Sándor Pongor

The efficiency of multi-target drugs: the network approach might help drug design

Despite considerable progress in genome- and proteome-based high-throughput screening methods and rational drug design, the number of successful single-target drugs did not increase appreciably during the past decade. Network models suggest that partial inhibition of a surprisingly small number of targets can be more efficient than the complete inhibition of a single target. This and the success stories of multi-target drugs and combinatorial therapies led us to suggest that systematic drug-design strategies should be directed against multiple targets. We propose that the final effect of partial, but multiple, drug actions might often surpass that of complete drug action at a single target. The future success of this novel drug-design paradigm will depend not only on a new generation of computer models to identify the correct multiple targets and their multi-fitting, low-affinity drug candidates but also on more-efficient in vivo testing.

Sequence-dependent bending propensity of DNA as revealed by DNase I: parameters for trinucleotides.

Structural parameters characterizing the bending propensity of trinucleotides were deduced from DNase I digestion data using simple probabilistic models. In contrast to dinucleotide‐based models of DNA bending and/or bendability, the trinucleotide parameters are in good agreement with X‐ray crystallographic data on bent DNA. This improvement may be due to the fact that the trinucleotide model incorporates more sequence context information than do dinucleotide‐based descriptions.

The quest for orthologs: finding the corresponding gene across genomes

Orthology is a key evolutionary concept in many areas of genomic research. It provides a framework for subjects as diverse as the evolution of genomes, gene functions, cellular networks and functional genome annotation. Although orthologous proteins usually perform equivalent functions in different species, establishing true orthologous relationships requires a phylogenetic approach, which combines both trees and graphs (networks) using reliable species phylogeny and available genomic data from more than two species, and an insight into the processes of molecular evolution. Here, we evaluate the available bioinformatics tools and provide a set of guidelines to aid researchers in choosing the most appropriate tool for any situation.

Cell cycle phase specificity of putative cyclin-dependent kinase variants in synchronized alfalfa cells.

The eukaryotic cell division cycle is coordinated by cyclin-dependent kinases (CDKs), represented by a single major serine/threonine kinase in yeasts (Cdc2/CDC28) and a family of kinases (CDK1 to CDK8) in human cells. Previously, two cdc2 homologs, cdc2MsA and cdc2MsB, have been identified in alfalfa (Medicago sativa). By isolating cDNAs using a cdc2MsA probe, we demonstrate here that at least four additional cdc2 homologous genes are expressed in the tetraploid alfalfa. Proteins encoded by the new cdc2MsC to cdc2MsF cDNAs share the characteristic functional domains of CDKs with the conserved and plant-specific sequence elements. Transcripts from cdc2MsA, cdc2MsB, cdc2MsC, and cdc2MsE genes are synthesized throughout the cell cycle, whereas the amounts of cdc2MsD and cdc2MsF mRNAs peak during G2-to-M phases. The translation of Cdc2MsA/B, Cdc2MsD, and Cdc2MsF proteins follows the pattern of transcript accumulation. The multiplicity of kinase complexes with cell cycle phase-dependent activities was revealed by in vitro phosphorylation experiments. Proteins bound to p13suc1-Sepharose or immunoprecipitated with Cdc2MsA/B antibodies from cells at G1-to-S and G2-to-M phase boundaries showed elevated kinase activities. the Cdc2MsF antibodies separated a G2-to-M phase-related kinase complex. Detection of histone H1 phosphorylation activities in fractions immunoprecipitated with antimitotic cyclin (CyclinMs2) antibodies from G2-to-M phase cells indicates the complex formation between this cyclin and a kinase partner in alfalfa. The observed fluctuation of transcript levels, amounts, and activities of kinases in different cell cycle phases reflects a multilevel regulatory system during cell cycle progression in plants.

Plant Growth-Promoting Pseudomonas putida WCS358 Produces and Secretes Four Cyclic Dipeptides: Cross-Talk with Quorum Sensing Bacterial Sensors

The most universal cell-cell signaling mechanism in Gram-negative bacteria occurs via the production and response to a class of small diffusible molecules called N-acylhomoserine lactones (AHLs). This communication is called quorum sensing and is responsible for the regulation of several physiological processes and many virulence factors in pathogenic bacteria. The detection of these molecules has been rendered possible by the utilization of genetically engineered bacterial biosensors which respond to the presence of exogenously supplied AHLs. In this study, using diverse bacterial biosensors, several biosensor activating fractions were purified by organic extraction, HPLC and TLC of cell-free culture supernatants of plant growth-promoting Pseudomonas putida WCS358. Surprisingly, it was observed that the most abundant compounds in these fractions were cyclic dipeptides (diketopiperazines, DKPs), a rather novel finding in Gram-negative bacteria. The purification, characterization, chemical synthesis of four DKPs are reported and their possible role in cell-cell signaling is discussed.

