ABSTRACT
The NIAID-funded Biodefense Proteomics Resource Center (RC) provides storage, dissemination, visualization and analysis capabilities for the experimental data deposited by seven Proteomics Research Centers (PRCs). The data and its publication is to support researchers working to discover candidates for the next generation of vaccines, therapeutics and diagnostics against NIAID's Category A, B and C priority pathogens. The data includes transcriptional profiles, protein profiles, protein structural data and host-pathogen protein interactions, in the context of the pathogen life cycle in vivo and in vitro. The database has stored and supported host or pathogen data derived from Bacillus, Brucella, Cryptosporidium, Salmonella, SARS, Toxoplasma, Vibrio and Yersinia, human tissue libraries, and mouse macrophages. These publicly available data cover diverse data types such as mass spectrometry, yeast two-hybrid (Y2H), gene expression profiles, X-ray and NMR determined protein structures and protein expression clones. The growing database covers over 23 000 unique genes/proteins from different experiments and organisms. All of the genes/proteins are annotated and integrated across experiments using UniProt Knowledgebase (UniProtKB) accession numbers. The web-interface for the database enables searching, querying and downloading at the level of experiment, group and individual gene(s)/protein(s) via UniProtKB accession numbers or protein function keywords. The system is accessible at http://www.proteomicsresource.org/.
Subject(s)
Bioterrorism , Databases, Protein , Host-Pathogen Interactions , Proteomics , Animals , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , Computer Graphics , Gene Expression Profiling , Humans , Infections/diagnosis , Infections/therapy , Internet , Mice , Protozoan Proteins/chemistry , Protozoan Proteins/genetics , Protozoan Proteins/metabolism , Software , User-Computer Interface , Viral Proteins/chemistry , Viral Proteins/genetics , Viral Proteins/metabolismABSTRACT
Mutational experiments show how changes in the hydrophobic cores of proteins affect their stabilities. Here, we estimate these effects computationally, using four-body likelihood potentials obtained by simplicial neighborhood analysis of protein packing (SNAPP). In this procedure, the volume of a known protein structure is tiled with tetrahedra having the center of mass of one amino acid side-chain at each vertex. Log-likelihoods are computed for the 8855 possible tetrahedra with equivalent compositions from structural databases and amino acid frequencies. The sum of these four-body potentials for tetrahedra present in a given protein yields the SNAPP score. Mutations change this sum by changing the compositions of tetrahedra containing the mutated residue and their related potentials. Linear correlation coefficients between experimental mutational stability changes, Delta(DeltaG(unfold)), and those based on SNAPP scoring range from 0.70 to 0.94 for hydrophobic core mutations in five different proteins. Accurate predictions for the effects of hydrophobic core mutations can therefore be obtained by virtual mutagenesis, based on changes to the total SNAPP likelihood potential. Significantly, slopes of the relation between Delta(DeltaG(unfold)) and DeltaSNAPP for different proteins are statistically distinct, and we show that these protein-specific effects can be estimated using the average SNAPP score per residue, which is readily derived from the analysis itself. This result enhances the predictive value of statistical potentials and supports previous suggestions that "comparable" mutations in different proteins may lead to different Delta(DeltaG(unfold)) values because of differences in their flexibility and/or conformational entropy.
Subject(s)
Mutation , Proteins/chemistry , Amino Acid Substitution , Bacterial Proteins , Bacteriophage T4/enzymology , Calbindins , Computational Biology/methods , Computer Simulation , Databases as Topic , Enzyme Stability , Likelihood Functions , Micrococcal Nuclease/chemistry , Micrococcal Nuclease/metabolism , Models, Molecular , Muramidase/chemistry , Muramidase/metabolism , Protein Structure, Tertiary , Proteins/metabolism , Ribonucleases/chemistry , Ribonucleases/metabolism , S100 Calcium Binding Protein G/chemistry , S100 Calcium Binding Protein G/metabolism , ThermodynamicsABSTRACT
SUMMARY: SChiSM is a program for creating World Wide Web (WWW) pages that include embedded interactive molecular models using the browser plug-in, CHIME:, for visualization. The program works with Netscape 4.x and Internet Explorer 5 browsers to facilitate Chime/Rasmol scripting control of a molecular display.
Subject(s)
Computer Graphics , Internet , Software , Models, MolecularABSTRACT
We have cloned a cDNA and gene from the tobacco hornworm, Manduca sexta, which is related to the vertebrate cellular retinoic acid binding proteins (CRABPs). CRABPs are members of the superfamily of lipid binding proteins (LBPs) and are thought to mediate the effects of retinoic acid (RA) on morphogenesis, differentiation, and homeostasis. This discovery of a Manduca sexta CRABP (msCRABP) demonstrates the presence of a CRABP in invertebrates. Compared with bovine/murine CRABP I, the deduced amino acid sequence of msCRABP is 71% homologous overall and 88% homologous for the ligand binding pocket. The genomic organization of msCRABP is conserved with other CRABP family members and the larger LBP superfamily. Importantly, the promoter region contains a motif that resembles an RA response element characteristic of the promoter region of most CRABPs analyzed. Three-dimensional molecular modeling based on postulated structural homology with bovine/murine CRABP I shows msCRABP has a ligand binding pocket that can accommodate RA. The existence of an invertebrate CRABP has significant evolutionary implications, suggesting CRABPs appeared during the evolution of the LBP superfamily well before vertebrate/invertebrate divergence, instead of much later in evolution in selected vertebrates.
