 0032
- Lei Xu 0033
- Lei Xu 0034
- Lei Xu 0036
- Lei Xu 0037
- Lei Xu 0038 — University of Nebraska, Department of Computer Science and Engineering, Lincoln, NE, USA
- Lei Xu 0039 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Lei Xu 0040 — Massachusetts Institute of Technology (MIT), Laboratory for Information & Decision Systems (LIDS), Cambridge, MA, USA (and 1 more)
- Lei Xu 0041
- Lei Xu 0042
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2020 – today
- 2024
- [j16]Xing Zhang, Jianbo Tong, Tianhao Wang
Dissecting the role of ALK double mutations in drug resistance to lorlatinib with in-depth theoretical modeling and analysis. Comput. Biol. Medicine 169: 107815 (2024) - [j15]Tianhao Wang
Structure-based virtual screening of novel USP5 inhibitors targeting the zinc finger ubiquitin-binding domain. Comput. Biol. Medicine 174: 108397 (2024) - [j14]Xing Zhang, Jianbo Tong, Tianhao Wang, Zhe Wang
In-depth theoretical modeling to explore the mechanism of TPX-0131 overcoming lorlatinib resistance to ALKL1196M/G1202R mutation. Comput. Biol. Medicine 183: 109265 (2024) - 2023
- [j13]Lingling Wang, Lei Xu, Zhe Wang
Cooperation of structural motifs controls drug selectivity in cyclin-dependent kinases: an advanced theoretical analysis. Briefings Bioinform. 24(1) (2023) - [j12]Shukai Gu
Can molecular dynamics simulations improve predictions of protein-ligand binding affinity with machine learning? Briefings Bioinform. 24(2) (2023) - [j11]Xujun Zhang
TB-IECS: an accurate machine learning-based scoring function for virtual screening. J. Cheminformatics 15(1): 63 (2023) - [i1]Xiaohua Lu, Liangxu Xie
Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction. CoRR abs/2312.17495 (2023) - 2022
- [j10]Mingyang Wang, Huiyong Sun
Comprehensive assessment of deep generative architectures for de novo drug design. Briefings Bioinform. 23(1) (2022) - [j9]Lei Jia, Lingling Wang, Yingmin Jiang, Lei Xu, Yanfei Cai, Yun Chen, Jian Jin, Huiyong Sun
Exploring PI3Kγ binding preference with Eganelisib, Duvelisib, and Idelalisib via energetic, pharmacophore and dissociation pathway analyses. Comput. Biol. Medicine 147: 105642 (2022) - [c1]Qingyang Zhang, Lei Xu, Rongliang Chen, Lin Chen, Xinhai Chen
Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor. PDCAT 2022: 28-41 - 2021
- [j8]Chao Shen, Ye Hu, Zhe Wang
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions. Briefings Bioinform. 22(1): 497-514 (2021) - [j7]Chao Shen, Ye Hu, Zhe Wang
Beware of the generic machine learning-based scoring functions in structure-based virtual screening. Briefings Bioinform. 22(3) (2021) - [j6]Jike Wang, Dong-Sheng Cao
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges. Briefings Bioinform. 22(3) (2021) - [j5]Chao Shen, Xueping Hu
The impact of cross-docked poses on performance of machine learning classifier for protein-ligand binding pose prediction. J. Cheminformatics 13(1): 81 (2021) - 2020
- [j4]Chao Shen, Zhe Wang
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power. Briefings Bioinform. 21(1): 282-297 (2020)
2010 – 2019
- 2018
- [j3]Wenfang Zhou
Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and Bioassays. Genom. Proteom. Bioinform. 16(6): 416-427 (2018) - 2015
- [j2]Yu Zhang, Lei Xu, Zhiqiang Zhang, Zhiyu Zhang, Longtai Zheng, Dan Li, Youyong Li, Feng Liu, Kunqian Yu, Tingjun Hou, Xuechu Zhen
Structure-Activity Relationships and Anti-inflammatory Activities of N-Carbamothioylformamide Analogues as MIF Tautomerase Inhibitors. J. Chem. Inf. Model. 55(9): 1994-2004 (2015) - 2013
- [j1]Sheng Tian
Drug-likeness analysis of traditional Chinese medicines: 2. Characterization of scaffold architectures for drug-like compounds, non-drug-like compounds, and natural compounds from traditional Chinese medicines. J. Cheminformatics 5: 5 (2013)
Coauthor Index
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last updated on 2024-11-20 20:59 CET by the dblp team
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