Nuclear architecture dictates HIV-1 integration site selection

Long-standing evidence indicates that human immunodeficiency virus type 1 (HIV-1) preferentially integrates into a subset of transcriptionally active genes of the host cell genome. However, the reason why the virus selects only certain genes among all transcriptionally active regions in a target cell remains largely unknown. Here we show that HIV-1 integration occurs in the outer shell of the nucleus in close correspondence with the nuclear pore. This region contains a series of cellular genes, which are preferentially targeted by the virus, and characterized by the presence of active transcription chromatin marks before viral infection. In contrast, the virus strongly disfavours the heterochromatic regions in the nuclear lamin-associated domains and other transcriptionally active regions located centrally in the nucleus. Functional viral integrase and the presence of the cellular Nup153 and LEDGF/p75 integration cofactors are indispensable for the peripheral integration of the virus. Once integrated at the nuclear pore, the HIV-1 DNA makes contact with various nucleoporins; this association takes part in the transcriptional regulation of the viral genome. These results indicate that nuclear topography is an essential determinant of the HIV-1 life cycle.

DNA analysis servers: plot.it, bend.it, model.it and IS

The WWW servers at http://www.icgeb.trieste.it/dna/ are dedicated to the analysis of user-submitted DNA sequences; plot.it creates parametric plots of 45 physicochemical, as well as statistical, parameters; bend.it calculates DNA curvature according to various methods. Both programs provide 1D as well as 2D plots that allow localisation of peculiar segments within the query. The server model.it creates 3D models of canonical or bent DNA starting from sequence data and presents the results in the form of a standard PDB file, directly viewable on the users PC using any molecule manipulation program. The recently established introns server allows statistical evaluation of introns in various taxonomic groups and the comparison of taxonomic groups in terms of length, base composition, intron type etc. The options include the analysis of splice sites and a probability test for exon-shuffling.

Rod models of DNA: sequence-dependent anisotropic elastic modelling of local bending phenomena

Local bending phenomena can be predicted by elastic models that incorporate sequence-dependent anisotropic-bendability (SDAB). SDAB models consider DNA to be an initially straight, segmented, elastic rod, in which the flexibility of each segment is greater towards the major groove than it is in other directions. While local bending can be predicted by static-geometry models as well, SDAB models, in addition, qualitatively explain such phenomena as the affinity of protein binding and kinking. A set of prediction tools is available at http:/(/)www.icgeb.trieste.it/dna.

Correlation of intrinsic DNA curvature with DNA property periodicity

Twelve di‐ and trinucleotide parameter sets representing various structural, thermodynamic or bendability‐related properties of DNA were tested in the prediction of DNA curvature applying Fourier analysis on curved and straight, A/T‐type or G/C‐type DNA sequence motifs. The best predictions were obtained with a new consensus bendability scale created by combining a nucleosome‐based and a deoxyribonuclease I‐based parameter set. Geometry calculations on the same sequences showed that the helical parameters derived from NMR structures can correctly predict curvature, as distinct from the parameters derived from X‐ray crystallographic analysis.

The SBASE Protein Domain Library, Release 4.0: A Collection of Annotated Protein Sequence Segments

SBASE 4.0 is the fourth release of SBASE, a collection of annotated protein domain sequences that represent various structural, functional, ligand binding and topogenic segments of proteins. SBASE was designed to facilitate the detection of functional homologies and can be searched with standard database search tools, such as FASTA and BLAST3. The present release contains 61 137 entries provided with standardized names and cross-referenced to all major protein, nucleic acid and sequence pattern collections. The entries are clustered into 13 155 groups in order to facilitate detection of distant similarities. SBASE 4.0 is freely available by anonymous ftp file transfer from ftp.icgeb.trieste.it. Individual records can be retrieved with the gopher server at icgeb.trieste.it and with a World Wide Web server at http://www.icgeb.trieste.it. Automated searching of SBASE with BLAST can be carried out with the electronic mail server sbase@icgeb.trieste.it, which now also provides a graphic representation of the homologies. A related mail server, domain@hubi.abc.hu, assigns SBASE domain homologies on the basis of SWISS-PROT searches.