Evidence map›Paper›PMID 23617634›Full record

ArticleBMC structural biology2013

Structural and functional studies of S-adenosyl-L-methionine binding proteins: a ligand-centric approach.

Rajaram Gana, Shruti Rao, Hongzhan Huang, Cathy Wu, Sona Vasudevan

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Article in BMC structural biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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26citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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  12. Structure-function analysis of the nsp14 N7-guanine methyltransferase reveals an essential role inProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
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  15. Structure-function studies of tetrahydroprotoberberineThe Journal of biological chemistry · 2019
    Article
  16. Review
  17. Article
  18. Review
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rajaram GanaDepartment of Biostatistics and Bioinformatics, Georgetown University Medical Center, Washington, DC 20007, USA.
Shruti Rao
Hongzhan Huang
Cathy Wu
Sona Vasudevan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe post-genomic era poses several challenges. The biggest is the identification of biochemical function for protein sequences and structures resulting from genomic initiatives. Most sequences lack a characterized function and are annotated as hypothetical or uncharacterized. While homology-based methods are useful, and work well for sequences with sequence identities above 50%, they fail for sequences in the twilight zone (<30%) of sequence identity. For cases where sequence methods fail, structural approaches are often used, based on the premise that structure preserves function for longer evolutionary time-frames than sequence alone. It is now clear that no single method can be used successfully for functional inference. Given the growing need for functional assignments, we describe here a systematic new approach, designated ligand-centric, which is primarily based on analysis of ligand-bound/unbound structures in the PDB. Results of applying our approach to S-adenosyl-L-methionine (SAM) binding proteins are presented.

resultsOur analysis included 1,224 structures that belong to 172 unique families of the Protein Information Resource Superfamily system. Our ligand-centric approach was divided into four levels: residue, protein/domain, ligand, and family levels. The residue level included the identification of conserved binding site residues based on structure-guided sequence alignments of representative members of a family, and the identification of conserved structural motifs. The protein/domain level included structural classification of proteins, Pfam domains, domain architectures, and protein topologies. The ligand level included ligand conformations, ribose sugar puckering, and the identification of conserved ligand-atom interactions. The family level included phylogenetic analysis.

conclusionWe found that SAM bound to a total of 18 different fold types (I-XVIII). We identified 4 new fold types and 11 additional topological arrangements of strands within the well-studied Rossmann fold Methyltransferases (MTases). This extends the existing structural classification of SAM binding proteins. A striking correlation between fold type and the conformation of the bound SAM (classified as types) was found across the 18 fold types. Several site-specific rules were created for the assignment of functional residues to families and proteins that do not have a bound SAM or a solved structure.

Indexed as

LigandsAmino Acid MotifsBinding SitesDatabases, ProteinMethyltransferasesProtein BindingProtein FoldingProteinsProtein Structure, TertiaryS-AdenosylmethionineTemperatureLigandsMethyltransferasesProteinsS-Adenosylmethionine

Identifiers

PMID23617634
PMCPMC3662625

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.