Liu Liu

ORCID: 0000-0002-7205-4476
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About
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Research Areas
  • Functional Equations Stability Results
  • Computational Drug Discovery Methods
  • Advanced Mathematical Modeling in Engineering
  • Optimization and Variational Analysis
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Advanced Numerical Analysis Techniques
  • Mathematical Dynamics and Fractals
  • Modeling and Simulation Systems
  • Simulation Techniques and Applications
  • Machine Learning in Bioinformatics
  • Nonlinear Partial Differential Equations
  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Optimization Algorithms Research
  • Heat Transfer and Optimization
  • Chemical Synthesis and Analysis
  • Gas Dynamics and Kinetic Theory
  • Topology Optimization in Engineering
  • Differential Equations and Numerical Methods
  • Polynomial and algebraic computation
  • Contact Mechanics and Variational Inequalities
  • Stability and Controllability of Differential Equations
  • Numerical methods for differential equations
  • Evolutionary Algorithms and Applications
  • Mathematical Approximation and Integration

Southwest Jiaotong University
2014-2024

Beijing University of Chinese Medicine
2023

Chinese University of Hong Kong
2021

Inner Mongolia University of Technology
2019-2020

Northwestern University
2020

Northeast Normal University
2020

Baylor College of Medicine
2020

Management and Science University
2020

Software Engineering Institute
2020

Sichuan University of Arts and Science
2020

A complex and vast biological network regulates all functions in the human body a sophisticated manner, abnormalities this can lead to disease even cancer. The construction of high-quality molecular interaction is possible with development experimental techniques that facilitate interpretation mechanisms drug treatment for We collected 11 databases based on sources constructed protein-protein (PPI) transcriptional regulatory (HTRN). random walk-based graph embedding method was used calculate...

10.1016/j.csbj.2023.02.005 article EN cc-by-nc-nd Computational and Structural Biotechnology Journal 2023-01-01

10.1007/s10589-009-9241-x article EN Computational Optimization and Applications 2009-03-26

10.1016/j.jcp.2019.108914 article EN publisher-specific-oa Journal of Computational Physics 2019-10-16

The prediction of ion ligand binding residues on proteins helps to understand the specific functions in life processes. At present, it is a challenge work predict ligands studies protein functions. In this paper, we constructed datasets with 14 residues, including 4 acid radical and 10 metal ligands. Based amino sequence information, selected composition position conservation information acids, predicted structural physicochemical properties acids as basic feature parameters. We then made...

10.3389/fbioe.2020.00493 article EN cc-by Frontiers in Bioengineering and Biotechnology 2020-06-12

Abstract Background Proteins perform their functions by interacting with acid radical ions. Recently, it was a challenging work to precisely predict the binding residues of ion ligands in research field molecular drug design. Results In this study, we proposed an improved method using K-nearest Neighbors classifier. Meanwhile, constructed datasets four ligand (NO 2 − , CO 3 2− SO 4 PO 3− ) from BioLip database. Then, based on optimal window length for each ligand, refined composition...

10.1186/s12860-019-0238-8 article EN cc-by BMC Molecular and Cell Biology 2019-12-01

Abstract Background In many important life activities, the execution of protein function depends on interaction between proteins and ligands. As an binding ligand, identification site ion ligands plays role in study function. Results this study, four acid radical (NO 2 − ,CO 3 2− ,SO 4 ,PO 3− ) ten metal (Zn 2+ ,Cu ,Fe 3+ ,Ca ,Mg ,Mn ,Na + ,K ,Co are selected as research object, Sequential minimal optimization (SMO) algorithm based sequence information was proposed, better prediction results...

10.1186/s12860-019-0237-9 article EN cc-by BMC Molecular and Cell Biology 2019-12-01

It is known that any PM function of nonmonotonicity height >1 has no continuous iterative roots an order n being greater than the number forts function, from which there was open question on lower roots: Does such a have root order? This answered partially for equal to forts. In this paper we discuss orders.

10.1080/10236198.2018.1437152 article EN The Journal of Difference Equations and Applications 2018-02-08

In this paper, we conduct uniform error estimates of the bifidelity method for multiscale kinetic equations. We take Boltzmann and linear transport equations as important examples, discuss various choices low-fidelity models more general The main analytic tool is hypocoercivity analysis equations, considering solutions in a perturbative setting close to global equilibrium. This allows us obtain both hydrodynamic regimes.

