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[HTML][HTML] Protein complex prediction: A survey
Protein complexes are one of the most important functional units for deriving biological
processes within the cell. Experimental methods have provided valuable data to infer protein …
processes within the cell. Experimental methods have provided valuable data to infer protein …
LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec
Viral infection involves a large number of protein–protein interactions (PPIs) between human
and virus. The PPIs range from the initial binding of viral coat proteins to host membrane …
and virus. The PPIs range from the initial binding of viral coat proteins to host membrane …
Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction
Protein-protein interactions (PPIs) are the physical connections between two or more
proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal …
proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal …
HN-PPISP: a hybrid network based on MLP-Mixer for protein–protein interaction site prediction
Y Kang, Y Xu, X Wang, B Pu, X Yang… - Briefings in …, 2023 - academic.oup.com
Motivation Biological experimental approaches to protein–protein interaction (PPI) site
prediction are critical for understanding the mechanisms of biochemical processes but are …
prediction are critical for understanding the mechanisms of biochemical processes but are …
[HTML][HTML] Gene selection for tumor classification using a novel bio-inspired multi-objective approach
Identifying the informative genes has always been a major step in microarray data analysis.
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
The complexity of various cancer datasets makes this issue still challenging. In this paper, a …
SPRINT: ultrafast protein-protein interaction prediction of the entire human interactome
Background Proteins perform their functions usually by interacting with other proteins.
Predicting which proteins interact is a fundamental problem. Experimental methods are …
Predicting which proteins interact is a fundamental problem. Experimental methods are …
A cascade random forests algorithm for predicting protein-protein interaction sites
ZS Wei, JY Yang, HB Shen… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Protein-protein interactions exist ubiquitously and play important roles in the life cycles of
living cells. The interaction sites (residues) are essential to understanding the underlying …
living cells. The interaction sites (residues) are essential to understanding the underlying …
Machine-learning-based predictor of human–bacteria protein–protein interactions by incorporating comprehensive host-network properties
X Lian, S Yang, H Li, C Fu, Z Zhang - Journal of proteome …, 2019 - ACS Publications
The large-scale identification of protein–protein interactions (PPIs) between humans and
bacteria remains a crucial step in systematically understanding the underlying molecular …
bacteria remains a crucial step in systematically understanding the underlying molecular …
PSSMCOOL: a comprehensive R package for generating evolutionary-based descriptors of protein sequences from PSSM profiles
Position-specific scoring matrix (PSSM), also called profile, is broadly used for representing
the evolutionary history of a given protein sequence. Several investigations reported that the …
the evolutionary history of a given protein sequence. Several investigations reported that the …
Prediction of protein-protein interactions using an effective sequence based combined method
YE Göktepe, H Kodaz - Neurocomputing, 2018 - Elsevier
Proteins and their interactions play a key role in the realization of all cellular biological
activities of organisms. Therefore, prediction of protein-protein interactions is crucial for …
activities of organisms. Therefore, prediction of protein-protein interactions is crucial for …