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Dive into the research topics where S. Sri Krishna is active.

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Featured researches published by S. Sri Krishna.


Proteins | 2003

CASP5 Assessment of Fold Recognition Target Predictions

Lisa N. Kinch; James O. Wrabl; S. Sri Krishna; Indraneel Majumdar; Ruslan I. Sadreyev; Yuan Qi; Jimin Pei; Hua Cheng; Nick V. Grishin

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. Proteins 2003;53:395–409.


PLOS Biology | 2009

Exploration of Uncharted Regions of the Protein Universe

Lukasz Jaroszewski; Zhanwen Li; S. Sri Krishna; Constantina Bakolitsa; John Wooley; Ashley M. Deacon; Ian A. Wilson; Adam Godzik

Determination of first protein structures, from hundreds of families of unknown function, have shown that divergence, rather than novelty, is the dominant force that shapes the evolution of the protein universe.


Proteins | 2007

Crystal structures of two novel dye-decolorizing peroxidases reveal a beta-barrel fold with a conserved heme-binding motif.

Chloe Zubieta; S. Sri Krishna; Mili Kapoor; Piotr Kozbial; Daniel McMullan; Herbert L. Axelrod; Mitchell D. Miller; Polat Abdubek; Eileen Ambing; Tamara Astakhova; Dennis Carlton; Hsiu-Ju Chiu; Thomas Clayton; Marc C. Deller; Lian Duan; Marc-André Elsliger; Julie Feuerhelm; Slawomir K. Grzechnik; Joanna Hale; Eric Hampton; Gye Won Han; Lukasz Jaroszewski; Kevin K. Jin; Heath E. Klock; Mark W. Knuth; Abhinav Kumar; David Marciano; Andrew T. Morse; Edward Nigoghossian; Linda Okach

BtDyP from Bacteroides thetaiotaomicron (strain VPI‐5482) and TyrA from Shewanella oneidensis are dye‐decolorizing peroxidases (DyPs), members of a new family of heme‐dependent peroxidases recently identified in fungi and bacteria. Here, we report the crystal structures of BtDyP and TyrA at 1.6 and 2.7 Å, respectively. BtDyP assembles into a hexamer, while TyrA assembles into a dimer; the dimerization interface is conserved between the two proteins. Each monomer exhibits a two‐domain, α+β ferredoxin‐like fold. A site for heme binding was identified computationally, and modeling of a heme into the proposed active site allowed for identification of residues likely to be functionally important. Structural and sequence comparisons with other DyPs demonstrate a conservation of putative heme‐binding residues, including an absolutely conserved histidine. Isothermal titration calorimetry experiments confirm heme binding, but with a stoichiometry of 0.3:1 (heme:protein). Proteins 2007.


Bioinformatics | 2005

Structural drift: a possible path to protein fold change

S. Sri Krishna; Nick V. Grishin

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 [email protected].


Structure | 2009

Structural Basis of Murein Peptide Specificity of a γ-D-glutamyl-L-diamino Acid Endopeptidase

Qingping Xu; Sebastian Sudek; Daniel McMullan; Mitchell D. Miller; Bernhard H. Geierstanger; David H. Jones; S. Sri Krishna; Glen Spraggon; Badry Bursalay; Polat Abdubek; Claire Acosta; Eileen Ambing; Tamara Astakhova; Herbert L. Axelrod; Dennis Carlton; Jonathan Caruthers; Hsiu-Ju Chiu; Thomas Clayton; Marc C. Deller; Lian Duan; Ylva Elias; Marc-André Elsliger; Julie Feuerhelm; Slawomir K. Grzechnik; Joanna Hale; Gye Won Han; Justin Haugen; Lukasz Jaroszewski; Kevin K. Jin; Heath E. Klock

