ArticleProtein & cell2012
SySAP: a system-level predictor of deleterious single amino acid polymorphisms.
Article in Protein & cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Artificial intelligence: A powerful paradigm for scientific research.Innovation (Cambridge (Mass.)) · 2021Review
- Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network.Computational and structural biotechnology journal · 2019Article
- Computational Approach to Investigating Key GO Terms and KEGG Pathways Associated with CNV.BioMed research international · 2018Article
- Computational assessment of feature combinations for pathogenic variant prediction.Molecular genetics & genomic medicine · 2016Article
- Genetic differences among ethnic groups.BMC genomics · 2015Article
- Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties.Molecular genetics and genomics : MGG · 2015Article
- Novel candidate key drivers in the integrative network of genes, microRNAs, methylations, and copy number variations in squamous cell lung carcinoma.BioMed research international · 2015Article
- Large-scale protein-protein interactions detection by integrating big biosensing data with computational model.BioMed research international · 2014Article
- Application of ThinPrep bronchial brushing cytology in the early diagnosis of lung cancer: a retrospective study.PloS one · 2014Article
- A Bayesian ensemble approach with a disease gene network predicts damaging effects of missense variants of human cancers.Human genetics · 2013Article
- Article
- Signal propagation in protein interaction network during colorectal cancer progression.BioMed research international · 2013Article
- Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.PloS one · 2012Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single amino acid polymorphisms (SAPs), also known as non-synonymous single nucleotide polymorphisms (nsSNPs), are responsible for most of human genetic diseases. Discriminate the deleterious SAPs from neutral ones can help identify the disease genes and understand the mechanism of diseases. In this work, a method of deleterious SAP prediction at system level was established. Unlike most existing methods, our method not only considers the sequence and structure information, but also the network information. The integration of network information can improve the performance of deleterious SAP prediction. To make our method available to the public, we developed SySAP (a System-level predictor of deleterious Single Amino acid Polymorphisms), an easy-to-use and high accurate web server. SySAP is freely available at http://www.biosino.org/ SySAP/ and http://lifecenter.sgst.cn/SySAP/.
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