Purchase individual online access for 1 year to this journal.
Price: EUR N/A
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: Three aminoacyl-tRNA synthetases from yeast, one from plants and one from mammals possess unusual structures at their N termini, namely α helices with basic residues distributed asymmetrically, on a single face of the helix. It is unknown if these 'basic faced' α helices (BFAHs) are unique to the aminoacyl-tRNA synthetases. Analysis of the amino acid sequences of these five aminoacyl-tRNA synthetases using the hydrophobic moment algorithm failed to accurately identify the BFAHs. A new algorithm was…therefore developed, called the 'basic moment'. This is a Fourier analysis procedure that predicts the distribution of basic residues within protein secondary structure. The basic moment identifies with a high degree of accuracy the five known BFAHs and also identifies further potential BFAHs at evolutionarily conserved positions in the peptide extensions of aspartyl-, lysyl- and valyl- tRNA synthetases from a range of eukaryotic species. In addition, the algorithm identifies the two-helix pair tRNA binding domain of alanyl-tRNA synthetase, implying that the domain includes a BFAH. The functional and evolutionary aspects of these structural features are discussed.
Show more
Abstract: Protein lengths vary considerably from a few to thousands of amino acids and length variations are documented to have multiple effects. A computational approach to investigate the functional impact of protein length variation in genetic disorders is presented. The genes for huge proteins are found to have more introns. Our analysis also shows greater involvement of huge proteins in hereditary diseases.
Keywords: Huge proteins, protein length, human, disease, OMIM
Abstract: In order to identify and to characterise gene clusters conserved in microbial genomes, the algorithm AMIGOS was developed. It is based on a categorisation of genes using a predefined set of gene functions (GFs). After the categorisation of all genes of a genome and based on their location on a replicon, distances between GFs were determined and stored in genome-specific matrices. These matrices were used to identify GF clusters like those strictly conserved in 13 archaeal,…in 47 bacterial genomes and in the combination of the sets. Within the combined set of these 60 microbial genomes, there exist only two strictly conserved clusters harbouring two ribosomal genes each, namely those for L4, L23 and L22, L29. In order to characterise less strictly conserved GF clusters, content of genomes i.e. matrices were analysed pairwise. Resulting clusters were merged to (meta-) clusters if their content overlapped. A scoring system named cons_{CL} was developed. It quantifies conservedness of cluster membership for individual GFs. For the genome of Escherichia coli it was shown that a grouping of cluster elements on cons_{CL} values dissected the clusters into smaller sets. These sets were frequently overlapped by known transcriptional units (TUs). This finding justifies the usage of cons_{CL} scores to predict TU membership of genes. In addition, cons_{CL} values provide a sound basis for non-homologous gene annotation. Based on cons_{CL} values, examples of conserved clusters containing annotated genes and single ones with unknown function are given.
Show more
Abstract: We have implemented a novel gapped-alignment algorithm to compare Position Frequency Matrices (PFMs) for Transcription Factor Binding Sites. The application compares an input PFM with those collected from public databases and outputs similarity scores, sequence alignments and related PFM clusters. MACO is freely accessible on a web server located at www.nicemice.cn/bioinfo/MACO. Source code is distributed upon request to the authors.
Keywords: Position Frequency Matrix (PFM), gap, alignment, transcription factor binding site (TFBS)
Abstract: The presence of sequence homologues and the availability of structural information of proteins enable better understanding of the biological function of a protein family. A majority of entries in protein structural databank are single member superfamilies for which it is hard to derive motifs due to the paucity of structural homologues. Important conserved segments for these superfamilies have been identified and compiled into a database, SSToSS (Sequence Structural Templates of Single member Superfamily).…Conserved regions, recognized by permitted amino acid exchanges, are mapped on the structure and various structural features (solvent accessibility, secondary structure content, hydrogen bonding and residue packing) are examined. These conserved segments with high structural feature content are projected as sequence-structural templates for the particular superfamily member. Interactive three-dimensional displays of the templates in three-dimensional structure (in Chime® and RASMOL) are provided for better understanding and visualization. In SSToSS database, we also provide the application of sequence-structural templates in three different areas: multiple-motif based sequence search, multiple sequence alignment and homology modeling. In each case, the inclusion of the sequence-structural templates can give rise to sensitive and accurate results. This enables the inclusion of singletons to provide added value to the recognition of additional members, comparative modeling and in designing experiments.
Show more
Keywords: Conserved regions, motif-based database search, comparative modeling, spatial orientation of motifs, superfamily signatures, distant similarity, protein structure prediction
Abstract: The most popular way of comparing the performance of multiple sequence alignment programs is to use empirical testing on sets of test sequences. Several such test sets now exist, each with potential strengths and weaknesses. We apply several different alignment packages to 6 benchmark datasets, and compare their relative performances. HOMSTRAD, a collection of alignments of homologous proteins, is regularly used as a benchmark for sequence alignment though it is not designed as such, and lacks…annotation of reliable regions within the alignment. We introduce this annotation into HOMSTRAD using protein structural superposition. Results on each database show that method performance is dependent on the input sequences. Alignment benchmarks are regularly used in combination to measure performance across a spectrum of alignment problems. Through combining benchmarks, it is possible to detect whether a program has been over-optimised for a single dataset, or alignment problem type.
Show more
Abstract: Recent advances in DNA sequencing technology have enabled elucidation of whole genome information from a plethora of organisms. In parallel with this technology, various bioinformatics tools have driven the comparative analysis of the genome sequences between species and within isolates. While drawing meaningful conclusions from a large amount of raw material, computer-aided identification of suitable targets for further experimental analysis and characterization, has also led to the prediction of non-human homologous essential…genes in bacteria as promising candidates for novel drug discovery. Here, we present a comparative genomic analysis to identify essential genes in Burkholderia pseudomallei. Our in silico prediction has identified 312 essential genes which could also be potential drug candidates. These genes encode essential proteins to support the survival of B. pseudomallei including outer-inner membrane and surface structures, regulators, proteins involved in pathogenenicity, adaptation, chaperones as well as degradation of small and macromolecules, energy metabolism, information transfer, central/intermediate/miscellaneous metabolism pathways and some conserved hypothetical proteins of unknown function. Therefore, our in silico approach has enabled rapid screening and identification of potential drug targets for further characterization in the laboratory.
Show more
Abstract: The serine-rich (SR) protein family is involved in the pre-mRNA splicing process and the DNA sequences of the corresponding genes are highly conserved in the metazoan organisms. The mammalian SR proteins consist of one or two characteristic RNA binding domains (RBD), containing the signature sequences RDAEDA and SWQDLKD and a RS (arginine/serine-rich) domain. We used the amino acid and nucleotide sequences deposited in GenBank and Swiss-Prot databases to perform a phylogenetic analysis using bioinformatics tools. The…results of the phylogenetic trees suggest that this family has evolved by several gene duplication events as a result of a positive selection mechanism.
Show more
Keywords: SR protein family, splicing, Toxoplasma, molecular evolution