Rapid Bioinformatic Identification of Thermostabilizing Mutations

Rapid Computational Prediction of Thermostabilizing Mutations for G Protein-Coupled Receptors

G protein-coupled receptors (GPCRs) are highly dynamic and often denature when extracted in detergents. Deriving thermostable mutants has been a successful strategy to stabilize GPCRs in detergents, but this process is experimentally tedious. We have developed a computational method to predict the position of the thermostabilizing mutations for a given GPCR sequence. We have validated the metho...

Bioinformatic identification of genes suppressing genome instability.

Unbiased forward genetic screens for mutations causing increased gross chromosomal rearrangement (GCR) rates in Saccharomyces cerevisiae are hampered by the difficulty in reliably using qualitative GCR assays to detect mutants with small but significantly increased GCR rates. We therefore developed a bioinformatic procedure using genome-wide functional genomics screens to identify and prioritiz...

Special RepoRt Bioinformatic identification of novel methyltransferases

Methyltransferases & epigenomics In recent years, we have witnessed greatly expanded attention to the enzymes that catalyze the transfer of methyl groups from S-adenosylmethionine (AdoMet) to DNA, RNA, proteins, lipids and small molecules [1]. The central role of methyltransferases in epigenetics was first realized with enzymes modifying DNA [2,3]; subsequent work has demonstrated the importanc...

Bioinformatic sequence identification from sequence family databases

We have developed a tool in order to identify sequences in relation to a sequence family database. This tool combines several algorithms: BLAST, multiple sequence alignment and phylogenetic tree building. After identification of the most similar gene family to the query sequence, this query sequence is added to the whole family alignment and the phylogenetic tree of the family is rebuilt includ...

Bioinformatic identification of disease associated pathways by network based analysis