Publications

  • Journal Papers
  • Authored Books

#为第一作者,* 为通讯作者

 

2021


Huan Xu#, Jing Li#, Shidong Song#, Zhen Xiao, Xuanqing Chen, Boxuan Huang, Mengsi Sun, Guoqing Su, Demin Zhou, G. Wang*, Ran Hao*, Na Wang* (2021),  Effective inhibition of coronavirus replication by Polygonum cuspidatum,  Front Biosci-Landmark, 26(10), 789-798.

 

J. Mao#, J. Akhtar#, X. Zhang#, L. Sun, S. Guan, X. Li, G. Chen, J. Liu, H-N. Jeon, M-S. Kim, K-T. NO*, G. Wang* (2021). Comprehensive strategies of machine learning based quantitative structure-activity relationship models. iScience, 24: 103052.   

 

F. Xing, Y. Liu, X. Lyu, S. Su, U. Chan, P. Wu, Y. Yan, N. Ai, J. Li, M. Zhao, B. Rajendran, J. Liu, F. Shao, H. Sun, G. Luo, W. Zhu, K. Miao, K. Luo, W. Ge, X. Xu, G. Wang*, T. Liu*, C. Deng* (2021). Accelerating precision anti-cancer therapy by time-lapse and label-free 3D tumor slice culture platform. Theranostics 11(19):9415-9430. doi: 10.7150/thno.59533

 

G. Wang#* (2021), Testing the leanocentric locking-point theory by in silico partial lipectomyQuant Biol 9(1): 73-83. 

 

Huan Xu#, Bing Liu#, Zhen Xiao#, Meiling Zhou, Lin Ge, Fan Jia, Yanling Liu, Hongshan Jin, Xiuliang Zhu, Jian Gao, Javed Akhtar, Bai Xiang*, Ke Tan*, G. Wang* (2021), Computational and experimental studies reveal that thymoquinone blocks the entry of coronaviruses into in vitro cells, Infect Dis Ther, 10(1), 483-494.

 

2020


Fangyuan Shao  Xueying Lyu  Kai Miao  Lisi Xie  Haitao Wang  Hao Xiao  Jie Li  Qiang Chen  Renbo Ding  Ping Chen  Fuqiang Xing  Xu Zhang  Guang‐Hui Luo  Wenli Zhu  Gregory Cheng  Ng Wai Lon  Scott E. Martin  Guanyu Wang  Guokai Chen  Yunlu Dai  Chu‐Xia Deng*. Enhanced protein damage clearance induces broad drug resistance in multi-type of cancers revealed by an evolution drug resistant model and genome-wide siRNA screening. Adv Sci, 2001914, 2020. https://doi.org/10.1002/advs.202001914

 

WEI Tian-zi, WANG Hao, WU Xue-qing, LU Yi, GUAN Sheng-hui, DONG Feng-quan,DONG Chen-le, ZHU Gu-li, BAO Yu-zhou, ZHANG Jian*, WANG Guan-yu*, and LI Hai-ying* (2020), In Silico Screening of Potential Spike Glycoprotein Inhibitors of SARS-CoV-2 with Drug Repurposing Strategy, Chin J Integr Med, 26(9):663-669.

 

G. Wang#* (2020), Body mass dynamics is determined by the metabolic Ohm's law and adipocyte-autonomous fat mass homeostasis, iScience 23(6): 101176.

Highlights

https://newshub.sustech.edu.cn/html/202006/25959.html

https://www.x-mol.com/news/454640

https://mp.weixin.qq.com/s/ldfUVYB0kceB08PnjJhLQQ

 

Z. Jiang#, L. Lu#, Y. Liu, S. Zhang, S. Li,  G. Wang*, P. Wang*, and L. Chen* (2020), SMAD7 and SERPINE1 as novel dynamic network biomarkers detect and regulate the tipping point of TGF-beta induced EMT, Sci Bull  65(10):842-853.

 

2019


L. Sun#, X. Li#, J. Pan, J. Mao, Y. Yuan, D. Wang, W. Sun*, G. Krueger*, and G. Wang* (2019), Seeking mTORC1 Inhibitors Through Molecular Dynamics Simulation of Arginine Analogs Inhibiting CASTOR1, Cancer Genomics Proteomics 16(6): 465.

P. Zheng#*, J Kros, and G. Wang* (2019)  Elusive Neurotoxicity in T Cell-Boosting Anticancer Therapies. Trends Immunol, 40(4): 274.

 

2018


Y. Wu# and G. Wang* (2018)  Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis. Int J Mol Sci 19(8): 2358.

 

2017


G. Wang#* (2017)  Global quantitative biology can illuminate ontological connections between diseasesQuant Biol 5(2): 191.
 
Y. Wang#, W. Cai, L. Chen*G. Wang* (2017)  Molecular dynamics simulation reveals how phosphorylation of tyrosine 26 of phosphoglycerate mutase 1 upregulates glycolysis and promotes tumor growthOncotarget 8: 12093.

