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Functional diversity of compound libraries.

The ideal designed screening library should contain compounds with a variety of structural shapes and molecular properties, while avoiding redundancies. Other requirements involve the need to find structurally distinct leads and to recognise drug-like molecules. Functional diversity analysis is one way in which these objectives can be achieved. For this, molecular descriptions that relate to both structure and properties of molecules are needed, as well as their evaluation in terms of biological relevance.

Combinatorial Chemistry Techniques↗

The enolase superfamily: a general strategy for enzyme-catalyzed abstraction of the alpha-protons of carboxylic acids.

We have discovered a superfamily of enzymes related by their ability to catalyze the abstraction of the alpha-proton of a carboxylic acid to form an enolic intermediate. Although each reaction catalyzed by these enzymes is initiated by this common step, their overall reactions (including racemization, beta-elimination of water, beta-elimination of ammonia, and cycloisomerization) as well as the stereochemical consequences (syn vs anti) of the beta-elimination reactions are diverse. Analysis of sequence and structural similarities among these proteins suggests that all of their chemical reactions are mediated by a common active site architecture modified through evolution to allow the enolic intermediates to partition to different products in their respective active sites via different overall mechanisms. All of these enzymes retain the ability to catalyze the thermodynamically difficult step of proton abstraction. These homologous proteins, designated the "enolase superfamily", include enolase as well as more metabolically specialized enzymes: mandelate racemase, galactonate dehydratase, glucarate dehydratase, muconate-lactonizing enzymes, N-acylamino acid racemase, beta-methylaspartate ammonia-lyase, and o-succinylbenzoate synthase. Comparative analysis of structure-function relationships within the superfamily suggests that carboxyphosphonoenolpyruvate synthase, another member of the superfamily, does not catalyze the reaction proposed in the literature but catalyzes an enolase-like reaction instead. The established and deduced structure-function relationships in the superfamily allow the prediction that other apparent members of the family for which no catalytic functions have yet been assigned will also perform chemistry involving abstraction of the alpha-protons of carboxylic acids.

Amino Acid Sequence↗

Efficient generation, storage, and manipulation of fully flexible pharmacophore multiplets and their use in 3-D similarity searching.

Pharmacophore triplets and quartets have been used by many groups in recent years, primarily as a tool for molecular diversity analysis. In most cases, slow processing speeds and the very large size of the bitsets generated have forced researchers to compromise in terms of how such multiplets were stored, manipulated, and compared, e.g., by using simple unions to represent multiplets for sets of molecules. Here we report using bitmaps in place of bitsets to reduce storage demands and to improve processing speed. Here, a bitset is taken to mean a fully enumerated string of zeros and ones, from which a compressed bitmap is obtained by replacing uniform blocks ("runs") of digits in the bitset with a pair of values identifying the content and length of the block (run-length encoding compression). High-resolution multiplets involving four features are enabled by using 64 bit executables to create and manipulate bitmaps, which "connect" to the 32 bit executables used for database access and feature identification via an extensible mark-up language (XML) data stream. The encoding system used supports simple pairs, triplets, and quartets; multiplets in which a privileged substructure is used as an anchor point; and augmented multiplets in which an additional vertex is added to represent a contingent feature such as a hydrogen bond extension point linked to a complementary feature (e.g., a donor or an acceptor atom) in a base pair or triplet. It can readily be extended to larger, more complex multiplets as well. Database searching is one particular potential application for this technology. Consensus bitmaps built up from active ligands identified in preliminary screening can be used to generate hypothesis bitmaps, a process which includes allowance for differential weighting to allow greater emphasis to be placed on bits arising from multiplets expected to be particularly discriminating. Such hypothesis bitmaps are shown to be useful queries for database searching, successfully retrieving active compounds across a range of structural classes from a corporate database. The current implementation allows multiconformer bitmaps to be obtained from pregenerated conformations or by random perturbation on-the-fly. The latter application involves random sampling of the full range of conformations not precluded by steric clashes, which limits the usefulness of classical fingerprint similarity measures. A new measure of similarity, The Stochastic Cosine, is introduced here to address this need. This new similarity measure uses the average number of bits common to independently drawn conformer sets to normalize the cosine coefficient. Its use frees the user from having to ensure strict comparability of starting conformations and having to use fixed torsional increments, thereby allowing fully flexible characterization of pharmacophoric patterns.

