Prediction of amino acid positions specific for functional groups in a protein family based on local sequence similarity.

The exchange of single amino acid residue in protein can substantially affect the specificity of molecular recognition. Many protein families can be divided into the groups based on specificity to recognized ligands. Prediction of group-discriminating residues within the certain family is extremely necessary for theoretical studies, enzyme engineering, drug design, and so on. The most existing methods use the multiple sequence alignment. They have the limitations in prediction accuracy due to the family sequence divergence and ligand-based grouping. We developed a new method SPrOS (Specificity Projection On Sequence) for estimating the specificity of residues to user-defined groups. SPrOS compares the sequence segments from the test protein and training proteins. Contrary to other segment-comparison approaches extracting the string motifs, SPrOS calculates the scores for single positions by the similarity of their surroundings. The method was evaluated on the simulated sequences and real protein families. The high-prediction accuracy was achieved for simulated sequences, in which SPrOS detected specific positions not predicted with the alignment-based method. For bacterial transcription factors (LacI/GalR) clearly divided into functional groups, the predicted specific residues corresponded to the published experimental data. In a more complicated case of protein kinases classified by inhibitor specificity, the positions predicted with high significance were located in ligand-binding areas. As the ligand specificity is not necessary coincided with phylogeny, evolutionary-coupled mutations could disturb the detection of ligand-specific residues. Excluding proximate homologs of the test protein kinase from the training set, we improved the prediction of the ligand-specific residues. The SPrOS is available at http://www.way2drug.com/spros/

Altered expression of multiple genes involved in retinoic acid biosynthesis in human colorectal cancer.

All-trans-retinoic acid (atRA), the oxidized form of vitamin A (retinol), regulates a wide variety of biological processes, such as cell proliferation and differentiation. Multiple alcohol, retinol and retinaldehyde dehydrogenases (ADHs, RDHs, RALDHs) as well as aldo-keto reductases (AKRs) catalyze atRA production. The reduced atRA biosynthesis has been observed in several human tumors, including colorectal cancer. However, subsets of atRA-synthesizing enzymes have not been determined in colorectal tumors. We investigated the expression patterns of genes involved in atRA biosynthesis in normal human colorectal tissues, primary carcinomas and cancer cell lines by RT-PCR. These genes were identified using transcriptomic data analysis (expressed sequence tags, RNA-sequencing, microarrays). Our results indicate that each step of the atRA biosynthesis pathway is dysregulated in colorectal cancer. Frequent and significant decreases in the mRNA levels of the ADH1B, ADH1C, RDHL, RDH5 and AKR1B10 genes were observed in a majority of colorectal carcinomas. The expression levels of the RALDH1 gene were reduced, and the expression levels of the cytochrome CYP26A1 gene increased. The human colon cancer cell lines showed a similar pattern of changes in the mRNA levels of these genes. A dramatic reduction in the expression of genes encoding the predominant retinol-oxidizing enzymes could impair atRA production. The most abundant of these genes, ADH1B and ADH1C, display decreased expression during progression from adenoma to early and more advanced stage of colorectal carcinomas. The diminished atRA biosynthesis may lead to alteration of cell growth and differentiation in the colon and rectum, thus contributing to the progression of colorectal cancer.