 

2016


G. Wang#* (2016).  Chemoinformatics in the New Era: From Molecular Dynamics to Systems Dynamics, Molecules 21(3):71.

G. Wang#* , M. Zhang(2016). Tunable ultrasensitivity: functional decoupling and biological insights, Sci Rep 6:srep20345

Y.Wu#, G. Krueger, G. Wang* (2016), Altered Micro-RNA Degradation Promotes Tumor Heterogeneity: A Result from Boolean Network Modeling. Anticancer Res 36(2) :575

F. Xing#, Q. Zhan, Y. He, J. Cui, S. He* , G. Wang*  (2016) 1800MHz Microwave Induces p53 and p53-Mediated Caspase-3 Activation Leading to Cell Apoptosis In Vitro. PLoS ONE 11(9): e0163935.

H. Chen#, G. Wang, R. Simha, C. Zeng* (2016), Boolean Models of Biological Processes Explain Cascade-Like Behavior, Sci Rep 7:srep20067

 

2015


X. Shen#, T. Huang, G. Wang* , and G. Li* (2015), How the sequence of a gene specifies structural symmetry in proteins, PLoS ONE 10(12):e0144473

M. Zhao#, Y. Cai, J. He, G. Wang, D. Wei, Y. Wei, C. Zhang, F. Zhou* (2015).  Personalized clinical data screening: special issue on health informatics, Comput Biol Med 61:161.

 

2014


T. Li# and G. Wang* (2014). Computer aided targeting of the PI3K/Akt/mTOR pathway: toxicity reduction and therapeutic opportunities. Int J Mol Sci 15:18856

G. Wang#* (2014). Raison d'être of insulin resistance: the adjustable threshold hypothesis. J R Soc Interface 11(101):20140892

2012


G. Wang*# (2012), “Optimal homeostasis necessitates bistable control,” J Roy Soc Interface 9: 2723

G. Wang#, Y. Rong, C. Hao, C. Pearson, C. Du, R. Simha, C. Zeng* (2012), Process-driven inference of biological network structure: feasibility, minimality, and multiplicity, PLoS ONE 7(7):e40330.

 

2011


Y. Rong#, C. Zeng, C. Evans, H. Chen, G. Wang (2011), Topology and Dynamics of Boolean Networks With Strong Inhibition, Discrete and Continuous Dynamical Systems S, 4: 1565.

 

2010


G. Wang#,  C. Du, H. Chen, R. Simha, Y. Rong, Y. Xiao, and C. Zeng* (2010), “Process-Based Network Decomposition Reveals Backbone Motif Structure,” Proc Natl Acad Sci USA 107 (23): 10478.

G. Wang#* (2010), “Singularity analysis of the AKT signaling pathway reveals connections between cancer and metabolic diseases,” Phys Biol 7: 046015.

G. Wang#* , G. Krueger(2010), Computational Analysis of mTOR Signaling Pathway: Bifurcation, Carcinogenesis, and Drug Discovery. Anticancer Res 30(7): 2683

2007


G.Wang#* (2007), Estimation of the proliferation and maturation functions in a physiologically structured model of thymocyte development, J Math Biol 54(6):761

Y. Yu#, G. Wang, R. Simha, W. Peng, F. Turano, and C. Zeng* (2007), Pathway switching explains the sharp response characteristic of hypoxia response network, PLoS Comput Biol 3(8):1657

2006


G. Wang#* and M. W. Deem* (2006), “Physical Theory of the Competition that Allows HIV to Escape from the Immune System,” Phys Rev Lett 97: 188106

2004


G. Wang#* (2004), “The effects of affinity mediated clonal expansion of premigrant thymocytes on the periphery T cell repertoire,” Math Biosci Eng 2(1): 153

G. Wang#* , G. Krueger, and L. Buja(2004), Continuous Model Studying T Cell Differentiation and Lymphomagenesis and Its Distinction with Discrete Models, Anticancer Res 24(3): 1813

G. Wang#* , G. Krueger(2004), "A general mathematical method for investigating the thymic microenvironment, thymocyte development, and immunopathogenesis," Math Biosci Eng 1(2): 289.

G. Wang#* , G. Krueger, and L. Buja(2004), “A Simple Model to Simulate Cellular Changes in the T Cell System Following HIV-1 Infection,” Anticancer Res 24(3): 1689

G. Wang#* (2004), “Parameter optimization in large-scale dynamical systems: a method of contractive mapping”, Math Comput Simul 66(6): 565

G. Krueger#* (2004), M. Brandt, G. Wang, and L. Buja, Computational Simulation of Chronic Persistent Virus Infection: Factors Determining Differences in Clinical Outcome of HHV-6, HIV-1 and HTLV-1 Infections Including Aplastic, Hyperplastic and Neoplastic Response, Anticancer Res 24:187

M. Brandt#*, G. Krueger, G. Wang, L. Buja(2004), “Feed-forward and Feedback Mechanisms in a Dynamical Model of Human T Cell Development and Regulation,” In Vivo 18:465.

