[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
Protein–protein interactions: detection, reliability assessment and applications
Protein–protein interactions (PPIs) participate in all important biological processes in living
organisms, such as catalyzing metabolic reactions, DNA replication, DNA transcription …
organisms, such as catalyzing metabolic reactions, DNA replication, DNA transcription …
Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
Y Guo, L Yu, Z Wen, M Li - Nucleic acids research, 2008 - academic.oup.com
Compared to the available protein sequences of different organisms, the number of revealed
protein–protein interactions (PPIs) is still very limited. So many computational methods have …
protein–protein interactions (PPIs) is still very limited. So many computational methods have …
Prediction of protein–protein interactions using random decision forest framework
Motivation: Protein interactions are of biological interest because they orchestrate a number
of cellular processes such as metabolic pathways and immunological recognition. Domains …
of cellular processes such as metabolic pathways and immunological recognition. Domains …
[图书][B] Protein interaction networks: computational analysis
A Zhang - 2009 - books.google.com
The analysis of protein-protein interactions is fundamental to the understanding of cellular
organization, processes, and functions. Recent large-scale investigations of protein-protein …
organization, processes, and functions. Recent large-scale investigations of protein-protein …
PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs
S Pitre, F Dehne, A Chan, J Cheetham, A Duong… - BMC …, 2006 - Springer
Background Identification of protein interaction networks has received considerable
attention in the post-genomic era. The currently available biochemical approaches used to …
attention in the post-genomic era. The currently available biochemical approaches used to …
Computational prediction of host-pathogen protein–protein interactions
Motivation: Infectious diseases such as malaria result in millions of deaths each year. An
important aspect of any host-pathogen system is the mechanism by which a pathogen can …
important aspect of any host-pathogen system is the mechanism by which a pathogen can …
Prediction of interactions between HIV-1 and human proteins by information integration
Abstract Hwnan immunodeficiency virus-1 (HIV-1) in acquired immune deficiency syndrome
(AIDS) relies on human host cell proteins in virtually every aspect of its life cycle. Knowledge …
(AIDS) relies on human host cell proteins in virtually every aspect of its life cycle. Knowledge …
Computational approaches for prediction of pathogen-host protein-protein interactions
Infectious diseases are still among the major and prevalent health problems, mostly
because of the drug resistance of novel variants of pathogens. Molecular interactions …
because of the drug resistance of novel variants of pathogens. Molecular interactions …
Unraveling protein networks with power graph analysis
L Royer, M Reimann, B Andreopoulos… - PLoS computational …, 2008 - journals.plos.org
Networks play a crucial role in computational biology, yet their analysis and representation
is still an open problem. Power Graph Analysis is a lossless transformation of biological …
is still an open problem. Power Graph Analysis is a lossless transformation of biological …