Protein Contact Map Prediction Based on ResNet and DenseNet
Residue-residue contact prediction has become an increasingly important tool for modeling the three-dimensional structure of a protein when no homologous structure is available. Ultradeep residual neural network (ResNet) has become the most popular method for making contact predictions because it ca...
Main Authors: | Zhong Li, Yuele Lin, Arne Elofsson, Yuhua Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2020/7584968 |
Similar Items
-
Automatic DenseNet Sparsification
by: Tao Li, et al.
Published: (2020-01-01) -
Coverless image steganography based on DenseNet feature mapping
by: Qiang Liu, et al.
Published: (2020-09-01) -
S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method
by: Changyong Yu, et al.
Published: (2019-01-01) -
Produktmatchning EfficientNet vs. ResNet : En jämförelse
by: Malmgren, Emil, et al.
Published: (2021) -
Efficient ResNet Model to Predict Protein-Protein Interactions With GPU Computing
by: Shengyu Lu, et al.
Published: (2020-01-01)