大连理工大学主页平台管理系统 Lei Zhang--Home-- High-throughput and intelligent design of potential GRK2 inhibitor candidates using deep learning and mathematical programming methods

Lei Zhang

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender:Male
Alma Mater:Tsinghua University
Degree:Doctoral Degree
School/Department:School of Chemical Engineering
Discipline:Chemical Engineering
Business Address:西部校区化工实验楼D408
E-Mail:keleiz@dlut.edu.cn

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High-throughput and intelligent design of potential GRK2 inhibitor candidates using deep learning and mathematical programming methods

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Date of Publication:2025-10-24

Journal:Chinese Journal of Chemical Engineering

Volume:84

Page Number:11-22

ISSN No.:1004-9541

Key Words:Binding affinity; GRK2; Mathematical modeling; Mathematical programming method; Optimal design; Product design

Pre One:Accelerating Transition State Search and Ligand Screening for Organometallic Catalysis with Reactive Machine Learning Potential

Next One:Exploring the Influence of Solvation on Multidimensional Particle Size Distribution Based on the Spiral Growth Model and the Lattice Boltzmann Method

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