[HTML][HTML] Protein complex prediction: A survey

J Zahiri, A Emamjomeh, S Bagheri, A Ivazeh… - Genomics, 2020 - Elsevier
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 …

LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec

S Tsukiyama, MM Hasan, S Fujii… - Briefings in …, 2021 - academic.oup.com
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 …

Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction

M Khatun, W Shoombuatong, MM Hasan… - Current …, 2020 - ingentaconnect.com
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 …

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 …

[HTML][HTML] Gene selection for tumor classification using a novel bio-inspired multi-objective approach

M Dashtban, M Balafar, P Suravajhala - Genomics, 2018 - Elsevier
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 …

SPRINT: ultrafast protein-protein interaction prediction of the entire human interactome

Y Li, L Ilie - BMC bioinformatics, 2017 - Springer
Background Proteins perform their functions usually by interacting with other proteins.
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 …

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 …

PSSMCOOL: a comprehensive R package for generating evolutionary-based descriptors of protein sequences from PSSM profiles

A Mohammadi, J Zahiri, S Mohammadi… - Biology Methods and …, 2022 - academic.oup.com
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 …

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 …