Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era (vol 20, pg 58, 2018)

被引：3
|
作者：
Jing, Yankang [1 ,2 ,3 ]
Bian, Yuemin [1 ,2 ,3 ]
Hu, Ziheng [1 ,2 ,3 ]
Wang, Lirong [1 ,2 ,3 ]
Xie, Xiang-Qun [1 ,2 ,3 ,4 ,5 ]
机构：
[1] Univ Pittsburgh, Sch Pharm, Dept Pharmaceut Sci & Computat Chem, Genom Screening Ctr, 335 Sutherland Dr,206 Salk Pavil, Pittsburgh, PA 15261 USA
[2] Univ Pittsburgh, NIH Natl Ctr Excellence Computat Drug Abuse Res, Pittsburgh, PA 15261 USA
[3] Univ Pittsburgh, Drug Discovery Inst, Pittsburgh, PA 15261 USA
[4] Univ Pittsburgh, Sch Med, Dept Computat Biol, Pittsburgh, PA 15261 USA
[5] Univ Pittsburgh, Sch Med, Dept Biol Struct, Pittsburgh, PA 15261 USA
来源：
AAPS JOURNAL | 2018年 / 20卷 / 04期
关键词：
D O I：
10.1208/s12248-018-0243-4
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
The name of the corresponding author should be 'Xiang-Qun Xie', rather than 'Xiang-Qun Sean Xie'.
引用
收藏
页数：1
相关论文
共 50 条
  • [11] Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery
    Nayarisseri, Anuraj
    Khandelwal, Ravina
    Tanwar, Poonam
    Madhavi, Maddala
    Sharma, Diksha
    Thakur, Garima
    Speck-Planche, Alejandro
    Singh, Sanjeev Kumar
    CURRENT DRUG TARGETS, 2021, 22 (06) : 631 - 655
  • [12] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
    Gupta, Rohan
    Srivastava, Devesh
    Sahu, Mehar
    Tiwari, Swati
    Ambasta, Rashmi K.
    Kumar, Pravir
    MOLECULAR DIVERSITY, 2021, 25 (03) : 1315 - 1360
  • [13] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
    Rohan Gupta
    Devesh Srivastava
    Mehar Sahu
    Swati Tiwari
    Rashmi K. Ambasta
    Pravir Kumar
    Molecular Diversity, 2021, 25 : 1315 - 1360
  • [14] Drug discovery in big data era
    Okuno, Yasushi
    JOURNAL OF PHARMACOLOGICAL SCIENCES, 2016, 130 (03) : S20 - S20
  • [15] Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
    Manish Kumar Tripathi
    Abhigyan Nath
    Tej P. Singh
    A. S. Ethayathulla
    Punit Kaur
    Molecular Diversity, 2021, 25 : 1439 - 1460
  • [16] Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
    Tripathi, Manish Kumar
    Nath, Abhigyan
    Singh, Tej P.
    Ethayathulla, A. S.
    Kaur, Punit
    MOLECULAR DIVERSITY, 2021, 25 (03) : 1439 - 1460
  • [17] Data Science: Big Data, Machine Learning, and Artificial Intelligence (vol 15, pg 497, 2018)
    Carlos, Ruth C.
    Kahn, Charles E.
    Halabi, Safwan
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (05) : 819 - 819
  • [18] Drug discovery and development in the era of Big Data
    Bajorath, Juergen
    Overington, John
    Jenkins, Jeremy L.
    Walters, Pat
    FUTURE MEDICINAL CHEMISTRY, 2016, 8 (15) : 1807 - 1813
  • [19] Could advances in representation learning in Artificial Intelligence provide the new paradigm for data integration in drug discovery?
    Vijayan, Vinaya
    Rouillard, Andrew D.
    Rajpal, Deepak K.
    Agarwal, Pankaj
    EXPERT OPINION ON DRUG DISCOVERY, 2019, 14 (03) : 191 - 194
  • [20] Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
    Moreira-Filho, Jose T.
    Silva, Arthur C.
    Dantas, Rafael F.
    Gomes, Barbara F.
    Souza Neto, Lauro R.
    Brandao-Neto, Jose
    Owens, Raymond J.
    Furnham, Nicholas
    Neves, Bruno J.
    Silva-Junior, Floriano P.
    Andrade, Carolina H.
    FRONTIERS IN IMMUNOLOGY, 2021, 12
12345