Adrenergic beta-Antagonists↗

sc-PDB: an annotated database of druggable binding sites from the Protein Data Bank.

The sc-PDB is a collection of 6 415 three-dimensional structures of binding sites found in the Protein Data Bank (PDB). Binding sites were extracted from all high-resolution crystal structures in which a complex between a protein cavity and a small-molecular-weight ligand could be identified. Importantly, ligands are considered from a pharmacological and not a structural point of view. Therefore, solvents, detergents, and most metal ions are not stored in the sc-PDB. Ligands are classified into four main categories: nucleotides (< 4-mer), peptides (< 9-mer), cofactors, and organic compounds. The corresponding binding site is formed by all protein residues (including amino acids, cofactors, and important metal ions) with at least one atom within 6.5 angstroms of any ligand atom. The database was carefully annotated by browsing several protein databases (PDB, UniProt, and GO) and storing, for every sc-PDB entry, the following features: protein name, function, source, domain and mutations, ligand name, and structure. The repository of ligands has also been archived by diversity analysis of molecular scaffolds, and several chemoinformatics descriptors were computed to better understand the chemical space covered by stored ligands. The sc-PDB may be used for several purposes: (i) screening a collection of binding sites for predicting the most likely target(s) of any ligand, (ii) analyzing the molecular similarity between different cavities, and (iii) deriving rules that describe the relationship between ligand pharmacophoric points and active-site properties. The database is periodically updated and accessible on the web at http://bioinfo-pharma.u-strasbg.fr/scPDB/.

Algorithms↗

On the information-theoretical meaning of Hill's parametric evenness.

The degree to which abundances are divided equitably among community species or evenness is a basic property of any biological community. Several evenness indices have been proposed to summarize community structure. However, despite their potential applicability in ecological research, none seems to be generally preferred. In this paper we show that, unlike other evenness indices without any clear information-theoretical meaning, Hill's parametric diversity measure E(alpha,0) has an immediate relation to Rényi's generalized information. Therefore, E(alpha,0) might be adequate for summarizing community structure within the context of a general theoretical framework of diversity analysis based on information theory.

Ecology↗

A note on the distribution of cancer in some endogamous groups in Western India.

Endogamous groups in Western India have been known to have a wide degree of genetic diversity. Analysis of the data available on some of the endogamous groups belonging to two main communities attending the Tata Memorial Hospital, Bombay, viz. Hindus from Maharashtra, and Hindus from Gujarat show that one of the endogamous groups, the Maharashtrian Brahmin has a significantly different pattern of cancer site distribution compared to the other groups studied. Maharashtrian Brahmins have a low relative frequency of cancer of the oral cavity and high relative frequencies of cancer of the oropharynx and cancer of the oesophagus. The tobacco chewing habit pattern seems to have a bearing on the proportion of cancer of the oral cavity observed in the groups studied. However, in the case of cancer of the oropharynx and cancer of the oesophagus, factors besides smoking and chewing habits seem to be playing a role. A further study is indicated to clarify the points raised by the study.