10.1615/int.j.uncertaintyquantification.2021032770 article EN International Journal for Uncertainty Quantification 2021-01-01

Many proteins realize their special functions by binding with specific metal ion ligands during a cell's life cycle. The ability to correctly identify ligand-binding residues is valuable for the human health and design of molecular drug. Precisely identifying these residues, however, remains challenging work. We have presented an improved computational approach predicting 10 (Zn2+, Cu2+, Fe2+, Fe3+, Co2+, Ca2+, Mg2+, Mn2+, Na+, K+) adding reclassified relative solvent accessibility (RSA)....

10.3389/fgene.2020.00214 article EN cc-by Frontiers in Genetics 2020-03-19

[Background: Rational drug molecular design based on virtual screening requires the ligand binding site to be known. Recently, recognition of ion has become an important research direction in pharmacology.In this work, we selected residues 4 acid radical ligands (NO2-, CO32-, SO42- and PO43-) 10 metal (Zn2+, Cu2+, Fe2+, Fe3+, Ca2+, Mg2+, Mn2+, Na+, K+ Co2+) as objects. Based protein sequence information, extracted amino features, energy, physicochemical, structure features. Then,...

10.2174/1381612826666201029100636 article EN Current Pharmaceutical Design 2020-10-30

For PM functions of height 1, the existence continuous iterative roots any order was obtained under characteristic endpoints condition. A natural open question about without that condition raised. This answered partially in case function is increasing on its interval. In this paper, to opposite, we consider decreasing and give nonexistence results for their roots.

10.1080/10236198.2019.1580269 article EN The Journal of Difference Equations and Applications 2019-02-20

10.1007/s00010-014-0277-3 article EN Aequationes Mathematicae 2014-07-22

The iterative k-variable means, i.e. the means of form Mx1,…,xk=∑i=1kaifixiwhere f maps a real interval I into itself, fi is ith iterate f, and a1,…,ak are numbers, considered. Reflexivity such mean reduces to polynomial type functional equation. conditions under which Mf strict given. In case k=2 invariance quasi-arithmetic with respect mean-type mappings considered and, as an application, some equations effectively solved. Possible generalizations mentioned.

10.1080/10236198.2017.1356294 article EN The Journal of Difference Equations and Applications 2017-07-26

<p style='text-indent:20px;'>This paper aims to an open problem on iterative roots of PM functions, a class non-monotonic functions. The asks: Does function nonmonotonicity height <inline-formula><tex-math id="M2">\begin{document}$ \ge 2 $\end{document}</tex-math></inline-formula> have continuous root order id="M3">\begin{document}$ n being less than or equal the number forts? It was proved that id="M4">\begin{document}$ forts (if exist) can be classified...

10.3934/dcds.2022082 article EN Discrete and Continuous Dynamical Systems 2022-01-01

10.1007/s00010-024-01129-2 article EN Aequationes Mathematicae 2024-10-22

10.1016/j.jmaa.2024.129066 article EN Journal of Mathematical Analysis and Applications 2024-11-01

A new kind of multiobjective optimization model is constructed in this paper, which contains various solutions apart from the true Pareto-optimums but hardly dominated. These are defined as dominance resistant (DRSs). It proved that evolutionary algorithms based on Pareto- relationship fail to find Pareto fronts for DRS MOP. Hence a algorithm epsiv-dominance relationship, called MOEA (EDMOEA), proposed improve DRSs population effectively. Finally, experiments set MOOPs and other regular test...

10.1109/icnc.2007.111 article EN 2007-01-01

10.1007/s11425-016-0319-x article EN Science China Mathematics 2017-06-06

We develop efficient asymptotic-preserving time discretization schemes to solve the disparate mass kinetic system of a binary gas or plasma in "relaxation scale" relevant epochal relaxation phenomenon. Since resulting model is associated parameter given by square ratio between light and heavy particles, we an scheme novel decomposition strategy using penalization method for multiscale collisional equations. Both Boltzmann Fokker-Planck-Landau (FPL) collision operators will be considered....

10.4310/cms.2019.v17.n5.a5 article EN Communications in Mathematical Sciences 2019-01-01

10.1016/j.mcm.2010.12.041 article EN publisher-specific-oa Mathematical and Computer Modelling 2011-01-01
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