Progress in molecular docking

被引:294
|
作者
Fan, Jiyu [1 ]
Fu, Ailing [2 ]
Zhang, Le [1 ,3 ,4 ]
机构
[1] Sichuan Univ, Sch Comp Sci, Chengdu 610065, Sichuan, Peoples R China
[2] Southwest Univ, Coll Pharmaceut Sci, Chongqing 400715, Peoples R China
[3] Sichuan Univ, Med Big Data Ctr, Chengdu 610065, Peoples R China
[4] Chongqqing Zhongdi Med Informat Technol Co Ltd, Chongqing 401320, Peoples R China
基金
中国国家自然科学基金;
关键词
molecular docking; numerical analysis; optimization; data mining; DRUG DISCOVERY; PROTEIN; OPTIMIZATION; PREDICTION; DATABASE; MODEL; ZDOCK;
D O I
10.1007/s40484-019-0172-y
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
BackgroundIn recent years, since the molecular docking technique can greatly improve the efficiency and reduce the research cost, it has become a key tool in computer-assisted drug design to predict the binding affinity and analyze the interactive mode.ResultsThis study introduces the key principles, procedures and the widely-used applications for molecular docking. Also, it compares the commonly used docking applications and recommends which research areas are suitable for them. Lastly, it briefly reviews the latest progress in molecular docking such as the integrated method and deep learning.ConclusionLimited to the incomplete molecular structure and the shortcomings of the scoring function, current docking applications are not accurate enough to predict the binding affinity. However, we could improve the current molecular docking technique by integrating the big biological data into scoring function.
引用
收藏
页码:83 / 89
页数:7
相关论文
共 50 条
  • [31] RECENT ADVANCES IN MOLECULAR DOCKING
    KUNTZ, ID
    SHOICHET, B
    BODIAN, D
    ROE, D
    LEWIS, R
    HUANG, C
    FERRIN, T
    LANGRIDGE, R
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1991, 202 : 36 - COMP
  • [32] Lean-Docking: Exploiting Ligands' Predicted Docking Scores to Accelerate Molecular Docking
    Berenger, Francois
    Kumar, Ashutosh
    Zhang, Kam Y. J.
    Yamanishi, Yoshihiro
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, 61 (05) : 2341 - 2352
  • [33] Molecular Docking Using the Molecular Lipophilicity Potential as Hydrophobic Descriptor: Impact on GOLD Docking Performance
    Nurisso, Alessandra
    Bravo, Juan
    Carrupt, Pierre-Alain
    Daina, Antoine
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2012, 52 (05) : 1319 - 1327
  • [34] Progress in the Scoring Functions of Protein-Protein Docking
    Wang Cun-Xin
    Chang Shan
    Gong Xin-Qi
    Yang Feng
    Li Chun-Hua
    Chen Wei-Zu
    ACTA PHYSICO-CHIMICA SINICA, 2012, 28 (04) : 751 - 758
  • [35] Theoretical investigation of the molecular structure and molecular docking of naratriptan
    Lopez-Orozco, Wendolyne
    Hilda Rios-Reyes, Clara
    Humberto Mendoza-Huizar, Luis
    JOURNAL OF THE SERBIAN CHEMICAL SOCIETY, 2020, 85 (10) : 1291 - 1301
  • [36] THEORETICAL INVESTIGATION OF THE MOLECULAR STRUCTURE AND MOLECULAR DOCKING OF ETORICOXIB
    Sadasivam, Kandasamy
    Salgado Moran, Guillermo
    Humberto Mendoza-Huizar, Luis
    Cardona Villada, Wilson
    Gerli Candia, Lorena
    Maribel Meneses-Olmedo, Lorena
    Cuesta Hoyos, Sebastian
    JOURNAL OF THE CHILEAN CHEMICAL SOCIETY, 2020, 65 (02): : 4804 - 4806
  • [37] Research Progress of Traditional Chinese Medicine in Treating Irritable Bowel Syndrome Based on Network Pharmacology and Molecular Docking Technology
    Xiaojie KANG
    Hongbing ZHAO
    Yunfei BAI
    Menghan FENG
    Qiaoling LIU
    Guanglong WANG
    Medicinal Plant, 2022, 13 (03) : 75 - 79
  • [38] Considering protein structural variations in molecular docking: Ensemble docking with GOLD
    Cole, Jason
    Groom, Colin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2010, 240
  • [39] Benchmarking of different molecular docking methods for protein-peptide docking
    Agrawal, Piyush
    Singh, Harinder
    Srivastava, Hemant Kumar
    Singh, Sandeep
    Kishore, Gaurav
    Raghava, Gajendra P. S.
    BMC BIOINFORMATICS, 2019, 19 (Suppl 13)
  • [40] Benchmarking of different molecular docking methods for protein-peptide docking
    Piyush Agrawal
    Harinder Singh
    Hemant Kumar Srivastava
    Sandeep Singh
    Gaurav Kishore
    Gajendra P. S. Raghava
    BMC Bioinformatics, 19