Literature DB >> 15840824

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

Dennis R Livesay1, David La.   

Abstract

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.

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Year:  2005        PMID: 15840824      PMCID: PMC2253277          DOI: 10.1110/ps.041221105

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  43 in total

1.  Homology among (betaalpha)(8) barrels: implications for the evolution of metabolic pathways.

Authors:  R R Copley; P Bork
Journal:  J Mol Biol       Date:  2000-11-03       Impact factor: 5.469

2.  The time scale of the catalytic loop motion in triosephosphate isomerase.

Authors:  S Rozovsky; A E McDermott
Journal:  J Mol Biol       Date:  2001-06-29       Impact factor: 5.469

Review 3.  Superefficient enzymes.

Authors:  M E Stroppolo; M Falconi; A M Caccuri; A Desideri
Journal:  Cell Mol Life Sci       Date:  2001-09       Impact factor: 9.261

4.  Prediction of functionally important residues based solely on the computed energetics of protein structure.

Authors:  A H Elcock
Journal:  J Mol Biol       Date:  2001-09-28       Impact factor: 5.469

5.  An accurate, sensitive, and scalable method to identify functional sites in protein structures.

Authors:  Hui Yao; David M Kristensen; Ivana Mihalek; Mathew E Sowa; Chad Shaw; Marek Kimmel; Lydia Kavraki; Olivier Lichtarge
Journal:  J Mol Biol       Date:  2003-02-07       Impact factor: 5.469

Review 6.  One fold with many functions: the evolutionary relationships between TIM barrel families based on their sequences, structures and functions.

Authors:  Nozomi Nagano; Christine A Orengo; Janet M Thornton
Journal:  J Mol Biol       Date:  2002-08-30       Impact factor: 5.469

Review 7.  Searching for functional sites in protein structures.

Authors:  Susan Jones; Janet M Thornton
Journal:  Curr Opin Chem Biol       Date:  2004-02       Impact factor: 8.822

8.  Solution-state NMR investigations of triosephosphate isomerase active site loop motion: ligand release in relation to active site loop dynamics.

Authors:  S Rozovsky; G Jogl; L Tong; A E McDermott
Journal:  J Mol Biol       Date:  2001-06-29       Impact factor: 5.469

Review 9.  The TIM-barrel fold: a versatile framework for efficient enzymes.

Authors:  R K Wierenga
Journal:  FEBS Lett       Date:  2001-03-16       Impact factor: 4.124

10.  Structural determinants for ligand binding and catalysis of triosephosphate isomerase.

Authors:  I Kursula; S Partanen; A M Lambeir; D M Antonov; K Augustyns; R K Wierenga
Journal:  Eur J Biochem       Date:  2001-10
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  10 in total

1.  A novel method for protein-protein interaction site prediction using phylogenetic substitution models.

Authors:  David La; Daisuke Kihara
Journal:  Proteins       Date:  2011-10-12

Review 2.  Triosephosphate isomerase: a highly evolved biocatalyst.

Authors:  R K Wierenga; E G Kapetaniou; R Venkatesan
Journal:  Cell Mol Life Sci       Date:  2010-08-07       Impact factor: 9.261

3.  Sequence signatures in envelope protein may determine whether flaviviruses produce hemorrhagic or encephalitic syndromes.

Authors:  Winona C Barker; Raja Mazumder; Sona Vasudevan; Jose-Luis Sagripanti; Cathy H Wu
Journal:  Virus Genes       Date:  2009-03-13       Impact factor: 2.332

4.  Modeling-dependent protein characterization of the rice aldehyde dehydrogenase (ALDH) superfamily reveals distinct functional and structural features.

Authors:  Simeon O Kotchoni; Jose C Jimenez-Lopez; Dongying Gao; Vincent Edwards; Emma W Gachomo; Venu M Margam; Manfredo J Seufferheld
Journal:  PLoS One       Date:  2010-07-12       Impact factor: 3.240

5.  MINER: software for phylogenetic motif identification.

Authors:  David La; Dennis R Livesay
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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

Authors:  David La; Dennis R Livesay
Journal:  BMC Bioinformatics       Date:  2005-05-13       Impact factor: 3.169

Review 7.  Fish Allergy Around the World-Precise Diagnosis to Facilitate Patient Management.

Authors:  Tanja Kalic; Christian Radauer; Andreas L Lopata; Heimo Breiteneder; Christine Hafner
Journal:  Front Allergy       Date:  2021-10-13

8.  Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study analyzing the neurotransmitter/Na+ symporter family.

Authors:  Dennis R Livesay; Patrick D Kidd; Sepehr Eskandari; Usman Roshan
Journal:  BMC Bioinformatics       Date:  2007-10-17       Impact factor: 3.169

9.  How accurate and statistically robust are catalytic site predictions based on closeness centrality?

Authors:  Eric Chea; Dennis R Livesay
Journal:  BMC Bioinformatics       Date:  2007-05-11       Impact factor: 3.169

10.  Variations within class-A β-lactamase physiochemical properties reflect evolutionary and environmental patterns, but not antibiotic specificity.

Authors:  Deeptak Verma; Donald J Jacobs; Dennis R Livesay
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

  10 in total

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