scholarly journals Screening of Aptamers That Bind to the Multivalent Aminoglycoside Amikacin

2021 ◽  
Author(s):  
AHM Khurshid Alam ◽  
Yoshiko Miura ◽  
Toshifumi Tsukahara
Keyword(s):  
Drug Targets ◽  
Molecular Therapy ◽  
Rna Aptamers ◽  
Local Alignment ◽  
Conserved Motifs ◽  
Rna Molecules ◽  
Functional Roles ◽  
Target Sites ◽  
Search Tool ◽  
Novel Target

Increased awareness of the multiple roles of RNA molecules has led to the realization that, in addition to their structural and functional roles, RNAs can be drug targets for small molecular therapy. The aim of this study was to identify multivalent amikacin specific RNA aptamers that can be a new target sites for aminoglycoside antibiotics, including amikacin using the systemic evolution of ligands by exponential enrichment (SELEX) method. Amikacin, a member of the aminoglycoside group of antibiotics, binds to specific sites in bacterial 16S ribosomal RNAs (rRNAs) and interferes with protein synthesis, leading to cell death. Here, we used the SELEX method to isolate high affinity RNA fragments (aptamers) that bind to amikacin. After five rounds of SELEX selection, in which a linear N25 DNA template was used for the first selection cycle, the resulting RNA was cloned and sequenced. Among the 38 clones generated, five groups of sequences (groups A through E) containing nine conserved motifs were identified. The sequences of groups A and B were almost identical, indicating that the selected RNA was enriched. Subsequently, the Basic Local Alignment Search Tool program was used to search for the conserved motifs in bacterial 16S rRNA sequences. Strikingly, no sequence homology was observed, suggesting that the conserved sequences (motifs) identified in this study may be novel target sites for amikacin.

An Insight into the Current Perspective and Potential Drug Targets for Visceral Leishmaniasis (VL)

2020 ◽  
Vol 21 (11) ◽  
pp. 1105-1129
Author(s):  
Rani Mansuri ◽  
Jagbir Singh ◽  
Anupama Diwan
Keyword(s):  
Drug Targets ◽  
Redox Homeostasis ◽  
World Health ◽  
Metabolism Pathway ◽  
Thiol Metabolism ◽  
Development Of Resistance ◽  
Current Perspective ◽  
Fatal Form ◽  
Novel Target ◽  
Health Organization

Leishmaniasis is one of the six entities on the list of most important diseases of the World Health Organization/Tropical Disease Research (WHO/TDR). After Malaria, it is one of the most prevalent and lethal parasitic diseases. VL is the fatal form of this disease, especially if left untreated. The drugs that are currently available for the treatment of VL are expensive, toxic, or no longer effective, especially in endemic regions. Currently, no vaccine has been developed to immunize humans against VL. The major problems with the current drugs are the development of resistance and their adverse effects. Therefore, there is a strong urge to research and design drugs that have better efficacies and low toxicities as compared to current chemotherapeutic drugs. Leishmania has various enzymes involved in its metabolic pathways, which are unique to either the same genus or trypanosomatids, making them a very suitable, attractive and novel target sites for drug development. One of the significant pathways unique to trypanosomatids is the thiol metabolism pathway, which is involved in the maintenance of redox homeostasis as well as protection of the parasite in the macrophage from oxidative stress-induced damage. In this review the several pathways, their essential enzymes as well as the proposed changes in the parasites due to drug resistance have been discussed to help to understand the most suitable drug target. The thiol metabolism pathway is discussed in detail, providing evidence of this pathway being the most favorable choice for drug targeting in VL.

The Influence of Memory-Aware Computation on Distributed BLAST

2019 ◽  
Vol 14 (2) ◽  
pp. 157-163
Author(s):  
Majid Hajibaba ◽  
Mohsen Sharifi ◽  
Saeid Gorgin
Keyword(s):  
Search Time ◽  
Genomic Research ◽  
Local Alignment ◽  
Negative Effects ◽  
Sequencing Technologies ◽  
Percent Improvement ◽  
Fast Processing ◽  
Search Tool ◽  
Memory Awareness ◽  
Generation Sequencing

Background: One of the pivotal challenges in nowadays genomic research domain is the fast processing of voluminous data such as the ones engendered by high-throughput Next-Generation Sequencing technologies. On the other hand, BLAST (Basic Local Alignment Search Tool), a longestablished and renowned tool in Bioinformatics, has shown to be incredibly slow in this regard. Objective: To improve the performance of BLAST in the processing of voluminous data, we have applied a novel memory-aware technique to BLAST for faster parallel processing of voluminous data. Method: We have used a master-worker model for the processing of voluminous data alongside a memory-aware technique in which the master partitions the whole data in equal chunks, one chunk for each worker, and consequently each worker further splits and formats its allocated data chunk according to the size of its memory. Each worker searches every split data one-by-one through a list of queries. Results: We have chosen a list of queries with different lengths to run insensitive searches in a huge database called UniProtKB/TrEMBL. Our experiments show 20 percent improvement in performance when workers used our proposed memory-aware technique compared to when they were not memory aware. Comparatively, experiments show even higher performance improvement, approximately 50 percent, when we applied our memory-aware technique to mpiBLAST. Conclusion: We have shown that memory-awareness in formatting bulky database, when running BLAST, can improve performance significantly, while preventing unexpected crashes in low-memory environments. Even though distributed computing attempts to mitigate search time by partitioning and distributing database portions, our memory-aware technique alleviates negative effects of page-faults on performance.

