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Lisa N Kinch

Publications and source records attributed to Lisa N Kinch.

13 recordsLinked to original sources

Site-2 protease regulated intramembrane proteolysis: sequence homologs suggest an ancient signaling cascade.

Site-2 proteases (S2Ps) form a large family of membrane-embedded metalloproteases that participate in cellular signaling pathways through sequential cleavage of membrane-tethered substrates. Using sequence similarity searches, we extend the S2P family to include remote homologs that help define a conserved structural core consisting of three predicted transmembrane helices with traditional metalloprotease functional motifs and a previously unrecognized motif (GxxxN/S/G). S2P relatives were identified in genomes from Bacteria, Archaea, and Eukaryota including protists, plants, fungi, and animals. The diverse S2P homologs divide into several groups that differ in various inserted domains and transmembrane helices. Mammalian S2P proteases belong to the major ubiquitous group and contain a PDZ domain. Sequence and structural analysis of the PDZ domain support its mediating the sequential cleavage of membrane-tethered substrates. Finally, conserved genomic neighborhoods of S2P homologs allow functional predictions for PDZ-containing transmembrane proteases in extra-cytoplasmic stress response and lipid metabolism.

Amino Acid Sequence↗

Prediction of functional specificity determinants from protein sequences using log-likelihood ratios.

MOTIVATION: A number of methods have been developed to predict functional specificity determinants in protein families based on sequence information. Most of these methods rely on pre-defined functional subgroups. Manual subgroup definition is difficult because of the limited number of experimentally characterized subfamilies with differing specificity, while automatic subgroup partitioning using computational tools is a non-trivial task and does not always yield ideal results. RESULTS: We propose a new approach SPEL (specificity positions by evolutionary likelihood) to detect positions that are likely to be functional specificity determinants. SPEL, which does not require subgroup definition, takes a multiple sequence alignment of a protein family as the only input, and assigns a P-value to every position in the alignment. Positions with low P-values are likely to be important for functional specificity. An evolutionary tree is reconstructed during the calculation, and P-value estimation is based on a random model that involves evolutionary simulations. Evolutionary log-likelihood is chosen as a measure of amino acid distribution at a position. To illustrate the performance of the method, we carried out a detailed analysis of two protein families (LacI/PurR and G protein alpha subunit), and compared our method with two existing methods (evolutionary trace and mutual information based). All three methods were also compared on a set of protein families with known ligand-bound structures. AVAILABILITY: SPEL is freely available for non-commercial use. Its pre-compiled versions for several platforms and alignments used in this work are available at ftp://iole.swmed.edu/pub/SPEL/

Algorithms↗

Identification of novel restriction endonuclease-like fold families among hypothetical proteins.

Restriction endonucleases and other nucleic acid cleaving enzymes form a large and extremely diverse superfamily that display little sequence similarity despite retaining a common core fold responsible for cleavage. The lack of significant sequence similarity between protein families makes homology inference a challenging task and hinders new family identification with traditional sequence-based approaches. Using the consensus fold recognition method Meta-BASIC that combines sequence profiles with predicted protein secondary structure, we identify nine new restriction endonuclease-like fold families among previously uncharacterized proteins and predict these proteins to cleave nucleic acid substrates. Application of transitive searches combined with gene neighborhood analysis allow us to confidently link these unknown families to a number of known restriction endonuclease-like structures and thus assign folds to the uncharacterized proteins. Finally, our method identifies a novel restriction endonuclease-like domain in the C-terminus of RecC that is not detected with structure-based searches of the existing PDB database.

Amino Acid Sequence↗

EDD, a novel phosphotransferase domain common to mannose transporter EIIA, dihydroxyacetone kinase, and DegV.

Using a recently developed program (SCOPmap) designed to automatically assign new protein structures to existing evolutionary-based classification schemes, we identify a evolutionarily conserved domain (EDD) common to three different folds: mannose transporter EIIA domain (EIIA-man), dihydroxyacetone kinase (Dak), and DegV. Several lines of evidence support unification of these three folds into a single superfamily: statistically significant sequence similarity detected by PSI-BLAST; "closed structural grouping" using DALI Z-scores (each protein inside a group finds all other group members with scores higher than those to proteins outside the group) that includes only these proteins sharing a unique alpha-helical hairpin at the C-terminus and excludes all other proteins with similar topology; similar domain fusions connect Dak and DegV, and genomic neighborhood organizations connect Dak and EIIA-man. Finally, both Dak and EIIA-man perform similar phosphotransfer reactions, suggesting a phosphotransferase activity for the DegV-like family of proteins, whose function other than lipid binding revealed in the crystal structure remains unknown.

Amino Acid Sequence↗

4SCOPmap: automated assignment of protein structures to evolutionary superfamilies.

