USING DEEP LEARNING NEURAL NETWORKS FOR INVERSE PROTEIN FOLDING PREDICTIONS

被引:0
|
作者
La Fleur, Alyssa [1 ]
Almaw, Tersa [1 ]
Ojennus, Deanna [1 ]
Jones, Kent [1 ]
机构
[1] Whitworth Univ, Spokane, WA USA
关键词
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
ABS318
引用
收藏
页码:139 / 139
页数:1
相关论文
共 50 条
  • [1] Predictions of Wave Overtopping Using Deep Learning Neural Networks
    Tsai, Yu-Ting
    Tsai, Ching-Piao
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (10)
  • [2] Bond order predictions using deep neural networks
    Magedov, Sergey
    Koh, Christopher
    Malone, Walter
    Lubbers, Nicholas
    Nebgen, Benjamin
    [J]. JOURNAL OF APPLIED PHYSICS, 2021, 129 (06)
  • [3] Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning
    Chen, Chun-Teh
    Gu, Grace X.
    [J]. ADVANCED SCIENCE, 2020, 7 (05)
  • [4] Inverse Analysis of Experimental Scale Turbidity Currents Using Deep Learning Neural Networks
    Cai, Zhirong
    Naruse, Hajime
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2021, 126 (08)
  • [5] NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning
    Alzantot, Moustafa
    Widdicombe, Amy
    Julier, Simon
    Srivastava, Mani
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2019), 2019, : 81 - 86
  • [6] Uncertainty quantification of spectral predictions using deep neural networks
    Verma, Sneha
    Aznan, Nik Khadijah Nik
    Garside, Kathryn
    Penfold, Thomas J.
    [J]. CHEMICAL COMMUNICATIONS, 2023, 59 (46) : 7100 - 7103
  • [7] Predictions of turbulent shear flows using deep neural networks
    Srinivasan, P. A.
    Guastoni, L.
    Azizpour, H.
    Schlatter, P.
    Vinuesa, R.
    [J]. PHYSICAL REVIEW FLUIDS, 2019, 4 (05):
  • [8] Protein Loop Modeling using Deep Neural Networks Enhanced by Reinforcement Learning
    Pan, Feng
    Zhang, Yuan
    Lo, Chun-Chao
    Liu, Xiuwen
    Zhang, Jinfeng
    [J]. BIOPHYSICAL JOURNAL, 2020, 118 (03) : 43A - 43A
  • [9] Protein secondary structure prediction using neural networks and deep learning: A review
    Wardah, Wafaa
    Khan, M. G. M.
    Sharma, Alok
    Rashid, Mahmood A.
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2019, 81 : 1 - 8
  • [10] Learning regularization parameters of inverse problems via deep neural networks
    Afkham, Babak Maboudi
    Chung, Julianne
    Chung, Matthias
    [J]. INVERSE PROBLEMS, 2021, 37 (10)