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ISSN 1386-6338 (P)
ISSN 1434-3207 (E)
In Silico Biology is a scientific research journal for the advancement of computational models and simulations applied to complex biological phenomena. We publish peer-reviewed leading-edge biological, biomedical and biotechnological research in which computer-based (i.e.,
"in silico"
) modeling and analysis tools are developed and utilized to predict and elucidate dynamics of biological systems, their design and control, and their evolution. Experimental support may also be provided to support the computational analyses.
In Silico Biology aims to advance the knowledge of the principles of organization of living systems. We strive to provide computational frameworks for understanding how observable biological properties arise from complex systems. In particular, we seek for integrative formalisms to decipher cross-talks underlying systems level properties, ultimate aim of multi-scale models.
Studies published in
In Silico Biology generally use theoretical models and computational analysis to gain quantitative insights into regulatory processes and networks, cell physiology and morphology, tissue dynamics and organ systems. Special areas of interest include signal transduction and information processing, gene expression and gene regulatory networks, metabolism, proliferation, differentiation and morphogenesis, among others, and the use of multi-scale modeling to connect molecular and cellular systems to the level of organisms and populations.
In Silico Biology also publishes foundational research in which novel algorithms are developed to facilitate modeling and simulations. Such research must demonstrate application to a concrete biological problem.
In Silico Biology frequently publishes special issues on seminal topics and trends. Special issues are handled by Special Issue Editors appointed by the Editor-in-Chief. Proposals for special issues should be sent to the Editor-in-Chief.
About In Silico Biology
The term
"in silico"
is a pendant to
"in vivo"
(in the living system) and
"in vitro"
(in the test tube) biological experiments, and implies the gain of insights by computer-based simulations and model analyses.
In Silico Biology (ISB) was founded in 1998 as a purely online journal. IOS Press became the publisher of the printed journal shortly after. Today, ISB is dedicated exclusively to biological systems modeling and multi-scale simulations and is published solely by IOS Press. The previous online publisher, Bioinformation Systems, maintains a website containing studies published between 1998 and 2010 for archival purposes.
We strongly support open communications and encourage researchers to share results and preliminary data with the community. Therefore, results and preliminary data made public through conference presentations, conference proceeding or posting of unrefereed manuscripts on preprint servers will not prohibit publication in ISB. However, authors are required to modify a preprint to include the journal reference (including DOI), and a link to the published article on the ISB website upon publication.
Abstract: Careful analysis of microarray probe design should be an obligatory component of MicroArray Quality Control (MACQ) project [Patterson et al., 2006; Shi et al., 2006] initiated by the FDA (USA) in order to provide quality control tools to researchers of gene expression profiles and to translate the microarray technology from bench to bedside. The identification and filtering of unreliable probesets are important preprocessing steps before analysis of microarray data. These steps may result in an essential…improvement in the selection of differentially expressed genes, gene clustering and construction of co-regulatory expression networks. We revised genome localization of the Affymetrix U133A&B GeneChip initial (target) probe sequences, and evaluated the impact of erroneous and poorly annotated target sequences on the quality of gene expression data. We found about 25% of Affymetrix target sequences overlapping with interspersed repeats that could cause cross-hybridization effects. In total, discrepancies in target sequence annotation account for up to ∼30% of 44692 Affymetrix probesets. We introduce a novel quality control algorithm based on target sequence mapping onto genome and GeneChip expression data analysis. To validate the quality of probesets we used expression data from large, clinically and genetically distinct groups of breast cancers (249 samples). For the first time, we quantitatively evaluated the effect of repeats and other sources of inadequate probe design on the specificity, reliability and discrimination ability of Affymetrix probesets. We propose that only functionally reliable Affymetrix probesets that passed our quality control algorithm (∼ 86%) for gene expression analysis should be utilized. The target sequence annotation and filtering is available upon request.
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Keywords: U133 microarray, target sequences, noise signals, cross-hybridization, human genome, gene expression, sense-antisense gene pairs, interspersed repeats, breast cancer
Abstract: An original modeling tool called Evolutionary Constructor has been proposed and described. Evolutionary Constructor combines the advantages of both generalized and portrait modeling and, additionally, provides an option to modify a current model's structure. The evolution of communities comprising a trophic ring-like network with the horizontal transfer of metabolism genes occurring among the communities has been modeled and presented. It has been demonstrated that a prolonged increase in the fitness of any single population…that forms part of that trophic ring-like network of antagonistic communities will eventually lead that system to becoming absolutely dependent on environmental fluctuations. This result challenges the intuitive attitudes that the higher population fitness, the more stability is given to that population. Modeling of a system comprised by symbiotic communities has revealed that horizontal transfer confers a selective advantage not only on the acceptor population (which is up to expectations) but also on the donor population. It has therefore been demonstrated that horizontal transfer can be preserved by selection along evolution even without "selfish genes". Evolutionary Constructor can handle any phenotypic trait that is controlled genetically, epigenetically, etc., which extends the applicability of this tool to various processes of information transduction among populations, provided that these processes resemble horizontal gene transfer.