G. Wang#* (2004), “A novel method for parameter optimization in two-dimensional dynamical models,” Proceedings of the 5th WSEAS International Conference on Applied Mathematics 38: 1-9

2003


G. Wang#* , G. Krueger and L. Buja(2003), A Mathematical Model to Simulate the Cellular Dynamics of Infection with Human Herpesvirus-6 in EBV negative infectious mononucleosis, J  Med Virol 71(4):569

G. Wang#* , G. Krueger and L. Buja(2003), A simplified and comprehensive computational model to study the behavior of T cell populations in the thymus during normal maturation and in infection with mouse Moloney leukemiavirus, In vivo 17(3):225.

G. Wang*# and S. He(2003), A Quantitative Study on Detection and Estimation of Weak Signals by Using Chaotic Duffing Oscillators, IEEE Trans. Circuits and Systems I: Fundamental Theory and Application 50(7): 945

G. Krueger#* , M. Brandt, G. Wang and L. Buja(2003), "TCM-1: A Nonlinear Dynamical Computational Model to Simulate Cellular Changes in the T Cell System: Conceptional Design and Validation," Anticancer Res 23(2):123

2002


G. Wang#* , W. Zheng, and S. He(2002), “Estimation of Amplitude and Phase of a Weak Signal by Using the Property of Sensitive Dependence on Initial Conditions of a Nonlinear Oscillator,” Signal Processing, 82:103.

G. Krueger#* , G. Marshall, L. Buja, H. Schroeder, M. Brandt, G. Wang and U. Junker(2002), "Growth Factors, Cytokines, Chemokines and Neuropeptides in the Modeling of T-Cells" In Vivo, 16:365

G. Krueger#* , M. Brandt, G. Wang, F. Berthold and L. Buja(2002), “A Computational Analysis of Canale-Smith Syndrome: Chronic Lymphadenopathy Simulating Malignant Lymphoma”, Anticancer Res. 22:2365.

G. Krueger#* , M. Brandt, G. Wang and L. Buja(2002), Dynamics of HTLV-1 Leukemogenesis: Data Acquisition for Computer Modeling In Vivo 16:87

2001


G. Krueger#* , B. Koch, J. Weldner, G. Tymister, A. Ramon, M. Brandt, G. Wang and L. Buja(2001), Dynamics of Active Progressive Infection with HIV1: Data Acquisition for Computer Modeling, In Vivo 15: 513.

G. Krueger#* , B. Koch, A. Hoffmann, J. Rojo, M. Brandt, G. Wang and L. Buja, “Dynamics of Chronic Active Herpesvirus-6 Infection in Patients with Chronic Fatigue Syndrome: Data Acquisition for Computer Modeling,” In Vivo 15(6): 461-466, 2001.

G. Krueger#* , G. Bertram, A. Ramon, B. Koch, D. Ablashi, M. Brandt, G. Wang and L. Buja(2001), Dynamics of Infection with Human Herpesvirus-6 in EBV-Negative Infectious Mononucleosis: Data Acquisition for Computer Modeling, In Vivo 15(5):373.

1999


G. Wang#* , D. Chen, J. Lin and X. Chen(1999), The application of chaotic oscillators to weak signal processing IEEE Trans. Industrial Electronics, 46(2):440. 

1998


G. Wang#* , D. Chen, X. Chen and J. Lin(1998), The Statistical Characteristic of Weak Signal Detection by Duffing Oscillators, Acta Electronica Sinica, 26(10):38.

1997


G. Wang#* , G. Tao, X. Chen and J. Lin(1997), “Signal Detection by Chaotic Oscillators with Intensive Background Noise,” Chinese Journal of Scientific Instrument 18(2):209

1996


G. Wang#* , X. Chen, and J. Lin(1996). The Application of Ultrasonic Imaging in Robotics. Robot 18(2): 122

G. Wang. Analysis of Complex Diseases: A Mathematical Perspective, CRC press, 2014.

M. Brandt, G. Krueger, and G. Wang: A biodynamical model of human T-cell development and pathology: design, testing and validation. Chapter 13 in: Kaiser HE, Nasir A: Selected Aspects of Cancer Progression: Metastasis, Apoptosis and Immune Response. pp.223-246. Springer Science & Business Media BV, 2008.

G. Wang and G. Krueger. Computational simulation of HHV6 infection. In G. Krueger and D. V. Ablashi (Editors), 2nd eds, Human Herpesvirus-6: General Virology, Epidemiology and Clinical Pathology, Elsevier Sci Publ, 12: 323-335, 2006.

M. Brandt, G. Wang, Hue-The Shih. Feedback control of a nonlinear dual-oscillator heartbeat model. In G. Chen, D. J. Hill, X. Yu (Editors), Chaos and Bifurcation Control: Theory and Applications, Volume II: Bifurcation Control, Lecture Notes in Control and Information Sciences, Springer-Verlag, Vol. 293, pp.265-273, 2003.

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