The crystal structures of two homologous endopeptidases from cyanobacteria Anabaena variabilis and Nostoc punctiforme were determined at 1.05 and 1.60 A resolution, respectively, and contain a bacterial SH3-like domain (SH3b) and a ubiquitous cell-wall-associated NlpC/P60 (or CHAP) cysteine peptidase domain. The NlpC/P60 domain is a primitive, papain-like peptidase in the CA clan of cysteine peptidases with a Cys126/His176/His188 catalytic triad and a conserved catalytic core. We deduced from structure and sequence analysis, and then experimentally, that these two proteins act as gamma-D-glutamyl-L-diamino acid endopeptidases (EC 3.4.22.-). The active site is located near the interface between the SH3b and NlpC/P60 domains, where the SH3b domain may help define substrate specificity, instead of functioning as a targeting domain, so that only muropeptides with an N-terminal L-alanine can bind to the active site.


BMC Bioinformatics | 2005

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

Indraneel Majumdar; S. Sri Krishna; Nick V. Grishin

BackgroundThe majority of residues in protein structures are involved in the formation of α-helices and β-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.ResultsWe have developed a method PALSSE (Predictive Assignment of Linear Secondary Structure Elements) that delineates secondary structure elements (SSEs) from protein Cα coordinates and specifically addresses the requirements of vector-based protein similarity searches. Our program identifies two types of secondary structures: helix and β-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.ConclusionPALSSE 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/.


Acta Crystallographica Section F-structural Biology and Crystallization Communications | 2010

Structure of the γ-d-glutamyl-l-diamino acid endopeptidase YkfC from Bacillus cereus in complex with l-Ala-γ-d-Glu: insights into substrate recognition by NlpC/P60 cysteine peptidases

Qingping Xu; Polat Abdubek; Tamara Astakhova; Herbert L. Axelrod; Constantina Bakolitsa; Xiaohui Cai; Dennis Carlton; Connie Chen; Hsiu Ju Chiu; Michelle Chiu; Thomas Clayton; Debanu Das; Marc C. Deller; Lian Duan; Kyle Ellrott; Carol L. Farr; Julie Feuerhelm; Joanna C. Grant; Anna Grzechnik; Gye Won Han; Lukasz Jaroszewski; Kevin K. Jin; Heath E. Klock; Mark W. Knuth; Piotr Kozbial; S. Sri Krishna; Abhinav Kumar; Winnie W. Lam; David Marciano; Mitchell D. Miller

The crystal structure of the highly specific γ-d-glutamyl-l-diamino acid endopeptidase YkfC from Bacillus cereus in complex with l-Ala-γ-d-Glu reveals the structural basis for the substrate specificity of NlpC/P60-family cysteine peptidases.


BMC Bioinformatics | 2004

SCOPmap: Automated assignment of protein structures to evolutionary superfamilies

Sara Cheek; Yuan Qi; S. Sri Krishna; Lisa N. Kinch; Nick V. Grishin

BackgroundInference 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.ResultsThe 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 ~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.ConclusionThe SCOPmap program is useful for assigning domains in newly solved structures to appropriate superfamilies and for identifying evolutionary links between different superfamilies.


Journal of Molecular Biology | 2010

Crystal Structure of the First Eubacterial Mre11 Nuclease Reveals Novel Features that May Discriminate Substrates During DNA Repair

Debanu Das; Davide Moiani; Herbert L. Axelrod; Mitchell D. Miller; Daniel McMullan; Kevin K. Jin; Polat Abdubek; Tamara Astakhova; Prasad Burra; Dennis Carlton; Hsiu Ju Chiu; Thomas Clayton; Marc C. Deller; Lian Duan; Dustin Ernst; Julie Feuerhelm; Joanna C. Grant; Anna Grzechnik; Slawomir K. Grzechnik; Gye Won Han; Lukasz Jaroszewski; Heath E. Klock; Mark W. Knuth; Piotr Kozbial; S. Sri Krishna; Abhinav Kumar; David Marciano; Andrew T. Morse; Edward Nigoghossian; Linda Okach