Adolescent↗

Genetic structure of brown trout, salmo trutta l., at the southern limit of the distribution range of the anadromous form

Genetic variation at 33 protein loci was investigated in 41 wild brown trout populations from four river basins in Galicia (northwest Spain) to analyse the amount and distribution of genetic diversity in a marginal area, located in the distribution limit of the anadromous form of this species. The genetic diversity detected within populations (H between 0 and 6%) lies within the range quoted for this species in previous reports. The Mino, the most southern river basin analysed, showed a significantly lower genetic diversity and the highest genetic differentiation among the river basins studied. The hierarchical gene diversity analysis showed high population differentiation in a restricted area (GST = 27%), mostly due to differences among populations within basins (GSC = 22%). The reduction of GST observed when the isolated samples were excluded from the analysis (GST = 17%) showed the importance of habitat fragmentation on the heterogeneity detected. Gene flow among populations was comparatively evaluated by three indirect methods, which in general revealed low figures of absolute number of migrants per generation, slightly higher than 1. The gene flow among basins reflected a positive relationship with geographical distance. This trend was confirmed by the significant correlation observed between geographical and genetic distances, including all population pairs, which suggests a component of isolation by distance in brown trout genetic structure. Nevertheless, the nonsignificant intrabasin correlation demonstrates the complexity of genetic relationships among populations in this species. The model of genetic structure in brown trout is discussed in the light of the results obtained.

Journal Article↗

Ecological determinants and temporal stability of the within-river population structure in Atlantic salmon (Salmo salar L.).

A gene diversity analysis was performed using microsatellite loci in order to (i) describe the extent and pattern of population structure in Atlantic salmon (Salmo salar L.) within a river system; (ii) establish the importance of quantifying the signal:noise ratio in accurately estimating population structure; and (iii) assess the potential usefulness of two evolutionary models in explaining within-river population structure from the ecological and habitat characteristics of Atlantic salmon. We found weak, yet highly significant microscale spatial patterning after accounting for variance among temporal replicates within sites. Lower genetic distances were observed among temporal samples at four sampling sites whereas no evidence for temporal stability was observed at the other three locations. The component of genetic variance attributable to either temporal instability and/or random sampling errors was almost three times more important than the pure spatial component. This indicates that not considering signal:noise ratio may lead to an important overestimation of genetic substructuring in situations of weak genetic differentiation. This study also illustrates the usefulness of the member-vagrant hypothesis to generate a priori predictions regarding the number of subpopulations that should compose a species, given its life-history characteristics and habitat structure. On the other hand, a metapopulation model appears better suited to explain the extent of genetic divergence among subpopulations, as well as its temporal persistence, given the reality of habitat patchiness and environment instability. We thus conclude that the combined use of both models may offer a promising avenue for studies aiming to understand the dynamics of genetic structure of species found in unstable environments.

Animals↗

Population structure and genetic differentiation among the substructured Vysya caste population in comparison to the other populations of Andhra Pradesh, India.

OBJECTIVES: The present paper focuses on the study of the patterns of genetic microdifferentiation among one of the substructured caste populations of Andhra Pradesh, namely Vysya, with reference to 17 other Telugu speaking populations from the same region of India. SUBJECTS AND METHODS: A total of 302 individuals from the three Vysya subgroups (101 of Arya Vysya, 100 from Kalinga Vysya and 101 from Thrivarnika) were typed in 17 blood groups and protein polymorphisms. Nei's gene diversity analysis, as well as neighbour-joining tree and UPGMA cluster diagrams, derived from standard genetic distances, R-matrix analysis and a regression model for investigating the patterns of external gene flow and genetic drift due to isolation under the island model, were done at two levels: (1) considering only the three Vysya populations and (2) considering common loci among 20 populations of Andhra Pradesh. RESULTS: Seven of the 17 systems investigated were found to be monomorphic among all the three Vysya groups. The UPGMA tree and bidimensional scaling of the D(2) distances derived from R-matrix analysis show a very distinct cluster of Vysya populations. Application of the model of regression of average heterozygosity versus the distance of populations from the centroid shows the three Vysya populations placed as clear outliers above the theoretical regression line. CONCLUSIONS: Different approaches employed in this study give support to the hypothesis of different origin and/or demographic story for the three Vysya groups compared with other populations of Andhra Pradesh.

Adult↗

Genetic variation at three VNTR loci (D1S80, APOB, and D17S5) in two tribal populations of Andhra Pradesh, India.

