Biomedical subjects

Samuel Selvaraj

Publications and source records attributed to Samuel Selvaraj.

6 recordsLinked to original sources

PubMed2005

Role of inter and intramolecular interactions in protein-DNA recognition.

Protein-DNA recognition plays an essential role in the regulation of gene expression. Regulatory proteins are known to recognize specific DNA sequences directly through atomic contacts between protein and DNA, and/or indirectly through the conformational properties of the DNA. In this work, we have analyzed the specificity of intermolecular interactions by statistical analysis of base-amino acid interactions within protein-DNA complexes as well as the computer simulations of base-amino acid interactions. The specificity of the intramolecular interactions was studied by statistical analysis of the sequence-dependent DNA conformational parameters and the elastic properties of DNA. Systematic comparison of these specificities in a large number of protein-DNA complexes revealed that both intermolecular and intramolecular interactions contribute to the specificity of protein-DNA recognition, and their relative contributions vary depending upon the protein-DNA complex. We demonstrated that combination of the intermolecular and intramolecular energies leads to enhanced specificity and the combined energy could explain experimental data on binding affinity changes caused by base mutations. These results provided new insight into the relationship between specificity and structure in the process of protein-DNA recognition, which would lead to prediction of specific protein-DNA binding sites.

Base Sequence↗

PubMed2005

Integration of bioinformatics and computational biology to understand protein-DNA recognition mechanism.

Transcription factors play essential role in the gene regulation in higher organisms, binding to multiple target sequences and regulating multiple genes in a complex manner. In order to decipher the mechanism of gene regulation, it is important to understand the molecular mechanism of protein-DNA recognition. Here we describe a strategy to approach this problem, using various methods in bioinformatics and computational biology. We have used a knowledge-based approach, utilizing rapidly increasing structural data of protein-DNA complexes, to derive empirical potential functions for the specific interactions between bases and amino acids as well as for DNA conformation, from the statistical analyses on the structural data. Then these statistical potentials are used to quantify the specificity of protein-DNA recognition. The quantification of specificity has enabled us to establish the structure-function analysis of transcription factors, such as the effects of binding cooperativity on target recognition. The method is also applied to real genome sequences, predicting potential target sites. We are also using computer simulations of protein-DNA interactions and DNA conformation in order to complement the empirical method. The integration of these approaches together will provide deeper insight into the mechanism of protein-DNA recognition and improve the target prediction of transcription factors.

Binding Sites↗

PubMed2004

Locating the stabilizing residues in (alpha/beta)8 barrel proteins based on hydrophobicity, long-range interactions, and sequence conservation.

In nature, 1 out of every 10 proteins has an (alpha/beta)(8) (TIM)-barrel fold, and in most cases, pairwise comparisons show no sequence similarity between them. Hence, delineating the key residues that induce very different sequences to share a common fold is important for understanding the folding and stability of TIM-barrel domains. In this work, we propose a new consensus approach for locating these stabilizing residues based on long-range interactions, hydrophobicity, and conservation of amino acid residues. We have identified 957 stabilizing residues in 63 proteins from a nonredundant set of 71 TIM-barrel domains. Most of these residues are located in the 8-stranded beta-sheet, with nearly one half of them oriented toward the interior of the barrel and the other half oriented toward the surrounding alpha-helices. Several stabilizing residues are found in the N- and C-terminal loops, whereas very few appear in the alpha-helices that surround the internal beta-sheet. Further, these 957 residues are placed in 434 stabilizing segments of various sizes, and each domain contains 1-10 of these segments. We found that 8 segments per domain is the most abundant one, and two thirds of the proteins have 7-9 stabilizing segments. Finally, we verified the identified residues with experimental temperature factors and found that these residues are among the ones with less mobility in the considered proteins. We suggest that our new protocol serves as a powerful tool to identify the stabilizing residues in TIM-barrel domains, which can be used as potential candidates for studying protein folding and stability by means of protein engineering experiments.

Conserved Sequence↗

PubMed2004

Intermolecular and intramolecular readout mechanisms in protein-DNA recognition.

Protein-DNA recognition plays an essential role in the regulation of gene expression. Regulatory proteins are known to recognize specific DNA sequences directly through atomic contacts (intermolecular readout) and/or indirectly through the conformational properties of the DNA (intramolecular readout). However, little is known about the respective contributions made by these so-called direct and indirect readout mechanisms. We addressed this question by making use of information extracted from a structural database containing many protein-DNA complexes. We quantified the specificity of intermolecular (direct) readout by statistical analysis of base-amino acid interactions within protein-DNA complexes. The specificity of the intramolecular (indirect) readout due to DNA was quantified by statistical analysis of the sequence-dependent DNA conformation. Systematic comparison of these specificities in a large number of protein-DNA complexes revealed that both intermolecular and intramolecular readouts contribute to the specificity of protein-DNA recognition, and that their relative contributions vary depending upon the protein-DNA complexes. We demonstrated that combination of the intermolecular and intramolecular energies derived from the statistical analyses lead to enhanced specificity, and that the combined energy could explain experimental data on binding affinity changes caused by base mutations. These results provided new insight into the relationship between specificity and structure in the process of protein-DNA recognition, which would lead to prediction of specific protein-DNA binding sites.

Bacterial Proteins↗

PubMed2002

Specificity of protein-DNA recognition revealed by structure-based potentials: symmetric/asymmetric and cognate/non-cognate binding.

Asymmetric binding of protein homodimers to DNA, which has been observed in a number of protein-DNA complexes, leads to subtle structural differences between the two subunits. Such structural differences are frequently observed when the subunits form cognate and non-cognate protein-DNA complexes, respectively. Analysis of these structural effects on binding specificity should provide insight into the mechanism of protein-DNA recognition. We previously derived empirical potential functions for specific nucleotide base-amino acid interactions from statistical analyses of the structures of many protein-DNA complexes and used a combinatorial threading procedure to evaluate the fitness of the DNA sequences involved. We then introduced Z-scores to measure the specificity with which proteins bind to DNA within complexes, as compared to random DNA sequences. Here, we examined in detail the structural effects of asymmetric and cognate/non-cognate binding on specificity. Marked differences in the specificity of DNA binding were observed for the two subunits of lambda repressor, the glucocorticoid receptor, and for transcription factors containing a Zn(2)Cys(6) binuclear cluster domain, which are known to bind asymmetrically to DNA. Moreover, the differences in the specificity with which BamH1 and EcoRV endonucleases bind to their cognate and non-cognate DNA sequences were clearly detected using this approach; indeed, analysis of EcoRV binding enabled us to show the cooperative effect of sequence and structure on binding specificity. The present results demonstrate the utility of this approach when examining the structure-specificity relationship in protein-DNA recognition, as subtle structural differences in symmetric/asymmetric and cognate/non-cognate binding were clearly shown to cause marked differences in specificity. This method can also be used as a tool for checking new structures of protein-DNA complexes for their specificity.

DNA↗

PubMed2002

ProTherm, Thermodynamic Database for Proteins and Mutants: developments in version 3.0.

The current release of ProTherm, Thermodynamic Database for Proteins and Mutants, contains more than 10 000 numerical data (300% of the first version) of several thermodynamic parameters, experimental methods and conditions, reversibility of folding, details about the surrounding residues in space for all mutants, structural, functional and literature information. In the current version, we have added information about the source of each protein, identification codes for SWISS-PROT and Protein Information Resource and unique Protein Data Bank (PDB) code for proteins with relevant source. We have also provided additional options to search for data based on PDB code, number of states and reversibility. ProTherm is cross-linked with other sequence, structural, functional and literature databases, and the mutant sites and surrounding residues are automatically mapped on the structure. The ProTherm database is freely available at http://www.rtc.riken.go.jp/jouhou/protherm/protherm.html.

Animals↗