@article {519, title = {SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants.}, journal = {Nucleic Acids Res}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D935-9}, abstract = {

Single nucleotide variants (SNVs) are, together with copy number variation, the primary source of variation in the human genome and are associated with phenotypic variation such as altered response to drug treatment and susceptibility to disease. Linking structural effects of non-synonymous SNVs to functional outcomes is a major issue in structural bioinformatics. The SNPeffect database (http://snpeffect.switchlab.org) uses sequence- and structure-based bioinformatics tools to predict the effect of protein-coding SNVs on the structural phenotype of proteins. It integrates aggregation prediction (TANGO), amyloid prediction (WALTZ), chaperone-binding prediction (LIMBO) and protein stability analysis (FoldX) for structural phenotyping. Additionally, SNPeffect holds information on affected catalytic sites and a number of post-translational modifications. The database contains all known human protein variants from UniProt, but users can now also submit custom protein variants for a SNPeffect analysis, including automated structure modeling. The new meta-analysis application allows plotting correlations between phenotypic features for a user-selected set of variants.

}, keywords = {Databases, Protein, Humans, Internet, Meta-Analysis as Topic, Phenotype, Polymorphism, Single Nucleotide, Protein Conformation, Proteins}, issn = {1362-4962}, doi = {10.1093/nar/gkr996}, author = {De Baets, Greet and Van Durme, Joost and Reumers, Joke and Maurer-Stroh, Sebastian and Vanhee, Peter and Dopazo, Joaquin and Schymkowitz, Joost and Rousseau, Frederic} } @article {21731483, title = {An evolutionary trade-off between protein turnover rate and protein aggregation favors a higher aggregation propensity in fast degrading proteins.}, journal = {PLoS computational biology}, volume = {7}, year = {2011}, month = {2011 Jun}, pages = {e1002090}, abstract = {

We previously showed the existence of selective pressure against protein aggregation by the enrichment of aggregation-opposing {\textquoteright}gatekeeper{\textquoteright} residues at strategic places along the sequence of proteins. Here we analyzed the relationship between protein lifetime and protein aggregation by combining experimentally determined turnover rates, expression data, structural data and chaperone interaction data on a set of more than 500 proteins. We find that selective pressure on protein sequences against aggregation is not homogeneous but that short-living proteins on average have a higher aggregation propensity and fewer chaperone interactions than long-living proteins. We also find that short-living proteins are more often associated to deposition diseases. These findings suggest that the efficient degradation of high-turnover proteins is sufficient to preclude aggregation, but also that factors that inhibit proteasomal activity, such as physiological ageing, will primarily affect the aggregation of short-living proteins.

}, doi = {10.1371/journal.pcbi.1002090}, author = {De Baets, Greet and Reumers, Joke and Delgado Blanco, Javier and Dopazo, Joaquin and Schymkowitz, Joost and Rousseau, Frederic} } @article {596, title = {Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases.}, journal = {Nucleic Acids Res}, volume = {36}, year = {2008}, month = {2008 Jan}, pages = {D825-9}, abstract = {

Single nucleotide polymorphisms (SNPs) are, together with copy number variation, the primary source of variation in the human genome. SNPs are associated with altered response to drug treatment, susceptibility to disease and other phenotypic variation. Furthermore, during genetic screens for disease-associated mutations in groups of patients and control individuals, the distinction between disease causing mutation and polymorphism is often unclear. Annotation of the functional and structural implications of single nucleotide changes thus provides valuable information to interpret and guide experiments. The SNPeffect and PupaSuite databases are now synchronized to deliver annotations for both non-coding and coding SNP, as well as annotations for the SwissProt set of human disease mutations. In addition, SNPeffect now contains predictions of Tango2: an improved aggregation detector, and Waltz: a novel predictor of amyloid-forming sequences, as well as improved predictors for regions that are recognized by the Hsp70 family of chaperones. The new PupaSuite version incorporates predictions for SNPs in silencers and miRNAs including their targets, as well as additional methods for predicting SNPs in TFBSs and splice sites. Also predictions for mouse and rat genomes have been added. In addition, a PupaSuite web service has been developed to enable data access, programmatically. The combined database holds annotations for 4,965,073 regulatory as well as 133,505 coding human SNPs and 14,935 disease mutations, and phenotypic descriptions of 43,797 human proteins and is accessible via http://snpeffect.vib.be and http://pupasuite.bioinfo.cipf.es/.

}, keywords = {Amino Acid Substitution, Animals, Databases, Genetic, Genetic Diseases, Inborn, HSP70 Heat-Shock Proteins, Humans, Internet, Mice, MicroRNAs, mutation, Polymorphism, Single Nucleotide, Proteins, Rats, RNA Splice Sites, Transcription Factors}, issn = {1362-4962}, doi = {10.1093/nar/gkm979}, author = {Reumers, Joke and Conde, Lucia and Medina, Ignacio and Maurer-Stroh, Sebastian and Van Durme, Joost and Dopazo, Joaquin and Rousseau, Frederic and Schymkowitz, Joost} }