This study reports the genetic variation at three variable number of tandem repeat (VNTR) loci (APOB, D17S5 and D1S80) in two tribes (Thoti and Kolam) of Andhra Pradesh, India. Kolams constitute 1% of the total scheduled tribal population of Andhra Pradesh, while Thoti is a numerically small tribe. All three genetic loci were genotyped using the polymerase chain reaction (PCR) technique and were polymorphic in both populations. At the D1S80 locus, both populations showed higher frequencies of allele *31 (9-14%) than other Indian populations. In the APOB system, Thoti showed a very high frequency of allele *37 (54%) and for D17S5 system allele *4 was the most common in Thoti (32%) and allele *2 in Kolam (28%). Both tribes differed statistically significantly from other tribal populations of the region. The level of gene differentiation was low (GST = 0.038) for Indian tribal populations. The allele frequency distribution, heterozygosity and genetic diversity analysis shows that the observed genetic variation is socially and geographically structured.

Alleles↗

Web-based cheminformatics and molecular property prediction tools supporting drug design and development at Novartis.

Web-based tools offer many advantages for processing chemical information, most notably ease of use and high interactivity. Therefore more and more pharmaceutical companies are using web technology to deliver sophisticated molecular processing tools directly to the desks of their chemists, to assist them in the process of designing and developing new drugs. In this paper, the web-based cheminformatics system developed at Novartis and currently used by more than thousand users is described. The system allows various molecular modeling and molecular processing tasks, including the calculation of molecular and substituent properties, property-based virtual screening, visualization of molecules, bioisosteric design, diversity analysis, and support of combinatorial chemistry. The methodology to calculate various molecular properties relevant to drug design is described, including the prediction of intestinal absorption, blood-brain barrier penetration, efflux, and water solubility. Information about the web technology used is also provided.

Drug Design↗

ECLIPSE: exploring the dark proteome of ESKAPE pathogens through the sequence similarity network of the Protein Universe Atlas.

MOTIVATION: The accelerating crisis of antimicrobial resistance among the critical so-called ESKAPE pathogens demands the urgent identification of novel molecular targets. However, a substantial fraction of ESKAPE proteomes remains functionally uncharacterized, with many genes annotated as encoding hypothetical proteins. These protein sequences often lack significant similarity to known protein families when conventional homology-based annotation methods are used and thus remain "dark". This limits our ability to explore their roles in pathogenicity, and it is thus crucial to bridge this substantial gap in pathogen biology by developing new strategies to illuminate these "dark" regions of the ESKAPE pan-proteome. RESULTS: We introduce ECLIPSE (ESKAPE Connectome Linkage and Inference for Proteome Sequence Exploration), a network-based computational framework that systematically identifies and prioritizes functionally dark protein families in ESKAPE pan-proteomes. ECLIPSE embeds target ESKAPE pathogen proteomes within the global sequence similarity network of the Protein Universe Atlas. It detects connected components composed entirely of unannotated proteins, called the "dark proteome." As a case study, we applied ECLIPSE to a pan-proteome of 3&#x2006;460&#x2006;657 protein sequences from 635 strains of Pseudomonas aeruginosa (PA). ECLIPSE identified 120&#x2006;985 proteins (4%) residing in completely dark connected components. Furthermore, we have performed a taxonomic diversity analysis using normalized Shannon indices to characterize each dark component by its enrichment in ESKAPE pathogens. The analysis utilized the evenness (E) value (see Methods 2.1), which distinguishes Pseudomonas-specific (target-specific) from ESKAPE-enriched dark components. We then developed the Dark Proteome Prioritization Score (DPPS), a composite multidimensional scoring framework (see Methods 2.5). It ranks these dark components by biological relevance across four orthogonal axes: (i) functional darkness, (ii) P. aeruginosa proportion in the Atlas, (iii) AMR-clade taxonomic restriction, and (iv) conservation across the 635 P. aeruginosa strains. This framework outputs a robust four-tier scoring system; the prioritized Tier I components were validated by weight sensitivity analysis and remained stable across 500 Monte Carlo weight perturbations. Structural characterization of one of the top-ranked ESKAPE-enriched dark components revealed that it belongs to the beta-barrel fold DUF1302 (PF06980) family, for which no experimentally solved three-dimensional structure exists in the PDB. The genomic context analysis indicates that it is co-localized with a LuxR-type transcriptional regulator. Collectively, ECLIPSE identifies evolutionarily conserved, structurally defined, and functionally dark proteins enriched across ESKAPE pathogens; these dark proteins can further be utilized as alternative antimicrobial targets for experimental characterization. AVAILABILITY AND IMPLEMENTATION: The source code and dataset are available for free at: Github: https://github.com/surabhilata/ECLIPSE.git, Zenodo: DOI: 10.5281/zenodo.21064323.

