Application of machine learning approaches for protein-protein interactions prediction
Background: Proteomics endeavors to study the structures, functions and interactions of
proteins. Information of the protein-protein interactions (PPIs) helps to improve our …
proteins. Information of the protein-protein interactions (PPIs) helps to improve our …
PCVMZM: using the probabilistic classification vector machines model combined with a zernike moments descriptor to predict protein–protein interactions from protein …
Protein–protein interactions (PPIs) are essential for most living organisms' process. Thus,
detecting PPIs is extremely important to understand the molecular mechanisms of biological …
detecting PPIs is extremely important to understand the molecular mechanisms of biological …
Protein–protein interaction inference based on semantic similarity of gene ontology terms
SB Zhang, QR Tang - Journal of theoretical biology, 2016 - Elsevier
Identifying protein–protein interactions is important in molecular biology. Experimental
methods to this issue have their limitations, and computational approaches have attracted …
methods to this issue have their limitations, and computational approaches have attracted …
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 …
An improved deep forest model for predicting self-interacting proteins from protein sequence using wavelet transformation
Self-interacting proteins (SIPs), whose more than two identities can interact with each other,
play significant roles in the understanding of cellular process and cell functions. Although a …
play significant roles in the understanding of cellular process and cell functions. Although a …
In silico prediction methods of self-interacting proteins: an empirical and academic survey
In silico prediction of self-interacting proteins (SIPs) has become an important part of
proteomics. There is an urgent need to develop effective and reliable prediction methods to …
proteomics. There is an urgent need to develop effective and reliable prediction methods to …
An efficient ensemble learning approach for predicting protein-protein interactions by integrating protein primary sequence and evolutionary information
Protein-protein interactions (PPIs) perform a very important function in a number of cellular
processes, including signal transduction, post-translational modifications, apoptosis, and …
processes, including signal transduction, post-translational modifications, apoptosis, and …
Study of key amino acid residues of GH66 dextranase for producing high-degree polymerized isomaltooligosaccharides and improving of thermostability
Q Lin, H Wang, Y Xu, D Dong, Q Miao, J Lu… - … in Bioengineering and …, 2022 - frontiersin.org
Obtaining high-degree polymerized isomaltose is more difficult while achieving better
prebiotic effects. We investigated the mutation specificity and enzymatic properties of SP5 …
prebiotic effects. We investigated the mutation specificity and enzymatic properties of SP5 …
An improved approach to infer protein-protein interaction based on a hierarchical vector space model
J Zhang, K Jia, J Jia, Y Qian - BMC bioinformatics, 2018 - Springer
Background Comparing and classifying functions of gene products are important in today's
biomedical research. The semantic similarity derived from the Gene Ontology (GO) …
biomedical research. The semantic similarity derived from the Gene Ontology (GO) …
PCLPred: a bioinformatics method for predicting protein–protein interactions by combining relevance vector machine model with low-rank matrix approximation
LP Li, YB Wang, ZH You, Y Li, JY An - International journal of molecular …, 2018 - mdpi.com
Protein–protein interactions (PPI) are key to protein functions and regulations within the cell
cycle, DNA replication, and cellular signaling. Therefore, detecting whether a pair of proteins …
cycle, DNA replication, and cellular signaling. Therefore, detecting whether a pair of proteins …