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Biomedical subjects

S Sri Krishna

Publications and source records attributed to S Sri Krishna.

At least 19 recordsLinked to original sources
PubMed2006

Comparative structural analysis of a novel glutathioneS-transferase (ATU5508) from Agrobacterium tumefaciens at 2.0 A resolution.

Glutathione S-transferases (GSTs) comprise a diverse superfamily of enzymes found in organisms from all kingdoms of life. GSTs are involved in diverse processes, notably small-molecule biosynthesis or detoxification, and are frequently also used in protein engineering studies or as biotechnology tools. Here, we report the high-resolution X-ray structure of Atu5508 from the pathogenic soil bacterium Agrobacterium tumefaciens (atGST1). Through use of comparative sequence and structural analysis of the GST superfamily, we identified local sequence and structural signatures, which allowed us to distinguish between different GST classes. This approach enables GST classification based on structure, without requiring additional biochemical or immunological data. Consequently, analysis of the atGST1 crystal structure suggests a new GST class, distinct from previously characterized GSTs, which would make it an attractive target for further biochemical studies.

Agrobacterium tumefaciens↗
PubMed2006

Representing and comparing protein structures as paths in three-dimensional space.

BACKGROUND: Most existing formulations of protein structure comparison are based on detailed atomic level descriptions of protein structures and bypass potential insights that arise from a higher-level abstraction. RESULTS: We propose a structure comparison approach based on a simplified representation of proteins that describes its three-dimensional path by local curvature along the generalized backbone of the polypeptide. We have implemented a dynamic programming procedure that aligns curvatures of proteins by optimizing a defined sum turning angle deviation measure. CONCLUSION: Although our procedure does not directly optimize global structural similarity as measured by RMSD, our benchmarking results indicate that it can surprisingly well recover the structural similarity defined by structure classification databases and traditional structure alignment programs. In addition, our program can recognize similarities between structures with extensive conformation changes that are beyond the ability of traditional structure alignment programs. We demonstrate the applications of procedure to several contexts of structure comparison. An implementation of our procedure, CURVE, is available as a public webserver.

Algorithms↗
PubMed2006

A tale of two ferredoxins: sequence similarity and structural differences.

BACKGROUND: Sequence similarity between proteins is usually considered a reliable indicator of homology. Pyruvate-ferredoxin oxidoreductase and quinol-fumarate reductase contain ferredoxin domains that bind [Fe-S] clusters and are involved in electron transport. Profile-based methods for sequence comparison, such as PSI-BLAST and HMMer, suggest statistically significant similarity between these domains. RESULTS: The sequence similarity between these ferredoxin domains resides in the area of the [Fe-S] cluster-binding sites. Although overall folds of these ferredoxins bear no obvious similarity, the regions of sequence similarity display a remarkable local structural similarity. These short regions with pronounced sequence motifs are incorporated in completely different structural environments. In pyruvate-ferredoxin oxidoreductase (bacterial ferredoxin), the hydrophobic core of the domain is completed by two beta-hairpins, whereas in quinol-fumarate reductase (alpha-helical ferredoxin), the cluster-binding motifs are part of a larger all-alpha-helical globin-like fold core. CONCLUSION: Functionally meaningful sequence similarity may sometimes be reflected only in local structural similarity, but not in global fold similarity. If detected and used naively, such similarities may lead to incorrect fold predictions.

Amino Acid Sequence↗
PubMed2006

Structural classification of small, disulfide-rich protein domains.

Disulfide-rich domains are small protein domains whose global folds are stabilized primarily by the formation of disulfide bonds and, to a much lesser extent, by secondary structure and hydrophobic interactions. Disulfide-rich domains perform a wide variety of roles functioning as growth factors, toxins, enzyme inhibitors, hormones, pheromones, allergens, etc. These domains are commonly found both as independent (single-domain) proteins and as domains within larger polypeptides. Here, we present a comprehensive structural classification of approximately 3000 small, disulfide-rich protein domains. We find that these domains can be arranged into 41 fold groups on the basis of structural similarity. Our fold groups, which describe broader structural relationships than existing groupings of these domains, bring together representatives with previously unacknowledged similarities; 18 of the 41 fold groups include domains from several SCOP folds. Within the fold groups, the domains are assembled into families of homologs. We define 98 families of disulfide-rich domains, some of which include newly detected homologs, particularly among knottin-like domains. On the basis of this classification, we have examined cases of convergent and divergent evolution of functions performed by disulfide-rich proteins. Disulfide bonding patterns in these domains are also evaluated. Reducible disulfide bonding patterns are much less frequent, while symmetric disulfide bonding patterns are more common than expected from random considerations. Examples of variations in disulfide bonding patterns found within families and fold groups are discussed.