scholarly journals Development of an HTS Assay for the Search of Anti-influenza Agents Targeting the Interaction of Viral RNA with the NS1 Protein

2008 ◽  
Vol 13 (7) ◽  
pp. 581-590 ◽  
Author(s):  
Marta Maroto ◽  
Yolanda Fernandez ◽  
Juan Ortin ◽  
Fernando Pelaez ◽  
M. Angerles Cabello
Keyword(s):  
Influenza A Virus ◽  
Influenza A ◽  
Cytopathic Effect ◽  
Nonstructural Protein ◽  
Specific Interaction ◽  
Chemical Compounds ◽  
Viral Rna ◽  
Ns1 Protein ◽  
Rna Molecules ◽  
Novel Target

The NS1 protein is a nonstructural protein encoded by the influenza A virus. It is responsible for many alterations produced in the cellular metabolism upon infection by the virus and for modulation of virus virulence. The NS1 protein is able to perform a large variety of functions due to its ability to bind various types of RNA molecules, from both viral and nonviral origin, and to interact with several cell factors. With the aim of exploring whether the binding of NS1 protein to viral RNA (vRNA) could constitute a novel target for the search of anti-influenza drugs, a filter-binding assay measuring the specific interaction between the recombinant His-NS1 protein from influenza A virus and a radiolabeled model vRNA ( 32P-vNSZ) was adapted to a format suitable for screening and easy automation. Flashplate® technology (PerkinElmer, Waltham, MA), either in 96- or 384-well plates, was used. The Flashplate® wells were precoated with the recombinant His-NS1 protein, and the binding of His-NS1 to a 35S-vNSZ probe was measured. A pilot screening of a collection of 27,520 mixtures of synthetic chemical compounds was run for inhibitors of NS1 binding to vRNA. We found 3 compounds in which the inhibition of NS1 binding to vRNA, observed at submicromolar concentrations, was correlated with a reduction of the cytopathic effect during the infection of cell cultures with influenza virus. These results support the hypothesis that the binding of NS1 to vRNA could be a novel target for the development of anti-influenza drugs. ( Journal of Biomolecular Screening 2008:581-590)

scholarly journals Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dimitri Boeckaerts ◽  
Michiel Stock ◽  
Bjorn Criel ◽  
Hans Gerstmans ◽  
Bernard De Baets ◽  
...  
Keyword(s):  
Machine Learning ◽  
Predictive Model ◽  
Receptor Binding ◽  
Bacterial Infections ◽  
Sequence Data ◽  
Sequence Similarity ◽  
Area Under The Curve ◽  
Local Alignment ◽  
Search Tool ◽  
Different Levels

AbstractNowadays, bacteriophages are increasingly considered as an alternative treatment for a variety of bacterial infections in cases where classical antibiotics have become ineffective. However, characterizing the host specificity of phages remains a labor- and time-intensive process. In order to alleviate this burden, we have developed a new machine-learning-based pipeline to predict bacteriophage hosts based on annotated receptor-binding protein (RBP) sequence data. We focus on predicting bacterial hosts from the ESKAPE group, Escherichia coli, Salmonella enterica and Clostridium difficile. We compare the performance of our predictive model with that of the widely used Basic Local Alignment Search Tool (BLAST). Our best-performing predictive model reaches Precision-Recall Area Under the Curve (PR-AUC) scores between 73.6 and 93.8% for different levels of sequence similarity in the collected data. Our model reaches a performance comparable to that of BLASTp when sequence similarity in the data is high and starts outperforming BLASTp when sequence similarity drops below 75%. Therefore, our machine learning methods can be especially useful in settings in which sequence similarity to other known sequences is low. Predicting the hosts of novel metagenomic RBP sequences could extend our toolbox to tune the host spectrum of phages or phage tail-like bacteriocins by swapping RBPs.

scholarly journals Kelch 13-propeller polymorphisms in Plasmodium falciparum from Jazan region, southwest Saudi Arabia

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Ommer Mohammed Dafalla ◽  
Mohammed Alzahrani ◽  
Ahmed Sahli ◽  
Mohammed Abdulla Al Helal ◽  
Mohammad Mohammad Alhazmi ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Saudi Arabia ◽  
Parasite Clearance ◽  
Sub Saharan Africa ◽  
Local Alignment ◽  
Nucleotide Polymorphisms ◽  
Gene Encoding ◽  
Synonymous Mutations ◽  
Search Tool ◽  
Sub Saharan