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Keywords: Ecosystem, trophic network, symbiotic community, antagonistic community, evolution of community, metabolic cul-de-sac, mathematical modeling, program package, mutation, horizontal gene transfer
Abstract: In this work, we apply population dynamic approach enhanced with simulation of the fate of neutrally evolving "DNA sequences" included into each individual in the computer experiment to the case of the Baikalian endemic polychaetes Manayunkia. These animals inhabit a narrow littoral zone around whole the lake perimeter and are of very limited mobility. Accordingly, the general model was modified by addition of a "geographic barrier" of different isolating power and length of existence. Using this…model, we simulated the process of genetic differentiation of groups in this organism taking into account isolation by distance and geographical barriers. Wright's F_{st} test was used in order to estimate of genetic flow. Relevant sample sizes were estimated, which would produce most important population parameters of the precision required to describe micro-evolutionary processes in Manayunkia.
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Keywords: Population dynamic, DNA, Baikalian polychaetes, stochastic model, population genetics, geographical isolation
Abstract: RNAmodel web server was recently established at the IITP RAS to implement our previously proposed model of the classic attenuation regulation of gene expression in bacteria. This new model is based on the concept of resonant-like interaction between RNA polymerase and hairpins of RNA secondary structure formed during transcription. Our modeling relies on standard Monte Carlo procedures and covers all essential stages of the process, including initiation and elongation of transcription and translation; the deceleration of…ribosome on regulatory codons, which depends on the concentration of charged amino acyl-tRNA; the polymerase shifting delay caused by secondary structure folded into the mRNA segment between ribosome and polymerase; and, ultimately, either transcription terminating prematurely or polymerase reaching a region of structural genes (antitermination). By means of Monte Carlo simulation we build a function p(c) which expresses the probability of termination (i.e., an enzyme activity) vs. the concentration of charged amino acyl-tRNA or of amino acid itself, measured in actual or relative units.
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Keywords: Classic attenuation, transcription regulation, mathematic modeling, web server implementation
Abstract: The updated structural and phylogenetic analyses of tRNA pairs with complementary anticodons provide independent support for our earlier finding, namely that these tRNA pairs concertedly show complementary second bases in the acceptor stem. Two implications immediately follow: first, that a tRNA molecule gained its present, complete, cloverleaf shape via duplication(s) of a shorter precursor. Second, that common ancestry is shared by two major components of the genetic code within the tRNA molecule – the classic code…per se embodied in anticodon triplets, and the operational code of aminoacylation embodied primarily in the first three base pairs of the acceptor stems. In this communication we show that it might have been a double, sense-antisense, in-frame translation of the very first protein-encoding genes that directed the code's earliest expansion, thus preserving this fundamental dual-complementary link between acceptors and anticodons. Furthermore, the dual complementarity appears to be consistent with two mirror-symmetrical modes by which class I and II aminoacyl-tRNA synthetases recognize the cognate tRNAs – from the minor and major groove side of the acceptor stem, respectively.
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Abstract: Proteins of the relative families p53 and p63/p73 are transcriptional factors that are involved in the signaling pathway in cells. The wide spectrum of their functions includes cell cycle arrest and apoptosis in response to DNA damage. The p53 protein also participates in development of particular tissues during embryogenesis. Thus, it is of high importance to establish the relation between structure, function and evolution of these proteins. In the current computational study, the evolutionary…mode of the p63/p73 protein family is investigated. Search for the adaptive branches of the phylogenetic tree and the adaptive codons in the nucleotide sequences was performed using the codeml program from the PAML package, version 3.14. The results obtained were compared with those of our previous phylogenetic analysis of the p53 protein. Evidence was obtained that the evolutionary history of the p63/p73 proteins has been under positive selection. An attempt is made to associate the current evidence with the previous for positive selection in the p53 family. Recently the G245C substitution has been assumed to result in formation of a novel Zn^{2+} -binding site in the p53 protein. The molecular mechanics simulations were performed to estimate energy of zinc binding to its site in two dominant-negative p53 mutants – G245C and R175H – in comparison with the wild-type p53. The results of the estimation provided evidence of the novel Zn^{2+} -binding site functionality in G245C mutant form.
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Abstract: Positive selection of genes that comprise signaling cascades and play the paramount role in the development of multicellular organisms is critical to our understanding of the reasons for the evolution of embryonic development. In this work, we analyze the evolution of 9 genes involved in the function of the Hh signaling cascade. We demonstrated that positive selection is a characteristic feature of the protein domains, encoded by gene regions, whose functions are related to the molecular…mechanisms of development. We also found that the positive selection of Hh-signaling cascade transcription factors, morphogens, their development-related receptors and intracellular signal transduction factors are related to the divergence of the Bilateria taxonomic types.
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