Pathogen effectors: exploiting the promiscuity of plant signaling hubs
E Ceulemans, HMM Ibrahim, B De Coninck… - Trends in Plant …, 2021 - cell.com
Pathogens produce effectors to overcome plant immunity, thereby threatening crop yields
and global food security. Large-scale interactomic studies have revealed that pathogens …
and global food security. Large-scale interactomic studies have revealed that pathogens …
[HTML][HTML] How different viruses perturb host cellular machinery via short linear motifs
The virus interacts with its hosts by developing protein-protein interactions. Most viruses
employ protein interactions to imitate the host protein: A viral protein with the same amino …
employ protein interactions to imitate the host protein: A viral protein with the same amino …
[HTML][HTML] Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
The identification of human-virus protein-protein interactions (PPIs) is an essential and
challenging research topic, potentially providing a mechanistic understanding of viral …
challenging research topic, potentially providing a mechanistic understanding of viral …
HVIDB: a comprehensive database for human–virus protein–protein interactions
While leading to millions of people's deaths every year the treatment of viral infectious
diseases remains a huge public health challenge. Therefore, an in-depth understanding of …
diseases remains a huge public health challenge. Therefore, an in-depth understanding of …
Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction
Motivation To complement experimental efforts, machine learning-based computational
methods are playing an increasingly important role to predict human–virus protein–protein …
methods are playing an increasingly important role to predict human–virus protein–protein …
Bioinformatics approaches for unveiling virus-host interactions
Abstract The coronavirus disease-2019 (COVID-19) pandemic has elucidated major
limitations in the capacity of medical and research institutions to appropriately manage …
limitations in the capacity of medical and research institutions to appropriately manage …
Health data-driven machine learning algorithms applied to risk indicators assessment for chronic kidney disease
Purpose As global aging progresses, the health management of chronic diseases has
become an important issue of concern to governments. Influenced by the aging of its …
become an important issue of concern to governments. Influenced by the aging of its …
[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 …
Unlocking the microbial studies through computational approaches: how far have we reached?
The metagenomics approach accelerated the study of genetic information from uncultured
microbes and complex microbial communities. In silico research also facilitated an …
microbes and complex microbial communities. In silico research also facilitated an …
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 …
the evolutionary history of a given protein sequence. Several investigations reported that the …