Lei Xu
Orcid: 0000-0002-4095-6539Affiliations:
- Jiangsu University of Technology, School of Electrical and Information Engineering, Institute of Bioinformatics and Medical Engineering, Changzhou, China
- Soochow University, Department of Pharmacology, Suzhou, China (PhD)
According to our database1,
Lei Xu
authored at least 16 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Dissecting the role of ALK double mutations in drug resistance to lorlatinib with in-depth theoretical modeling and analysis.
Comput. Biol. Medicine, February, 2024
2023
J. Cheminformatics, December, 2023
Can molecular dynamics simulations improve predictions of protein-ligand binding affinity with machine learning?
Briefings Bioinform., March, 2023
Cooperation of structural motifs controls drug selectivity in cyclin-dependent kinases: an advanced theoretical analysis.
Briefings Bioinform., January, 2023
Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction.
CoRR, 2023
2022
Exploring PI3Kγ binding preference with Eganelisib, Duvelisib, and Idelalisib <i>via</i> energetic, pharmacophore and dissociation pathway analyses.
Comput. Biol. Medicine, 2022
Briefings Bioinform., 2022
Improving the Performance of Lattice Boltzmann Method with Pipelined Algorithm on A Heterogeneous Multi-zone Processor.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022
2021
The impact of cross-docked poses on performance of machine learning classifier for protein-ligand binding pose prediction.
J. Cheminformatics, 2021
DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges.
Briefings Bioinform., 2021
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions.
Briefings Bioinform., 2021
Beware of the generic machine learning-based scoring functions in structure-based virtual screening.
Briefings Bioinform., 2021
2020
Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power.
Briefings Bioinform., 2020
2018
Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and Bioassays.
Genom. Proteom. Bioinform., 2018
2015
Structure-Activity Relationships and Anti-inflammatory Activities of <i>N</i>-Carbamothioylformamide Analogues as MIF Tautomerase Inhibitors.
J. Chem. Inf. Model., 2015
2013
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, 2013