Biomedical subjects

Dennis R Livesay

Publications and source records attributed to Dennis R Livesay.

9 recordsLinked to original sources

PubMed2005

MINER: software for phylogenetic motif identification.

MINER is web-based software for phylogenetic motif (PM) identification. PMs are sequence regions (fragments) that conserve the overall familial phylogeny. PMs have been shown to correspond to a wide variety of catalytic regions, substrate-binding sites and protein interfaces, making them ideal functional site predictions. The MINER output provides an intuitive interface for interactive PM sequence analysis and structural visualization. The web implementation of MINER is freely available at http://www.pmap.csupomona.edu/MINER/. Source code is available to the academic community on request.

Amino Acid Motifs↗

PubMed2005

Predicting functional sites with an automated algorithm suitable for heterogeneous datasets.

BACKGROUND: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overall familial phylogeny, represent a promising approach for sequence/function annotation. Across a structurally and functionally heterogeneous dataset, phylogenetic motifs have been demonstrated to correspond to a wide variety of functional site archetypes, including those defined by surface loops, active site clefts, and less exposed regions. However, in our original demonstration of the technique, phylogenetic motif identification is dependent upon a manually determined similarity threshold, prohibiting large-scale application of the technique. RESULTS: In this report, we present an algorithmic approach that determines thresholds without human subjectivity. The approach relies on significant raw data preprocessing to improve signal detection. Subsequently, Partition Around Medoids Clustering (PAMC) of the similarity scores assesses sequence fragments where functional annotation remains in question. The accuracy of the approach is confirmed through comparisons to our previous (manual) results and structural analyses. Triosephosphate isomerase and arginyl-tRNA synthetase are discussed as exemplar cases. A quantitative functional site prediction assessment algorithm indicates that the phylogenetic motif predictions, which require sequence information only, are nearly as good as those from evolutionary trace methods that do incorporate structure. CONCLUSION: The automated threshold detection algorithm has been incorporated into MINER, our web-based phylogenetic motif identification server. MINER is freely available on the web at http://www.pmap.csupomona.edu/MINER/. Pre-calculated functional site predictions of the COG database and an implementation of the threshold detection algorithm, in the R statistical language, can also be accessed at the website.

Algorithms↗

PubMed2005

Predicting protein functional sites with phylogenetic motifs.

In this report, we demonstrate that phylogenetic motifs, sequence regions conserving the overall familial phylogeny, represent a promising approach to protein functional site prediction. Across our structurally and functionally heterogeneous data set, phylogenetic motifs consistently correspond to functional sites defined by both surface loops and active site clefts. Additionally, the partially buried prosthetic group regions of cytochrome P450 and succinate dehydrogenase are identified as phylogenetic motifs. In nearly all instances, phylogenetic motifs are structurally clustered, despite little overall sequence proximity, around key functional site features. Based on calculated false-positive expectations and standard motif identification methods, we show that phylogenetic motifs are generally conserved in sequence. This result implies that they can be considered motifs in the traditional sense as well. However, there are instances where phylogenetic motifs are not (overall) well conserved in sequence. This point is enticing, because it implies that phylogenetic motifs are able to identify key sequence regions that traditional motif-based approaches would not. Further, phylogenetic motif results are also shown to be consistent with evolutionary trace results, and bootstrapping is used to demonstrate tree significance.

Amino Acid Motifs↗

PubMed2005

The evolutionary origins and catalytic importance of conserved electrostatic networks within TIM-barrel proteins.

Conservation of function is the basic tenet of protein evolution. Conservation of key electrostatic properties is a frequently employed mechanism that leads to conserved function. In a previous report, we identified several conserved electrostatic properties in four protein families and one functionally diverse enzyme superfamily. In this report, we demonstrate the evolutionary and catalytic importance of electrostatic networks in three ubiquitous metabolic enzymes: triosephosphate isomerase, enolase, and transaldolase. Evolutionary importance is demonstrated using phylogenetic motifs (sequence fragments that parallel the overall familial phylogeny). Phylogenetic motifs frequently correspond to both catalytic residues and conserved interactions that fine-tune catalytic residue pKa values. Further, in the case of triosephosphate isomerase, quantitative differences in the catalytic Glu169 pKa values parallel subfamily differentiation. Finally, phylogenetic motifs are shown to structurally cluster around the active sites of eight different TIM-barrel families. Depending upon the mechanistic requisites of each reaction catalyzed, interruptions to the canonical fold may or may not be identified as phylogenetic motifs.

Amino Acid Sequence↗

PubMed2004

Conserved sequence and structure association motifs in antibody-protein and antibody-hapten complexes.

