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Computational and Structural Biotechnology Journal

Yuchen Chen, Xinran Liu, Yangkai Li, Chuntao Quan, Ling Zheng, Kun Huang
Lung cancer is one of the most common malignancies. In spite of the progress made in past decades, further studies to improve current therapy for lung cancer are required. Dynamically controlled by methyltransferases and demethylases, methylation of lysine and arginine residues on histone proteins regulates chromatin organization and thereby gene transcription. Aberrant alterations of histone methylation have been demonstrated to be associated with the progress of multiple cancers including lung cancer. Inhibitors of methyltransferases and demethylases have exhibited anti-tumor activities in lung cancer, and multiple lead candidates are under clinical trials...
2018: Computational and Structural Biotechnology Journal
Chi-Ching Tsang, James Y M Tang, Susanna K P Lau, Patrick C Y Woo
Aspergillus , Penicillium and Talaromyces are diverse, phenotypically polythetic genera encompassing species important to the environment, economy, biotechnology and medicine, causing significant social impacts. Taxonomic studies on these fungi are essential since they could provide invaluable information on their evolutionary relationships and define criteria for species recognition. With the advancement of various biological, biochemical and computational technologies, different approaches have been adopted for the taxonomy of Aspergillus , Penicillium and Talaromyces ; for example, from traditional morphotyping, phenotyping to chemotyping (e...
2018: Computational and Structural Biotechnology Journal
Hervé Seligmann
Several hypotheses predict ranks of amino acid assignments to genetic code's codons. Analyses here show that average positions of amino acid species in proteins correspond to assignment ranks, in particular as predicted by Juke's neutral mutation hypothesis for codon assignments. In all tested protein groups, including co- and post-translationally folding proteins, 'recent' amino acids are on average closer to gene 5' extremities than 'ancient' ones. Analyses of pairwise residue contact energies matrices suggest that early amino acids stereochemically selected late ones that stablilize residue interactions within protein cores, presumably producing 5'-late-to-3'-early amino acid protein sequence gradients...
2018: Computational and Structural Biotechnology Journal
M Q Yang, D Li, W Yang, Y Zhang, J Liu, W Tong
[This corrects the article DOI: 10.1016/j.csbj.2017.09.003.].
2018: Computational and Structural Biotechnology Journal
Martin H D Neumann, Sebastian Bender, Thomas Krahn, Thomas Schlange
We discuss the current status of liquid biopsy and its advantages and challenges with a focus on pre-analytical sample handling, technologies and workflows. The potential of circulating tumor cells and circulating tumor DNA is pointed out and an overview of corresponding technologies is given.
2018: Computational and Structural Biotechnology Journal
Dimitrios Zafeiris, Sergio Rutella, Graham Roy Ball
The field of machine learning has allowed researchers to generate and analyse vast amounts of data using a wide variety of methodologies. Artificial Neural Networks (ANN) are some of the most commonly used statistical models and have been successful in biomarker discovery studies in multiple disease types. This review seeks to explore and evaluate an integrated ANN pipeline for biomarker discovery and validation in Alzheimer's disease, the most common form of dementia worldwide with no proven cause and no available cure...
2018: Computational and Structural Biotechnology Journal
Aloysius Wong, Xuechen Tian, Chris Gehring, Claudius Marondedze
Plants are constantly exposed to environmental stresses and in part due to their sessile nature, they have evolved signal perception and adaptive strategies that are distinct from those of other eukaryotes. This is reflected at the cellular level where receptors and signalling molecules cannot be identified using standard homology-based searches querying with proteins from prokaryotes and other eukaryotes. One of the reasons for this is the complex domain architecture of receptor molecules. In order to discover hidden plant signalling molecules, we have developed a motif-based approach designed specifically for the identification of functional centers in plant molecules...
2018: Computational and Structural Biotechnology Journal
Emilio Siena, Margherita Bodini, Duccio Medini
No abstract text is available yet for this article.
2018: Computational and Structural Biotechnology Journal
Susanna K P Lau, Jade L L Teng, Tsz Ho Chiu, Elaine Chan, Alan K L Tsang, Gianni Panagiotou, Shao-Lun Zhai, Patrick C Y Woo
In Hong Kong, cattle were traditionally raised by farmers as draft animals to plough rice fields. Due to urbanization in the 20th century, they were gradually abandoned and became wild cattle straying in suburban Hong Kong. Recently, these cattle were observed to have become omnivorous by eating leftover barbeque food waste in country parks. Microbiome analysis was performed on fecal samples of the omnivorous cattle using deep sequencing and the resulting microbiome was compared with that of traditional herbivorous cattle in Southern China...
2018: Computational and Structural Biotechnology Journal
Pearl Chang, Moloya Gohain, Ming-Ren Yen, Pao-Yang Chen
The hierarchical organization of chromatin is known to associate with diverse cellular functions; however, the precise mechanisms and the 3D structure remain to be determined. With recent advances in high-throughput next generation sequencing (NGS) techniques, genome-wide profiling of chromatin structures is made possible. Here, we provide a comprehensive overview of NGS-based methods for profiling "higher-order" and "primary-order" chromatin structures from both experimental and computational aspects...
2018: Computational and Structural Biotechnology Journal
Chuan Xu, Guillaume Bouvier, Benjamin Bardiaux, Michael Nilges, Thérèse Malliavin, Abdel Lisser
Numerous biophysical approaches provide information about residues spatial proximity in proteins. However, correct assignment of the protein fold from this proximity information is not straightforward if the spatially close protein residues are not assigned to residues in the primary sequence. Here, we propose an algorithm to assign such residue numbers by ordering the columns and lines of the raw protein contact matrix directly obtained from proximity information between unassigned amino acids. The ordering problem is formatted as the search of a trail within a graph connecting protein residues through the nonzero contact values...
