Dataset Information

Structural and sequence motifs of protein (histone) methylation enzymes.

ABSTRACT: With genome sequencing nearing completion for the model organisms used in biomedical research, there is a rapidly growing appreciation that proteomics, the study of covalent modification to proteins, and transcriptional regulation will likely dominate the research headlines in the next decade. Protein methylation plays a central role in both of these fields, as several different residues (Arg, Lys, Gln) are methylated in cells and methylation plays a central role in the "histone code" that regulates chromatin structure and impacts transcription. In some cases, a single lysine can be mono-, di-, or trimethylated, with different functional consequences for each of the three forms. This review describes structural aspects of methylation of histone lysine residues by two enzyme families with entirely different structural scaffolding (the SET proteins and Dot1p) and methylation of protein arginine residues by PRMTs.

SUBMITTER: Cheng X

PROVIDER: S-EPMC2733851 | biostudies-literature | 2005

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Structural and sequence motifs of protein (histone) methylation enzymes.

Cheng Xiaodong X Collins Robert E RE Zhang Xing X

Annual review of biophysics and biomolecular structure 20050101

With genome sequencing nearing completion for the model organisms used in biomedical research, there is a rapidly growing appreciation that proteomics, the study of covalent modification to proteins, and transcriptional regulation will likely dominate the research headlines in the next decade. Protein methylation plays a central role in both of these fields, as several different residues (Arg, Lys, Gln) are methylated in cells and methylation plays a central role in the "histone code" that regul ...[more]

PMID: 15869391

Similar Datasets

Project description:The Protein Data Bank (PDB) has been a key resource for learning general rules of sequence-structure relationships in proteins. Quantitative insights have been gained by defining geometric descriptors of structure (e.g., distances, dihedral angles, solvent exposure, etc.) and observing their distributions and sequence preferences. Here we argue that as the PDB continues to grow, it may become unnecessary to reduce structure into a set of elementary descriptors. Instead, it could be possible to deduce quantitative sequence-structure relationships in the context of precisely-defined complex structural motifs by mining the PDB for closely matching backbone geometries. To validate this idea, we turned to the the task of predicting changes in protein stability upon amino-acid substitution-a difficult problem of broad significance. We defined non-contiguous tertiary motifs (TERMs) around a protein site of interest and extracted sequence preferences from ensembles of closely-matching substructures in the PDB to predict mutational stability changes at the site, ??Gm. We demonstrate that these ensemble statistics predict ??Gm on par with state-of-the-art statistical and machine-learning methods on large thermodynamic datasets, and outperform these, along with a leading structure-based modeling approach, when tested in the context of unbiased diverse mutations. Further, we show that the performance of the TERM-based method is directly related to the amount of available relevant structural data, automatically improving with the growing PDB. This enables a means of estimating prediction accuracy. Our results clearly demonstrate that: 1) statistics of non-contiguous structural motifs in the PDB encode fundamental sequence-structure relationships related to protein thermodynamic stability, and 2) the PDB is now large enough that such statistics are already useful in practice, with their accuracy expected to continue increasing as the database grows. These observations suggest new ways of using structural data towards addressing problems of computational structural biology.

Project description:Using a multiple alignment of 175 cytochrome P450 (CYP) family 2 sequences, 20 conserved sequence motifs (CSMs) were identified with the program PCPMer. Functional importance of the CSM in CYP2B enzymes was assessed from available data on site-directed mutants and genetic variants. These analyses suggested an important role of the CSM 8, which corresponds to(187)RFDYKD(192) in CYP2B4. Further analysis showed that residues 187, 188, 190, and 192 have a very high rank order of conservation compared with 189 and 191. Therefore, eight mutants (R187A, R187K, F188A, D189A, Y190A, K191A, D192A, and a negative control K186A) were made in an N-terminal truncated and modified form of CYP2B4 with an internal mutation, which is termed 2B4dH/H226Y. Function was examined with the substrates 7-methoxy-4-(trifluoromethyl)coumarin (7-MFC), 7-ethoxy-4-(trifluoromethyl)coumarin (7-EFC), 7-benzyloxy-4-(trifluoromethyl)coumarin (7-BFC), and testosterone and with the inhibitors 4-(4-chlorophenyl)imidazole (4-CPI) and bifonazole (BIF). Compared with the template and K186A, the mutants R187A, R187K, F188A, Y190A, and D192A showed > or =2-fold altered substrate specificity, k(cat), K(m), and/or k(cat)/K(m) for 7-MFC and 7-EFC and 3- to 6-fold decreases in differential inhibition (IC(50,BIF)/IC(50,4-CPI)). Subsequently, these mutants displayed 5-12 degrees C decreases in thermal stability (T(m)) and 2-8 degrees C decreases in catalytic tolerance to temperature (T(50)) compared with the template and K186A. Furthermore, when R187A and D192A were introduced in CYP2B1dH, the P450 expression and thermal stability were decreased. In addition, R187A showed increased activity with 7-EFC and decreased IC(50,BIF)/IC(50,4-CPI) compared with 2B1dH. Analysis of long range residue-residue interactions in the CYP2B4 crystal structures indicated strong hydrogen bonds involving Glu(149)-Asn(177)-Arg(187)-Tyr(190) and Asp(192)-Val(194), which were significantly-reduced/abolished by the Arg(187)-->Ala and Asp(192)-->Alasubstitutions, respectively.

Dataset Information

Structural and sequence motifs of protein (histone) methylation enzymes.

Publications

Structural and sequence motifs of protein (histone) methylation enzymes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets