Distributions of exons and introns in the human genome

The human genome is revisited using exon and intron distribution profiles. The 26,564 annotated genes in the human genome (build October, 2003) contain 233,785 exons and 207,344 introns. On average, there are 8.8 exons and 7.8 introns per gene. About 80% of the exons on each chromosome are < 200 bp in length. < 0.01% of the introns are < 20 bp in length and < 10% of introns are more than 11,000 bp in length. These results suggest constraints on the splicing machinery to splice out very long or very short introns and provide insight to optimal intron length selection. Interestingly, the total length in introns and intergenic DNA on each chromosome is significantly correlated to the determined chromosome size with a coefficient of correlation r = 0.95 and r = 0.97, respectively. These results suggest their implication in genome design.     

IE-Kb: intron exon knowledge base

SUMMARY: IE-Kb (Intron Exon-Knowledge base) illustrates the intron-exon dynamics in eukaryotic genes. We have developed three different knowledge sets, namely 'Non-redundant ExInt', 'Non-redundant Pfam-ExInt complement' and 'Non-redundant GenBank eukaryotic subdivisional sets' to understand this phenomenon. Statistical analysis is performed on each knowledge set and the results are made available online. The entries in knowledge sets are ranked based on their intron length, exon length and protein length with relational hyper-links to the corresponding intron phase, intron position, intron sequence, gene definition and parent GenBank entry.     

Protein subunit interfaces: heterodimers versus homodimers

Protein dimers are either homodimers (complexation of identical monomers) or heterodimers (complexation of non-identical monomers). These dimers are common in catalysis and regulation. However, the molecular principles of protein dimer interactions are difficult to understand mainly due to the geometrical and chemical characteristics of proteins. Nonetheless, the principles of protein dimer interactions are often studied using a dataset of 3D structural complexes determined by X-ray crystallography. A number of physical and chemical properties govern protein dimer interactions. Yet, a handful of such properties are known to dominate protein dimer interfaces. Here, we discuss the differences between homodimer and heterodimer interfaces using a selected set of interface properties.     

Alternatively spliced human genes by exon skipping--a database (ASHESdb)

Alternative splicing of mRNA allows many gene products with different functions to be produced from a single coding sequence. Exon skipping is the most commonly known alternative splicing mechanism. A comprehensive database of alternative splicing by exon skipping is made available for the human genome data. 1,229 human genes are identified to exhibit alternative splicing by exon skipping. Availability: http://sege.ntu.edu.sg/wester/ashes/.     

Types of interfaces for homodimer folding and binding

Homodimers have a role in catalysis and regulation through the formation of stable interfaces. These interfaces are formed through different folding mechanisms such as 2-state without stable intermediate (2S), 3-state with monomer intermediate (3SMI) and 3-state with dimer intermediate (3SDI). Therefore, it is of interest to understand folding mechanism using structural features at the interfaces. Several studies have documented the significance of structural features for the understanding of homodimer folding mechanisms. However, the known features provide limited information for understanding homodimer folding mechanisms. Hence, we created an extended dataset of 47 homodimers (twenty eight 2S, twelve 3SMI and seven 3SDI) to examine the types of interfaces in protein homodimers. 2S are usually small sized, 3SMI are often medium sized and 3SDI often exist as large sized proteins. The ratio of interface to total (I/T) residue is large in 2S and small in 3SMI and 3SDI. Hence, we used I/T measure to group 2S, 3SMI and 3SDI into categories with large I/T (≫ 50%), moderate I/T (50 - 25%) and small I/T (≪ 25%) interfaces. The grouping is further sub-grouped based on the type of physical interaction visualized at the interface using representations in two dimensions (2D). 2D representation of the interface shows eight different forms of interactions in these homodimers. 2S homodimers frequently have large I/T and thus, utilize the entire protein structure in the formation of the interface where the individual subunits are heavily inter communicated with each other. This is not true in the case of 3SMI and 3SDI. 3SMI subunits usually interact with each other at the interface with a gentle touch-like contact and hence, they have low I/T ratio. 3SDI are often quite different in interaction compared to 3SMI and their subunits do deeply interact at the interface with only one part of the surface and hence also having low I/T ratio.     

Bioinformatics models in drug abuse and Neuro-AIDS: Using and developing databases

The magnitude of the problems of drug abuse and Neuro-AIDS warrants the development of novel approaches for testing hypotheses in diagnosis and treatment ranging from cell culture models to developing databases. In this study, cultured neurons were treated with/without HIV-TAT, ENV, or cocaine in a 2x2x2 expression study design. RNA was purified, labeled, and expression data were produced and analyzed using ANOVA. Thus, we identified 35 genes that were significantly expressed across treatment conditions. A diagram is presented showing examples of molecular relationships involving a significantly expressed gene in the current study (SOX2). Also, we use this information to discuss examples of gene expression interactions as a means to portray significance and complexity of gene expression studies in Drug Abuse and Neuro-AIDS. Furthermore, we discuss here that critical interactions remain undetected, which may be unravelled by developing robust database systems containing large datasets and gleaned information from collaborating scientists . Hence, we are developing a public domain database we named The Agora database , that will served as a shared infrastructure to query, deposit, and review information related to drug abuse and dementias including Neuro-AIDS. A workflow of this database is also outlined in this paper.     

A HLA-DRB supertype chart with potential overlapping peptide binding function

HLA-DRB alleles are class II alleles that are associated with CD4+ T-cell immune response. DRB alleles are polymorphic and currently there are about 622 named in the IMGT/HLA sequence database. Each allele binds short peptides with high sensitivity and specificity. However, it has been suggested that majority of HLA alleles can be covered within few HLA supertypes, where different members of a supertype bind similar peptides showing distinct repertoires. Definition of DRB supertypes using binding data is limited to few (about 29) known alleles (< 5% of all known DRB alleles). Hence, we describe a strategy using structurally defined virtual pockets to group all known DRB alleles with regard to their overlapping peptide binding specificity.     

Insights from the structural analysis of protein heterodimer interfaces

Protein heterodimer complexes are often involved in catalysis, regulation, assembly, immunity and inhibition. This involves the formation of stable interfaces between the interacting partners. Hence, it is of interest to describe heterodimer interfaces using known structural complexes. We use a non-redundant dataset of 192 heterodimer complex structures from the protein databank (PDB) to identify interface residues and describe their interfaces using amino-acids residue property preference. Analysis of the dataset shows that the heterodimer interfaces are often abundant in polar residues. The analysis also shows the presence of two classes of interfaces in heterodimer complexes. The first class of interfaces (class A) with more polar residues than core but less than surface is known. These interfaces are more hydrophobic than surfaces, where protein-protein binding is largely hydrophobic. The second class of interfaces (class B) with more polar residues than core and surface is shown. These interfaces are more polar than surfaces, where binding is mainly polar. Thus, these findings provide insights to the understanding of protein-protein interactions.