2018: Computational and Structural Biotechnology Journal
Chang Xu
Detection of somatic mutations holds great potential in cancer treatment and has been a very active research field in the past few years, especially since the breakthrough of the next-generation sequencing technology. A collection of variant calling pipelines have been developed with different underlying models, filters, input data requirements, and targeted applications. This review aims to enumerate these unique features of the state-of-the-art variant callers, in the hope to provide a practical guide for selecting the appropriate pipeline for specific applications...
2018: Computational and Structural Biotechnology Journal
Sailen Barik
The two classical immunophilin families, found essentially in all living cells, are: cyclophilin (CYN) and FK506-binding protein (FKBP). We previously reported a novel class of immunophilins that are natural chimera of these two, which we named dual-family immunophilin (DFI). The DFIs were found in either of two conformations: CYN-linker-FKBP (CFBP) or FKBP-3TPR-CYN (FCBP). While the 3TPR domain can serve as a flexible linker between the FKBP and CYN modules in the FCBP-type DFI, the linker sequences in the CFBP-type DFIs are relatively short, diverse in sequence, and contain no discernible motif or signature...
2018: Computational and Structural Biotechnology Journal
Jerzy Krupinski, Caty Carrera, Elena Muiño, Nuria Torres, Raid Al-Baradie, Natalia Cullell, Israel Fernandez-Cadenas
Epigenetic modifications are hereditable and modifiable factors that do not alter the DNA sequence. These epigenetic factors include DNA methylation, acetylation of histones and non-coding RNAs. Epigenetic factors have mainly been associated with cancer but also with other diseases and conditions such as diabetes or obesity. In addition, epigenetic modifications could play an important role in cardiovascular diseases, including stroke. We review the latest advances in stroke epigenetics, focusing on DNA methylation studies and the future perspectives in this field...
2018: Computational and Structural Biotechnology Journal
Bhagwan Yadav, Krister Wennerberg, Tero Aittokallio, Jing Tang
[This corrects the article DOI: 10.1016/j.csbj.2015.09.001.].
2017: Computational and Structural Biotechnology Journal
Kun Zhao, Jaume Jorba, Jing Shaw, Jane Iber, Qi Chen, Kelley Bullard, Olen M Kew, Cara C Burns
Public health response to vaccine-derived poliovirus (VDPV) that is transmitted from person to person (circulating VDPV [cVDPV]) differs significantly from response to virus that replicates in individuals with primary immunodeficiency (immunodeficiency-associated VDPV [iVDPV]). cVDPV outbreaks require a community immunization response, whereas iVDPV chronic infections require careful patient monitoring and appropriate individual treatment. To support poliovirus outbreak response, particularly for type 2 VDPV, we investigated the genetic distinctions between cVDPV2 and iVDPV2 sequences...
2017: Computational and Structural Biotechnology Journal
Ruibang Luo, Fritz J Sedlazeck, Charlotte A Darby, Stephen M Kelly, Michael C Schatz
Linked-read sequencing, using highly-multiplexed genome partitioning and barcoding, can span hundreds of kilobases to improve de novo assembly, haplotype phasing, and other applications. Based on our analysis of 14 datasets, we introduce LRSim that simulates linked-reads by emulating the library preparation and sequencing process with fine control over variants, linked-read characteristics, and the short-read profile. We conclude from the phasing and assembly of multiple datasets, recommendations on coverage, fragment length, and partitioning when sequencing genomes of different sizes and complexities...
2017: Computational and Structural Biotechnology Journal
Pía Francesca Loren Reyes, Tom Michoel, Anagha Joshi, Guillaume Devailly
Functional annotation transfer across multi-gene family orthologs can lead to functional misannotations. We hypothesised that co-expression network will help predict functional orthologs amongst complex homologous gene families. To explore the use of transcriptomic data available in public domain to identify functionally equivalent ones from all predicted orthologs, we collected genome wide expression data in mouse and rat liver from over 1500 experiments with varied treatments. We used a hyper-graph clustering method to identify clusters of orthologous genes co-expressed in both mouse and rat...
2017: Computational and Structural Biotechnology Journal
Pranav Kulkarni, Peter Frommolt
While Next-Generation Sequencing (NGS) can now be considered an established analysis technology for research applications across the life sciences, the analysis workflows still require substantial bioinformatics expertise. Typical challenges include the appropriate selection of analytical software tools, the speedup of the overall procedure using HPC parallelization and acceleration technology, the development of automation strategies, data storage solutions and finally the development of methods for full exploitation of the analysis results across multiple experimental conditions...
2017: Computational and Structural Biotechnology Journal
Mary Qu Yang, Dan Li, William Yang, Yifan Zhang, Jun Liu, Weida Tong
Clear cell renal cell carcinoma (ccRCC) is the most common and most aggressive form of renal cell cancer (RCC). The incidence of RCC has increased steadily in recent years. The pathogenesis of renal cell cancer remains poorly understood. Many of the tumor suppressor genes, oncogenes, and dysregulated pathways in ccRCC need to be revealed for improvement of the overall clinical outlook of the disease. Here, we developed a systems biology approach to prioritize the somatic mutated genes that lead to dysregulation of pathways in ccRCC...
2017: Computational and Structural Biotechnology Journal
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