BACKGROUND: Inference of remote homology between proteins is very challenging and remains a prerogative of an expert. Thus a significant drawback to the use of evolutionary-based protein structure classifications is the difficulty in assigning new proteins to unique positions in the classification scheme with automatic methods. To address this issue, we have developed an algorithm to map protein domains to an existing structural classification scheme and have applied it to the SCOP database. RESULTS: The general strategy employed by this algorithm is to combine the results of several existing sequence and structure comparison tools applied to a query protein of known structure in order to find the homologs already classified in SCOP database and thus determine classification assignments. The algorithm is able to map domains within newly solved structures to the appropriate SCOP superfamily level with approximately 95% accuracy. Examples of correctly mapped remote homologs are discussed. The algorithm is also capable of identifying potential evolutionary relationships not specified in the SCOP database, thus helping to make it better. The strategy of the mapping algorithm is not limited to SCOP and can be applied to any other evolutionary-based classification scheme as well. SCOPmap is available for download. CONCLUSION: The SCOPmap program is useful for assigning domains in newly solved structures to appropriate superfamilies and for identifying evolutionary links between different superfamilies.

Algorithms↗

Deciphering a novel thioredoxin-like fold family.

Sequence--and structure-based searching strategies have proven useful in the identification of remote homologs and have facilitated both structural and functional predictions of many uncharacterized protein families. We implement these strategies to predict the structure of and to classify a previously uncharacterized cluster of orthologs (COG3019) in the thioredoxin-like fold superfamily. The results of each searching method indicate that thioltransferases are the closest structural family to COG3019. We substantiate this conclusion using the ab initio structure prediction method rosetta, which generates a thioredoxin-like fold similar to that of the glutaredoxin-like thioltransferase (NrdH) for a COG3019 target sequence. This structural model contains the thiol-redox functional motif CYS-X-X-CYS in close proximity to other absolutely conserved COG3019 residues, defining a novel thioredoxin-like active site that potentially binds metal ions. Finally, the rosetta-derived model structure assists us in assembling a global multiple-sequence alignment of COG3019 with two other thioredoxin-like fold families, the thioltransferases and the bacterial arsenate reductases (ArsC).

Amino Acid Sequence↗

CASP5 target classification.

This report summarizes the Critical Assessment of Protein Structure Prediction (CASP5) target proteins, which included 67 experimental models submitted from various structural genomics efforts and independent research groups. Throughout this special issue, CASP5 targets are referred to with the identification numbers T0129-T0195. Several of these targets were excluded from the assessment for various reasons: T0164 and T0166 were cancelled by the organizers; T0131, T0144, T0158, T0163, T0171, T0175, and T0180 were not available in time; T0145 was "natively unfolded"; the T0139 structure became available before the target expired; and T0194 was solved for a different sequence than the one submitted. Table I outlines the sequence and structural information available for CASP5 proteins in the context of existing folds and evolutionary relationships. This information provided the basis for a domain-based classification of the target structures into three assessment categories: comparative modeling (CM), fold recognition (FR), and new fold (NF). The FR category was further subdivided into homologues [FR(H)] and analogs [FR(A)] based on evolutionary considerations, and the overlap between assessment categories was classified as CM/FR(H) and FR(A)/NF. CASP5 domains are illustrated in Figure 1. Examples of nontrivial links between CASP5 target domains and existing structures that support our classifications are provided.

Binding Sites↗

CASP5 assessment of fold recognition target predictions.

We present an overview of the fifth round of Critical Assessment of Protein Structure Prediction (CASP5) fold recognition category. Prediction models were evaluated by using six different structural measures and four different alignment measures, and these scores were compared to those assigned manually over a diverse subset of target domains. Scores were combined to compare overall performance of participating groups and to estimate rank significance. The methods used by a few groups outperformed all other methods in terms of the evaluated criteria and could be considered state-of-the-art in structure prediction. We discuss a few examples of difficult fold recognition targets to highlight the progress of ab initio-type methods on difficult structure analogs and the difficulties of predicting multidomain targets and selecting prediction models. We also compared the results of manual groups to those of automatic servers evaluated in parallel by CAFASP, showing that the top performing automated server structure predictions approached those of the best manual predictors.

Algorithms↗

Putrescine activation of Trypanosoma cruzi S-adenosylmethionine decarboxylase.

