Prediction of Protein-Protein Interaction Strength Using Domain Features with Supervised Regression
Proteins in living organisms express various important functions by interacting with other proteins and molecules. Therefore, many efforts have been made to investigate and predict protein-protein interactions (PPIs). Analysis of strengths of PPIs is also important because such strengths are involve...
Saved in:
Main Authors: | Mayumi Kamada, Yusuke Sakuma, Morihiro Hayashida, Tatsuya Akutsu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/240673 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survival Analysis by Penalized Regression and Matrix Factorization
by: Yeuntyng Lai, et al.
Published: (2013-01-01) -
Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
by: Chuan-Ching Huang, et al.
Published: (2013-01-01) -
PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction
by: Jianzhuang Yao, et al.
Published: (2015-01-01) -
Extracting Physicochemical Features to Predict Protein Secondary Structure
by: Yin-Fu Huang, et al.
Published: (2013-01-01) -
Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning
by: Despoina P. Kiouri, et al.
Published: (2025-01-01)