Proteome↗

Analysis of DNA diversity by spatial autocorrelation.

Two statistics are proposed for summarizing spatial patterns of DNA diversity. These autocorrelation indices for DNA analysis, or AIDAs, can be applied to RFLP and sequence data; the resulting set of autocorrelation coefficients, or correlogram, measures whether, and to what extent, individual DNA sequences or haplotypes resemble the haplotypes sampled at arbitrarily chosen spatial distances. Analyses of computer-generated sets of data, and of RFLP data from two natural populations, show that AIDAs allow one to objectively and simply identify basic patterns in the spatial distribution of haplotypes. These statistics, therefore, seem to be a useful tool both to explore the genetic structure of a population and to suggest hypotheses on the evolutionary processes that shaped the observed patterns.

DNA↗

Base composition of Coffea AFLP sequences and their conservation within the genus.

Amplified fragment length polymorphism (AFLP) is often used for genetic mapping and diversity analysis, but very little information is currently available on their sequence characteristics. Species-specific sequences were analyzed from a single Coffea genome (Coffea pseudozanguebariae) associated with clustered or nonclustered AFLP loci of known genetic position. Compared with the expressed sequence tag (EST) sequence composition, their AT content exhibited a bimodal distribution with AT-poor sequences corresponding mainly to putative coding sequences. AT-rich sequences, apart from the EST distribution, were usually clustered on the genetic map and might correspond to noncoding sequences. Conversion of these AFLP markers into sequence-characterized amplified region (SCAR) anchor markers allowed us to assess sequence conservation within Coffea species with respect to species relatedness.

Base Composition↗

Genetic diversity and HIV-1 incidence estimation among cocaine users in São Paulo, Brazil.

We describe HIV-1 incidence and the prevalence of genetic subtypes among cocaine users in São Paulo, Brazil. A cross-sectional HIV-1 survey was carried out among 839 current cocaine users attending seven drug treatment units in the São Paulo metropolitan area from 1997 to 1998. HIV-1 subtyping was performed among 41 positive individuals using the heteroduplex mobility assay and DNA sequencing. Participants were mainly male (95.7%) with a history of previous imprisonment (54%), and the mean age was 26.9 years (SD = 7.2). The majority (64.4%) were current crack cocaine users, and 82.1% of the total participants were noninjectors. HIV-1 seroprevalence was 4.9% (95% confidence interval [CI], 3.6%-6.6%), and the incidence (estimated by the sensitive/less-sensitive immunoassay testing strategy) was 0.71% per year (95% CI, 0.07-3.03). HIV-1 subtype B was predominant (90.3%), followed by subtype F. There was no statistically significant association between HIV-1 subtype and specific route of drug administration. Our incidence data show evidence of recent HIV-1 transmission among cocaine users, mainly among noninjectors. Detection of recently infected HIV-1 cases linked to genetic diversity analysis may provide baseline information for public health interventions in this sentinel group.

Adult↗

Evidence of rotavirus intragenic recombination between two sublineages of the same genotype.