Mre11 nuclease plays a central role in the repair of cytotoxic and mutagenic DNA double-strand breaks. As X-ray structural information has been available only for the Pyrococcus furiosus enzyme (PfMre11), the conserved and variable features of this nuclease across the domains of life have not been experimentally defined. Our crystal structure and biochemical studies demonstrate that TM1635 from Thermotoga maritima, originally annotated as a putative nuclease, is an Mre11 endo/exonuclease (TmMre11) and the first such structure from eubacteria. TmMre11 and PfMre11 display similar overall structures, despite sequence identity in the twilight zone of only approximately 20%. However, they differ substantially in their DNA-specificity domains and in their dimeric organization. Residues in the nuclease domain are highly conserved, but those in the DNA-specificity domain are not. The structural differences likely affect how Mre11 from different organisms recognize and interact with single-stranded DNA, double-stranded DNA and DNA hairpin structures during DNA repair. The TmMre11 nuclease active site has no bound metal ions, but is conserved in sequence and structure with the exception of a histidine that is important in PfMre11 nuclease activity. Nevertheless, biochemical characterization confirms that TmMre11 possesses both endonuclease and exonuclease activities on single-stranded and double-stranded DNA substrates, respectively.


Proteins | 2006

Crystal structure of acireductone dioxygenase (ARD) from Mus musculus at 2.06 Å resolution

Qingping Xu; Robert Schwarzenbacher; S. Sri Krishna; Daniel McMullan; Sanjay Agarwalla; Kevin Quijano; Polat Abdubek; Eileen Ambing; Herbert L. Axelrod; Tanya Biorac; Jaume M. Canaves; Hsiu-Ju Chiu; Marc-André Elsliger; Carina Grittini; Slawomir K. Grzechnik; Michael DiDonato; Joanna Hale; Eric Hampton; Gye Won Han; Justin Haugen; Michael Hornsby; Lukasz Jaroszewski; Heath E. Klock; Mark W. Knuth; Eric Koesema; Andreas Kreusch; Peter Kuhn; Mitchell D. Miller; Kin Moy; Edward Nigoghossian

Qingping Xu, Robert Schwarzenbacher, S. Sri Krishna, Daniel McMullan, Sanjay Agarwalla, Kevin Quijano, Polat Abdubek, Eileen Ambing, Herbert Axelrod, Tanya Biorac, Jaume M. Canaves, Hsiu-Ju Chiu, Marc-André Elsliger, Carina Grittini, Slawomir K. Grzechnik, Michael DiDonato, Joanna Hale, Eric Hampton, Gye Won Han, Justin Haugen, MichaelHornsby, Lukasz Jaroszewski, Heath E. Klock, Mark W. Knuth, Eric Koesema, Andreas Kreusch, Peter Kuhn, Mitchell D. Miller, Kin Moy, Edward Nigoghossian, Jessica Paulsen, Ron Reyes, Chris Rife, Glen Spraggon, Raymond C. Stevens, Henry van den Bedem, Jeff Velasquez, Aprilfawn White, Guenter Wolf, Keith O. Hodgson, John Wooley, Ashley M. Deacon, Adam Godzik, Scott A. Lesley, and Ian A. Wilson* The Joint Center for Structural Genomics Stanford Synchrotron Radiation Laboratory, Stanford University, Menlo Park, California The University of California San Diego, La Jolla, California The Genomics Institute of the Novartis Research Foundation, San Diego, California The Scripps Research Institute, La Jolla, California

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Heath E. Klock

Genomics Institute of the Novartis Research Foundation

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Polat Abdubek

Genomics Institute of the Novartis Research Foundation

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Mitchell D. Miller

SLAC National Accelerator Laboratory

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Daniel McMullan

Genomics Institute of the Novartis Research Foundation

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Gye Won Han

University of Southern California

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Kevin K. Jin

SLAC National Accelerator Laboratory

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Mark W. Knuth

Genomics Institute of the Novartis Research Foundation

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Herbert L. Axelrod

SLAC National Accelerator Laboratory

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Lian Duan

University of California

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Thomas Clayton

Scripps Research Institute

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