S-Adenosylmethionine decarboxylase (AdoMetDC) is a pyruvoyl-dependent enzyme that is processed from a single polypeptide into two subunits creating the cofactor. In the human enzyme, both the proenzyme processing reaction and enzyme activity are stimulated by the polyamine putrescine. The processing reaction of Trypanosoma cruzi AdoMetDC was studied in an in vitro translation system. The enzyme was fully processed in the absence of putrescine, and the rate of this reaction was not stimulated by addition of the polyamine. Residues in the putrescine binding site of the human enzyme were evaluated for their role in processing of the T. cruzi enzyme. The E15A, I80K/S178E, D174A, and E256A mutant T. cruzi enzymes were fully processed. In contrast, mutation of R13 to Leu (the equivalent residue in the human enzyme) abolished processing of the T. cruzi enzyme, demonstrating that Arg at position 13 is a major determinant for proenzyme processing in the parasite enzyme. This amino acid change is a key structural difference that is likely to be a factor in the finding that putrescine has no role in processing of the T. cruzi enzyme. In contrast, the activity of T. cruzi AdoMetDC is stimulated by putrescine. Equilibrium sedimentation experiments demonstrated that putrescine does not alter the oligomeric state of the enzyme. The putrescine binding constant for binding to the T. cruzi enzyme (K(d) = 150 microM) was measured by a fluorescence assay and by ultrafiltration with a radiolabeled ligand. The mutant T. cruzi enzyme D174V no longer binds putrescine, and is not activated by the diamine. In contrast, mutation of E15, S178, E256, and I80 had no effect on putrescine binding. The k(cat)/K(m) values for E15A and E256A mutants were stimulated by putrescine to a smaller extent than the wild-type enzyme (2- and 4-fold vs 11-fold, respectively). These data suggest that the putrescine binding site on the T. cruzi enzyme contains only limited elements (D174) in common with the human enzyme and that the diamine plays different roles in the function of the mammalian and parasite enzymes.

Adenosylmethionine Decarboxylase↗

Expanding the nitrogen regulatory protein superfamily: Homology detection at below random sequence identity.

Nitrogen regulatory (PII) proteins are signal transduction molecules involved in controlling nitrogen metabolism in prokaryots. PII proteins integrate the signals of intracellular nitrogen and carbon status into the control of enzymes involved in nitrogen assimilation. Using elaborate sequence similarity detection schemes, we show that five clusters of orthologs (COGs) and several small divergent protein groups belong to the PII superfamily and predict their structure to be a (betaalphabeta)(2) ferredoxin-like fold. Proteins from the newly emerged PII superfamily are present in all major phylogenetic lineages. The PII homologs are quite diverse, with below random (as low as 1%) pairwise sequence identities between some members of distant groups. Despite this sequence diversity, evidence suggests that the different subfamilies retain the PII trimeric structure important for ligand-binding site formation and maintain a conservation of conservations at residue positions important for PII function. Because most of the orthologous groups within the PII superfamily are composed entirely of hypothetical proteins, our remote homology-based structure prediction provides the only information about them. Analogous to structural genomics efforts, such prediction gives clues to the biological roles of these proteins and allows us to hypothesize about locations of functional sites on model structures or rationalize about available experimental information. For instance, conserved residues in one of the families map in close proximity to each other on PII structure, allowing for a possible metal-binding site in the proteins coded by the locus known to affect sensitivity to divalent metal ions. Presented analysis pushes the limits of sequence similarity searches and exemplifies one of the extreme cases of reliable sequence-based structure prediction. In conjunction with structural genomics efforts to shed light on protein function, our strategies make it possible to detect homology between highly diverse sequences and are aimed at understanding the most remote evolutionary connections in the protein world.

Amino Acid Sequence↗

Evolution of protein structures and functions.

Within the ever-expanding repertoire of known protein sequences and structures, many examples of evolving three-dimensional structures are emerging that illustrate the plasticity and robustness of protein folds. The mechanisms by which protein folds change often include the fusion of duplicated domains, followed by divergence through mutation. Such changes reflect both the stability of protein folds and the requirements of protein function.

Amino Acid Motifs↗

Sec61beta--a component of the archaeal protein secretory system.

Sec61p/SecYEG complexes mediate protein translocation across membranes and are present in both eukaryotes and bacteria. Whereas homologues of Sec61alpha/SecY and Sec61gamma/SecE exist in archaea, identification of the third component (Sec61beta or SecG) has remained elusive. Using PSI-BLAST, the archaeal counterpart of Sec61beta has been detected. With the identification of the Sec61beta motif, functions for a universal family of archaeal proteins can be predicted and the archaeal translocon system can be definitively detected.

Amino Acid Motifs↗

Mutations in the carboxyl-terminal domain of phospholipase C-beta 1 delineate the dimer interface and a potential Galphaq interaction site.

The carboxyl-terminal domain of phospholipase C-beta is required for its stimulation by Galpha(q) and for its Galpha(q)-specific GTPase-activating protein (GAP) activity. We subjected this domain to a combination of deletion and alanine/glycine scanning mutagenesis to detect mutations that would inhibit either responsiveness to G(q) or G(q) GAP activity. Most mutations that altered either response or GAP activity diminished both in parallel. Many of these mutations map at the interface at which the carboxyl-terminal domain was recently shown to form a dimer (Singer, A. U., et al. (2001) Nat. Struct. Biol., 9, 32-36). Most others clustered in an area that is a plausible Galpha(q) binding site. In addition, one mutation that differentially inhibited GAP activity relative to responsiveness to Galpha(q) mapped in this region at a location modeled to be in close contact with the switch II region of Galpha(q). This is the site at which RGS proteins are thought to exert their GAP activity. Last, a deletion mutation differentially inhibited the response of phospholipase C-beta1 to Galpha(q) without blocking GAP activity. Its location in the molecule suggests that moving the attachment point of the catalytic domain can disrupt its ability to be activated by Galpha(q).

Animals↗