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M Gribskov

Publications and source records attributed to M Gribskov.

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Translational initiation factors IF-1 and eIF-2 alpha share an RNA-binding motif with prokaryotic ribosomal protein S1 and polynucleotide phosphorylase.

Initiation of translation is a complicated process involving numerous accessory factors whose functions remain incompletely understood. Bacterial ribosomal protein S1 is known to contain a repeated sequence motif (S1-RM), also found in polynucleotide phosphorylase, that is thought to be involved in binding to RNA. Using the technique of profile analysis, the S1-RM can also be found in bacterial and chloroplast translation initiation factor IF-1 sequences, and in the sequences of eukaryotic translation initiation factor eIF-2 alpha chains. The significance of the similarity of the sequences is very high suggesting that the occurrence of the S1-RM in these diverse proteins represents homology. The similarity of S1 to IF-1 further suggests that S1 has evolved from an IF-1 like ancestor, and therefore that the two proteins have a similar or competitive function. The most obvious common function of the proteins containing the S1-RM seems to be RNA binding, suggesting that IF-1 and eIF-2 alpha may bind to RNA.

Amino Acid Sequence

Profile analysis.

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Amino Acid Sequence

Identification and characterization of genes and mutants for an N-terminal acetyltransferase from yeast.

A gene from Saccharomyces cerevisiae has been mapped, cloned, sequenced and shown to encode a catalytic subunit of an N-terminal acetyltransferase. Regions of this gene, NAT1, and the chloramphenicol acetyltransferase genes of bacteria have limited but significant homology. A nat1 null mutant is viable but exhibits a variety of phenotypes, including reduced acetyltransferase activity, derepression of a silent mating type locus (HML) and failure to enter G0. All these phenotypes are identical to those of a previously characterized mutant, ard1. NAT1 and ARD1 are distinct genes that encode proteins with no obvious similarity. Concomitant overexpression of both NAT1 and ARD1 in yeast causes a 20-fold increase in acetyltransferase activity in vitro, whereas overexpression of either NAT1 or ARD1 alone does not raise activity over basal levels. A functional iso-1-cytochrome c protein, which is N-terminally acetylated in a NAT1 strain, is not acetylated in an isogenic nat1 mutant. At least 20 other yeast proteins, including histone H2B, are not N-terminally acetylated in either nat1 or ard1 mutants. These results suggest that NAT1 and ARD1 proteins function together to catalyze the N-terminal acetylation of a subset of yeast proteins.

Acetyltransferases

Profile scanning for three-dimensional structural patterns in protein sequences.

Profile analysis measures the similarity between a target sequence and a group of aligned sequences (the probe). The probe sequences are used to produce a position-specific scoring table (the profile) that can be aligned with any sequence (the target) using standard dynamic programming methods. We are developing a library of profiles, each describing a different structural motif. This allows any target sequence to be rapidly scanned for the presence of structural motifs. Levels of significance for the comparison of target sequences with the profile are determined in advance, permitting an objective decision to be made as to whether a protein is likely to possess a structural motif.

Amino Acid Sequence

Profile analysis: detection of distantly related proteins.

Profile analysis is a method for detecting distantly related proteins by sequence comparison. The basis for comparison is not only the customary Dayhoff mutational-distance matrix but also the results of structural studies and information implicit in the alignments of the sequences of families of similar proteins. This information is expressed in a position-specific scoring table (profile), which is created from a group of sequences previously aligned by structural or sequence similarity. The similarity of any other sequence (target) to the group of aligned sequences (probe) can be tested by comparing the target to the profile using dynamic programming algorithms. The profile method differs in two major respects from methods of sequence comparison in common use: (i) Any number of known sequences can be used to construct the profile, allowing more information to be used in the testing of the target than is possible with pairwise alignment methods. (ii) The profile includes the penalties for insertion or deletion at each position, which allow one to include the probe secondary structure in the testing scheme. Tests with globin and immunoglobulin sequences show that profile analysis can distinguish all members of these families from all other sequences in a database containing 3800 protein sequences.

Amino Acid Sequence

Sigma factors from E. coli, B. subtilis, phage SP01, and phage T4 are homologous proteins.

We show, using dot matrix comparisons and statistical analysis of sequence alignments, that seven sequenced sigma factors, E. coli sigma-70 and sigma-32, B. subtilis sigma-43 and sigma-29, phage SP01 gene products 28 and 34, and phage T4 gene product 55, comprise a homologous family of proteins. Sigma-70, sigma-32, and sigma-43 each have two copies of a sequence similar to the helix-turn-helix DNA binding motif seen in CRP, and lambda repressor and cro proteins. B. subtilis sigma-29, SP01 gp28, and SP01 gp34 have at least one copy similar to this sequence. We propose that a second sequence, conserved in all seven proteins is the core RNA polymerase binding site. A third region, present only in sigma-70 and sigma-43, may also be involved in interaction with core. Available mutational evidence supports our model for sigma factor structure.

Amino Acid Sequence

PEPPLOT, a protein secondary structure analysis program for the UWGCG sequence analysis software package.

We describe a program for the analysis of protein secondary structure that operates with the Sequence Analysis Software Package of the University of Wisconsin Genetics Computer Group (UWGCG). The program produces both graphic and printed output. Structure prediction using the Chou and Fasman and Robson et al methods, and hydropathy analysis by the method of Kyte and Doolittle are included along with a simplified method of hydrophobic moment analysis. The power of the program is the coordinated presentation of many different kinds of structural information on the same plot.

Amino Acid Sequence