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Correlation of intron-exon organisation with the three-dimensional structure in glutamate dehydrogenase

The positions of the intron-exon boundaries in the genes for glutamate dehydrogenase from Chlorella sorokiniana rat, and human have been located on the three-dimensional structure of the highly homologous enzyme from Clostridium symbiosum and analysed for their position in the protein structure. This analysis shows no correlation between the positions of these boundaries in the mammalian and Chlorella glutamate dehydrogenase genes and no correlation with units of function in the enzyme and suggests that the present day exons do not represent the protein modules of an ancestral glutamate dehydrogenase. There appears to be no clear preference for the residues at the splice junctions to be either buried or exposed to solvent. However, the frequency with which the introns appear in the loops linking elements of secondary structure, rather than in either the alpha-helical or beta-sheet segments, is higher than predicted on the basis of the proportion of residues in the loops. This is consistent with but not proof of a role for exon modification/exchange in protein evolution since changes at these positions are less likely to disturb the structure and hence maintain function.

Protein structure prediction: recognition of primary, secondary, and tertiary structural features from amino acid sequence

This review attempts a critical stock-taking of the current state of the science aimed at predicting structural features of proteins from their amino acid sequences. At the primary structure level, methods are considered for detection of remotely related sequences and for recognizing amino acid patterns to predict posttranslational modifications and binding sites. The techniques involving secondary structural features include prediction of secondary structure, membrane-spanning regions, and secondary structural class. At the tertiary structural level, methods for threading a sequence into a mainchain fold, homology modeling and assigning sequences to protein families with similar folds are discussed. A literature analysis suggests that, to date, threading techniques are not able to show their superiority over sequence pattern recognition methods. Recent progress in the state of ab initio structure calculation is reviewed in detail. The analysis shows that many structural features can be predicted from the amino acid sequence much better than just a few years ago and with attendant utility in experimental research. Best prediction can be achieved for new protein sequences that can be assigned to well-studied protein families. For single sequences without homologues, the folding problem has not yet been solved.

Statistical analysis and prediction of the exonic structure of human genes

Nonhomologous fully sequenced human protein-coding genes were studied. Three sets of exon-exon junctions were formed defined by the intron (shadow) position relative to the reading frame. For the analysis of intron shadow signals in exons, information content and discrimination energy approaches were used with the correction allowing one to ignore the influence of a protein-coding message. The corrected formulas allow one to define the consensuses for the three types of intron shadow signals as a AG/guwn, cAG/GUnn, and cAG/gunU, and provide better recognition than the original formulas. The analysis of the codon usage in the signal positions leads to the conclusion that the prevalence of some amino acids in corresponding protein sites is caused by the signal requirements and not vice versa. The distribution of potential intron shadow signals in exons contradicts the hypothesis of intron insertion into suitable preexisting sites. There exists a correlation between the intron types and/or the exon length modulo 3.