Making novel proteins from pseudogenes
| Autor: | Shidhi Pr, Pawan K. Dhar, Shailja Singh, Prashanth Suravajhala, Aysha Nayeema, Achuthsankar S. Nair |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Saccharomyces cerevisiae Proteins Transcription Genetic Protein Conformation Pseudogene Computational biology Saccharomyces cerevisiae medicine.disease_cause Biochemistry chemistry.chemical_compound Gene Expression Regulation Fungal medicine Molecular Biology Escherichia coli Amino acid synthesis Organism chemistry.chemical_classification Computer Science Applications Computational Mathematics Enzyme Computational Theory and Mathematics chemistry Pyrimidine metabolism Genome Fungal Function (biology) DNA Pseudogenes |
| Zdroj: | Bioinformatics (Oxford, England). 31(1) |
| ISSN: | 1367-4811 |
| Popis: | Motivation: Recently, we made synthetic proteins from non-coding DNA of Escherichia coli . Encouraged by this, we asked: can we artificially express pseudogenes into novel and functional proteins? What kind of structures would be generated? Would these proteins be stable? How would the organism respond to the artificial reactivation of pseudogenes? Results: To answer these questions, we studied 16 full-length protein equivalents of pseudogenes. The sequence-based predictions indicated interesting molecular and cellular functional roles for pseudogene-derived proteins. Most of the proteins were predicted to be involved in the amino acid biosynthesis, energy metabolism, purines and pyrimidine biosynthesis, central intermediary metabolism, transport and binding. Interestingly, many of the pseudogene-derived proteins were predicted to be enzymes. Furthermore, proteins showed strong evidence of stable tertiary structures. The prediction scores for structure, function and stability were found to be favorable in most of the cases. Impact: To our best knowledge, this is the first such report that predicts the possibility of making functional and stable proteins from pseudogenes. In future, it would be interesting to experimentally synthesize and validate these predictions. Contact: pawan.dhar@snu.edu.in Supplementary information: Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|