Tailong Lei

About Tailong Lei

Tailong Lei, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Computer-Aided Drug Design, Computational Toxicology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genomic epidemiology and ceftazidime-avibactam high-level resistance mechanisms of Pseudomonas aeruginosa in China from 2010-2022

Characterization of two novel VIM-type metallo-β-lactamases, VIM-84 and VIM-85, associated with the spread of IncP-2 megaplasmids in Pseudomonas aeruginosa

A novel CMY variant confers transferable high-level resistance to ceftazidime-avibactam in multidrug-resistant Escherichia coli

A novel KPC-113 variant conferring carbapenem and ceftazidime-avibactam resistance in a multidrug-resistant Pseudomonas aeruginosa isolate

Structural basis of PER-1-mediated cefiderocol resistance and synergistic inhibition of PER-1 by cefiderocol in combination with avibactam or durlobactam in Acinetobacter baumannii

Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets

ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning

Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power

Tailong Lei Information

University

Position

___

Citations(all)

734

Citations(since 2020)

676

Cited By

276

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Tailong Lei Skills & Research Interests

Computer-Aided Drug Design

Computational Toxicology

Top articles of Tailong Lei

Genomic epidemiology and ceftazidime-avibactam high-level resistance mechanisms of Pseudomonas aeruginosa in China from 2010-2022

Emerging Microbes & Infections

2024/2/27

Characterization of two novel VIM-type metallo-β-lactamases, VIM-84 and VIM-85, associated with the spread of IncP-2 megaplasmids in Pseudomonas aeruginosa

Microbiology Spectrum

2023/10/17

A novel CMY variant confers transferable high-level resistance to ceftazidime-avibactam in multidrug-resistant Escherichia coli

Microbiology Spectrum

2023/4/13

A novel KPC-113 variant conferring carbapenem and ceftazidime-avibactam resistance in a multidrug-resistant Pseudomonas aeruginosa isolate

Clinical Microbiology and Infection

2023/3/1

Structural basis of PER-1-mediated cefiderocol resistance and synergistic inhibition of PER-1 by cefiderocol in combination with avibactam or durlobactam in Acinetobacter baumannii

Antimicrobial Agents and Chemotherapy

2022/12/20

Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets

Briefings in bioinformatics

2021/7

ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning

Journal of Cheminformatics

2020/12

Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power

Briefings in bioinformatics

2020/1

See List of Professors in Tailong Lei University(Zhejiang University)

Co-Authors

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