ArticlePLoS computational biology2012
Insights into the fold organization of TIM barrel from interaction energy based structure networks.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Molecular Dynamics Simulations of 4Computational and structural biotechnology journal · 2026Article
- Structural, biophysical, and biochemical insights into C-S bond cleavage by dimethylsulfone monooxygenase.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Diversifying de novo TIM barrels by hallucination.Protein science : a publication of the Protein Society · 2024Article
- Article
- Architecture, Function, Regulation, and Evolution of α-Glucans Metabolic Enzymes in Prokaryotes.Chemical reviews · 2024Review
- The SKMT Algorithm: A method for assessing and comparing underlying protein entanglement.PLoS computational biology · 2023Article
- Network approach to understand biological systems: From single to multilayer networks.Journal of biosciences · 2022Article
- NAPS update: network analysis of molecular dynamics data and protein-nucleic acid complexes.Nucleic acids research · 2019Article
- Correlation of fitness landscapes from three orthologous TIM barrels originates from sequence and structure constraints.Nature communications · 2017Article
- Similarity in Shape Dictates Signature Intrinsic Dynamics Despite No Functional Conservation in TIM Barrel Enzymes.PLoS computational biology · 2016Article
- The value of protein structure classification information-Surveying the scientific literature.Proteins · 2015Article
- Design of symmetric TIM barrel proteins from first principles.BMC biochemistry · 2015Article
- Amino acid distribution rules predict protein fold: protein grammar for beta-strand sandwich-like structures.Biomolecules · 2015Article
- An automated approach to network features of protein structure ensembles.Protein science : a publication of the Protein Society · 2013Article
- Structural basis of the novel S. pneumoniae virulence factor, GHIP, a glycosyl hydrolase 25 participating in host-cell invasion.PloS one · 2013Article
- Interaction signatures stabilizing the NAD(P)-binding Rossmann fold: a structure network approach.PloS one · 2012Article
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2 authors.
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Abstract
There are many well-known examples of proteins with low sequence similarity, adopting the same structural fold. This aspect of sequence-structure relationship has been extensively studied both experimentally and theoretically, however with limited success. Most of the studies consider remote homology or "sequence conservation" as the basis for their understanding. Recently "interaction energy" based network formalism (Protein Energy Networks (PENs)) was developed to understand the determinants of protein structures. In this paper we have used these PENs to investigate the common non-covalent interactions and their collective features which stabilize the TIM barrel fold. We have also developed a method of aligning PENs in order to understand the spatial conservation of interactions in the fold. We have identified key common interactions responsible for the conservation of the TIM fold, despite high sequence dissimilarity. For instance, the central beta barrel of the TIM fold is stabilized by long-range high energy electrostatic interactions and low-energy contiguous vdW interactions in certain families. The other interfaces like the helix-sheet or the helix-helix seem to be devoid of any high energy conserved interactions. Conserved interactions in the loop regions around the catalytic site of the TIM fold have also been identified, pointing out their significance in both structural and functional evolution. Based on these investigations, we have developed a novel network based phylogenetic analysis for remote homologues, which can perform better than sequence based phylogeny. Such an analysis is more meaningful from both structural and functional evolutionary perspective. We believe that the information obtained through the "interaction conservation" viewpoint and the subsequently developed method of structure network alignment, can shed new light in the fields of fold organization and de novo computational protein design.
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