AIMC Topic: Evolution, Molecular

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SANA NetGO: a combinatorial approach to using Gene Ontology (GO) terms to score network alignments.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: Gene Ontology (GO) terms are frequently used to score alignments between protein-protein interaction (PPI) networks. Methods exist to measure GO similarity between proteins in isolation, but proteins in a network alignment are not isolate...
Humans Software Animals Protein Interaction Maps Computational Biology Evolution, Molecular Data Accuracy Gene Ontology Eukaryota
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Rectified factor networks for biclustering of omics data.

Bioinformatics (Oxford, England) Jul 15, 2017
MOTIVATION: Biclustering has become a major tool for analyzing large datasets given as matrix of samples times features and has been successfully applied in life sciences and e-commerce for drug design and recommender systems, respectively. actor nal...
Humans Gene Expression Profiling Genomics Computational Biology Evolution, Molecular Unsupervised Machine Learning Genome, Human Oligonucleotide Array Sequence Analysis
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The drug target genes show higher evolutionary conservation than non-target genes.

Oncotarget Jan 26, 2016
Although evidence indicates that drug target genes share some common evolutionary features, there have been few studies analyzing evolutionary features of drug targets from an overall level. Therefore, we conducted an analysis which aimed to investig...
Humans Databases, Factual Protein Interaction Maps Evolution, Molecular Pharmaceutical Preparations Models, Biological Genome, Human Gene Ontology Linkage Disequilibrium Conserved Sequence Genes
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Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning.

Journal of molecular recognition : JMR Jan 1, 2015
The identification of protein-protein interactions is vital for understanding protein function, elucidating interaction mechanisms, and for practical applications in drug discovery. With the exponentially growing protein sequence data, fully automate...
Machine Learning Software Algorithms Protein Binding Evolution, Molecular Proteins Models, Molecular Hydrogen Bonding Binding Sites
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