In this paper, we present the association requirements across a wide variety of antibody-antigen complexes. Phylogenetic analysis clearly indicates the representative nature of our structural dataset. Antigen molecules range from small-molecule haptens to complete protein structures. Common association motifs identified include five conserved tyrosine residues and a single conserved arginine residue from CDR-H3. Further, specificity is refined by a diverse array of antibody-antigen electrostatic interactions that maximize complex specificity. Through analysis of calculated pKa shifts on antigen binding, we find that these interactions are conserved at 23 alignment 'hot-spot' positions. Despite consistent roles in defining substrate specificity, 16 hot-spot positions are conserved less than 50% of the time. On the other hand, because of the conserved functional role of these positions, mutant screening at hot-spots is more likely to result in increased antigen specificity than elsewhere. Therefore, we believe these results should facilitate subsequent antibody design experimentation.

Amino Acid Sequence↗

PubMed2003

Using motif-based methods in multiple genome analyses: a case study comparing orthologous mesophilic and thermophilic proteins.

Protein motifs represent highly conserved regions within protein families and are generally accepted to describe critical regions required for protein stability and/or function. In this comprehensive analysis, we present a robust, unique approach to identify and compare corresponding mesophilic and thermophilic sequence motifs between all orthologous proteins within 44 microbial genomes. Motif similarity is determined through global sequence alignment of mesophilic and thermophilic motif pairs, which are identified by a greedy algorithm. Our results reveal only modest correlation between motif and overall sequence similarity, highlighting the rationale of motif-based approaches in comprehensive multigenome comparisons. Conserved mutations reflect previously suggested physiochemical principles for conferring thermostability. Additionally, comparisons between corresponding mesophilic and thermophilic motif pairs provide key biochemical insights related to thermostability and can be used to test the evolutionary robustness of individual structural comparisons. We demonstrate the ability of our unique approach to provide key insights in two examples: the TATA-box binding protein and glutamate dehydrogenase families. In the latter example, conserved mutations hint at novel origins leading to structural stability differences within the hexamer structures. Additionally, we present amino acid composition data and average protein length comparisons for all 44 microbial genomes.

Amino Acid Motifs↗

PubMed2003

Conservation of electrostatic properties within enzyme families and superfamilies.

Electrostatic interactions play a key role in enzyme catalytic function. At long range, electrostatics steer the incoming ligand/substrate to the active site, and at short distances, electrostatics provide the specific local interactions for catalysis. In cases in which electrostatics determine enzyme function, orthologs should share the electrostatic properties to maintain function. Often, electrostatic potential maps are employed to depict how conserved surface electrostatics preserve function. We expand on previous efforts to explain conservation of function, using novel electrostatic sequence and structure analyses of four enzyme families and one enzyme superfamily. We show that the spatial charge distribution is conserved within each family and superfamily. Conversely, phylogenetic analysis of key electrostatic residues provide the evolutionary origins of functionality.

Amino Acid Sequence↗

PubMed2003

Conferring thermostability to mesophilic proteins through optimized electrostatic surfaces.

Recently, there have been several experimental reports of proteins displaying appreciable stability gains through mutation of one or two amino acid residues. Here, we employ a simple theoretical model to quickly screen mutant structures for increased thermostability through optimization of the protein's electrostatic surface. Our results are able to reproduce the experimental observation that elimination of like-charge repulsions and creation of opposite-charge attractions on the protein surface is an efficient method to confer thermostability to a mesophilic protein. Using Poisson-Boltzmann electrostatics, we calculate relative protein stabilities for the exhaustive surface mutagenesis of the cold shock, RNase T1, and CheY proteins. Comparison with 25 experimentally characterized cold shock protein mutants reveals an average correlation of 0.86. The model is also quantitatively accurate when reproducing the experimental D49A and D49H mutant stabilities of RNase T1. This work represents the first comprehensive in silico screening of mutant candidates likely to confer thermostability to mesophilic proteins through optimization of surface electrostatics. Systematic single mutant, followed by double mutant, screening yields a limited number of mutant structures displaying significant stability gains suitable for subsequent experimental characterization.

Amino Acid Sequence↗

PubMed2003

Optimized electrostatic surfaces parallel increased thermostability: a structural bioinformatic analysis.

It has been known for some time that thermophilic proteins generally have increased numbers of non-covalent interactions (salt bridges, hydrogen bonds, etc.) compared with their mesophilic orthologs. Recently, anecdotal structural comparisons suggest that non-specific acid-base ion pairs on the protein surface can be an evolutionary efficient mechanism to increase thermostability. In this comprehensive structural analysis, we confirm this to be the case. Comparison of 127 orthologous mesophilic- thermophilic protein groups indicates a clear preference for stabilizing acid-base pairs on the surface of thermophilic proteins. Compared with positions in the core, stabilizing surface mutations are less likely to disrupt the tertiary structure, and thus more likely to be evolutionarily selected. Therefore, we believe that our results, in addition to being theoretically interesting, will facilitate identification of charge-altering mutations likely to increase the stability of a particular protein structure.

Computational Biology↗