Amino Acid Sequence↗
PubMed2005

PALSSE: a program to delineate linear secondary structural elements from protein structures.

BACKGROUND: The majority of residues in protein structures are involved in the formation of alpha-helices and beta-strands. These distinctive secondary structure patterns can be used to represent a protein for visual inspection and in vector-based protein structure comparison. Success of such structural comparison methods depends crucially on the accurate identification and delineation of secondary structure elements. RESULTS: We have developed a method PALSSE (Predictive Assignment of Linear Secondary Structure Elements) that delineates secondary structure elements (SSEs) from protein Calpha coordinates and specifically addresses the requirements of vector-based protein similarity searches. Our program identifies two types of secondary structures: helix and beta-strand, typically those that can be well approximated by vectors. In contrast to traditional secondary structure algorithms, which identify a secondary structure state for every residue in a protein chain, our program attributes residues to linear SSEs. Consecutive elements may overlap, thus allowing residues located at the overlapping region to have more than one secondary structure type. CONCLUSION: PALSSE is predictive in nature and can assign about 80% of the protein chain to SSEs as compared to 53% by DSSP and 57% by P-SEA. Such a generous assignment ensures almost every residue is part of an element and is used in structural comparisons. Our results are in agreement with human judgment and DSSP. The method is robust to coordinate errors and can be used to define SSEs even in poorly refined and low-resolution structures. The program and results are available at http://prodata.swmed.edu/palsse/.

Algorithms↗
PubMed2004

Structural drift: a possible path to protein fold change.

SUMMARY: Along with their mutating sequences, protein structures change in time. Analyzing a formate dehydrogenase domain that is evolutionarily related to ferredoxin, but simultaneously contains all the structural elements of a beta-Grasp fold, we illustrate here a mechanism termed as structural drift, by which changes to a protein fold can occur. CONTACT: grishin@chop.swmed.edu.

Carrier Proteins↗
PubMed2004

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↗
PubMed2004

The finger domain of the human deubiquitinating enzyme HAUSP is a zinc ribbon.

Human deubiquitinating enzyme HAUSP is a cysteine protease that regulates the levels of the tumor suppressor protein p53. By comparative sequence and structural analysis, we show that the previously uncharacterized finger domain insert to the catalytic core of HAUSP is a zinc ribbon that has lost its zinc-binding ability.

Amino Acid Sequence↗
PubMed2004

Influence of a mutation in the ATP-binding region of Ca2+/calmodulin-dependent protein kinase II on its interaction with peptide substrates.

CaMKII (Ca2+/calmodulin-dependent protein kinase II) is expressed in high concentrations in the brain and is found enriched in the postsynaptic densities. The enzyme is activated by the binding of calmodulin to the autoregulatory domain in the presence of high levels of intracellular Ca2+, which causes removal of auto-inhibition from the N-terminal catalytic domain. Knowledge of the 3D (three-dimensional) structure of this enzyme at atomic resolution is restricted to the association domain, a region at the extreme C-terminus. The catalytic domain of CaMKII shares high sequence similarity with CaMKI. The 3D structure of the catalytic core of CaMKI comprises ATP- and substrate-binding regions in a cleft between two distinct lobes, similar to the structures of all protein kinases solved to date. Mutation of Glu-60, a residue in the ATP-binding region of CaMKII, to glycine exerts different effects on phosphorylation of two peptide substrates, syntide and NR2B ( N -methyl-D-aspartate receptor subunit 2B) 17-mer. Although the mutation caused increases in the Km values for phosphorylation for both the peptide substrates, the effect on the kcat values for each was different. The kcat value decreased in the case of syntide, whereas it increased in the case of the NR2B peptide as a result of the mutation. This resulted in a significant decrease in the apparent kcat/Km value for syntide, but the change was minimal for the NR2B peptide. These results indicate that different catalytic mechanisms are employed by the kinase for the two peptides. Molecular modelling suggests structural changes are likely to occur at the peptide-binding pocket in the active state of the enzyme as a consequence of the Glu-60-->Gly mutation.

Adenosine Triphosphate↗