Rotavirus G4 prevalence increased during the past decade, with one of the highest prevalences reported during rotavirus surveillance in Argentina. Intragenotype diversity analysis has led to its subdivision into lineages (I and II) and sublineages (Ia-Id). On analysis of Argentine and G4 VP7 sequences from other locations, one Argentine strain (ArgRes1723) appeared to be an intermediate between G4 sublineages Ib and Ic. Similarity and bootscanning analyses and Sawyer's test were carried out to demonstrate the recombinant nature of this strain. It was concluded that intragenic recombination occurred between sequences of sublineages Ib and Ic, with a crossover point between nucleotide positions 336 and 387. This study constitutes the first report of a mechanism of evolution in rotaviruses that is currently considered unusual - a recombination event between two strains of the same rotavirus genotype. These results will help increase current knowledge about rotavirus evolution and divergence, improving our understanding of the adaptation mechanisms used by these viruses.

Genotype↗

Stereospecific effect of hexachlorocyclohexane on activity and structure of soil methanotrophic communities.

In the past decades, large amounts of non-insecticidal hexachlorocyclohexane (HCH) isomers (alpha-, beta-, delta- and epsilon-HCH) have been dumped as side-products of the insecticide gamma-HCH (lindane). This study investigates the effect of HCH isomers on methane oxidation, an important soil function performed by methanotrophic bacteria. Both activity and structure of the methanotrophic community were assessed, using methane oxidation assays and PCR-DGGE (polymerase chain reaction-denaturing gradient gel electrophoresis) respectively. Methane oxidation assays with historically polluted soils revealed that on the long-term methane oxidation was inhibited by HCH pollution. PCR-DGGE and diversity analysis based on Lorenz curves showed that the type I methanotrophic community was less evenly distributed in historically HCH-polluted soils compared with less polluted reference soils. Short-term experiments with methane-enriched consortia further demonstrated that only gamma- and delta-isomers inhibited methane oxidation. Type I methanotrophs of methane-enriched microbial consortia that received gamma- or delta-HCH evolved towards higher species richness. Apparently, for historically HCH-polluted soils, a narrow community remained after long-term exposure while in case of short-term exposures, methane-enriched consortia were converted into less active, but richer communities when they were stressed by the presence of gamma- or delta-HCH. This work demonstrates the importance of incorporating all isomers and possible other side-products in risk assessment studies of persistent organic pollutants and the use of structural analysis of type I methanotrophic communities as evaluating tool.

DNA, Bacterial↗

Influence of sulfide and temperature on species composition and community structure of hot spring microbial mats.

In solfataric fields in southwestern Iceland, neutral and sulfide-rich hot springs are characterized by thick bacterial mats at 60 to 80 degrees C that are white or yellow from precipitated sulfur (sulfur mats). In low-sulfide hot springs in the same area, grey or pink streamers are formed at 80 to 90 degrees C, and a Chloroflexus mat is formed at 65 to 70 degrees C. We have studied the microbial diversity of one sulfur mat (high-sulfide) hot spring and one Chloroflexus mat (low-sulfide) hot spring by cloning and sequencing of small-subunit rRNA genes obtained by PCR amplification from mat DNA. Using 98% sequence identity as a cutoff value, a total of 14 bacterial operational taxonomic units (OTUs) and 5 archaeal OTUs were detected in the sulfur mat; 18 bacterial OTUs were detected in the Chloroflexus mat. Although representatives of novel divisions were found, the majority of the sequences were >95% related to currently known sequences. The molecular diversity analysis showed that Chloroflexus was the dominant mat organism in the low-sulfide spring (1 mg liter(-1)) below 70 degrees C, whereas Aquificales were dominant in the high-sulfide spring (12 mg liter(-1)) at the same temperature. Comparison of the present data to published data indicated that there is a relationship between mat type and composition of Aquificales on the one hand and temperature and sulfide concentration on the other hand.

Archaea↗