Recent Advances in Deep Learning for Protein-Protein Interaction Analysis: A Comprehensive Review
Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative imprint across multiple disciplines. Within computational biology, it is expediting progress in the understanding of Protein–Protein Interactions (PPIs), key components governing a wide array of biologi...
Main Author: | Minhyeok Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/28/13/5169 |
Similar Items
-
SPRINT: ultrafast protein-protein interaction prediction of the entire human interactome
by: Yiwei Li, et al.
Published: (2017-11-01) -
Reconstruction of the Protein-Protein Interaction Network for Protein Complexes Identification by Walking on the Protein Pair Fingerprints Similarity Network
by: Bo Xu, et al.
Published: (2018-07-01) -
Computational Methods for Protein Complex Prediction: A Survey
by: PAN Yuliang, GUAN Jihong, YAO Heng, SHI Yunjia, ZHOU Shuigeng
Published: (2022-01-01) -
The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction
by: Mansheng Li, et al.
Published: (2021-11-01) -
Protein-protein interaction databases: keeping up with growing interactomes
by: Lehne Benjamin, et al.
Published: (2009-04-01)