Abstract Background Artemisinin-based combination therapy (ACT) is recommended at the initial phase for treatment of Plasmodium falciparum, to reduce morbidity and mortality in all countries where malaria is endemic. Polymorphism in portions of P. falciparum gene encoding kelch (K13)-propeller domains is associated with delayed parasite clearance after ACT. Of about 124 different non-synonymous mutations, 46 have been identified in Southeast Asia (SEA), 62 in sub-Saharan Africa (SSA) and 16 in both the regions. This is the first study designed to analyse the prevalence of polymorphism in the P. falciparum k13-propeller domain in the Jazan region of southwest Saudi Arabia, where malaria is endemic. Methods One-hundred and forty P. falciparum samples were collected from Jazan region of southwest Saudi Arabia at three different times: 20 samples in 2011, 40 samples in 2016 and 80 samples in 2020 after the implementation of ACT. Plasmodium falciparum kelch13 (k13) gene DNA was extracted, amplified, sequenced, and analysed using a basic local alignment search tool (BLAST). Results This study obtained 51 non-synonymous (NS) mutations in three time groups, divided as follows: 6 single nucleotide polymorphisms (SNPs) ‘11.8%’ in samples collected in 2011 only, 3 (5.9%) in 2011and 2016, 5 (9.8%) in 2011 and 2020, 5 (9.8%) in 2016 only, 8 (15.7%) in 2016 and 2020, 14 (27.5%) in 2020 and 10 (19.6%) in all the groups. The BLAST revealed that the 2011 isolates were genetically closer to African isolates (53.3%) than Asian ones (46.7%). Interestingly, this proportion changed completely in 2020, to become closer to Asian isolates (81.6%) than to African ones (18.4%). Conclusions Despite the diversity of the identified mutations in the k13-propeller gene, these data did not report widespread artemisinin-resistant polymorphisms in the Jazan region where these samples were collected. Such a process would be expected to increase frequencies of mutations associated with the resistance of ACT.

scholarly journals Fish Identification based on Partial Fragments of The Mitochondrial COI Subunit I Gene

2021 ◽  
Vol 322 ◽  
pp. 01038
Author(s):  
Tuah N. M. Wulandari
Keyword(s):  
Phylogenetic Tree ◽  
Coi Gene ◽  
Local Alignment ◽  
Mtdna Sequences ◽  
Mitochondrial Coi ◽  
Search Tool ◽  
Very High ◽  
I Gene

The mtDNA sequences revealed that several of the fish studied were Hampala macrolepidota and Barbonymus gonionotus. The objective of this research was to learn the pattern of COI gene in mtDNA and establish a phylogenetic tree. Basic Local Alignment Search Tool-nucleotide (BLASTn) confirmed that Barbonymus gonionotus froma the Ranau Lake, South Sumatera has 100% matching ranges to the species from Memberamo River (Indonesia), India, Bangladesh, Thailand (Mae Khlong), Indo-Myanmar, and Malaysia_1. The lowest closeness (98.76%) is related to species from Thailand (Lower Ing). The Blast investigation appears us that the level of familiarity was very high, it is coming to 98-100% in Barbonymus gonionotus. Hampala macrolepidota had 100% matching ranges to the species from Indonesia (SouthaSumatera_1) and Vietnam. They had 99.05%-99.84% closeness from Malaysia_1,2&3, Indonesia (South Sumatera_2&3, Java and Bali_1,2&3).

scholarly journals A Case Report on Genetic Analysis of Exon2 of Thyroid Transcription Factor 2 Gene in Congenital Hypothyroidism Patient

2021 ◽  
Vol 3 (2) ◽  
pp. 19-21
Author(s):  
Marjia Khatun ◽  
Laila Anjuman Banu
Keyword(s):  
Transcription Factor ◽  
Pediatric Patient ◽  
Congenital Hypothyroidism ◽  
Sanger Sequencing ◽  
Demographic Data ◽  
Local Alignment ◽  
Cycle Sequencing ◽  
Thyroid Transcription Factor ◽  
Search Tool ◽  
Information Database

A-3-year- old Bangladeshi pediatric patient named Tasin was presented with a diagnosed case of congenital hypothyroidism (CH). This type of hypothyroidism may occur due to the alteration in the nucleotide sequences of the Thyroid transcription factor 2 gene. Few studies are present on the genetic basis of this disease. CH is common in Bangladesh, may be due to geographical variation or other causes. Therefore, this study was conducted to identify whether there was any genetic alteration in the exon2 of Thyroid transcription factor 2 gene. With due procedure and permission from the guardian of the pediatric patient, socio-demographic data was collected. Isolation of DNA, quantitation and qualitation of DNA was ensured, polymerase chain reaction (PCR) was performed, the amplicons that was obtained from PCR; validated visually by gel electrophoresis methods; cycle sequencing was performed by Sanger sequencing. The chromatogram data that was obtained from Sanger sequencing was analyzed and compared with the National Center for Biotechnology Information database by Basic Local Alignment Search Tool search. Sanger sequencing revealed substitution (c.1051G>T) in the Sequence Tagged Site of the exon2 of Thyroid transcription factor 2 gene and this is new variants and not reported in National Center for Biotechnology Information database.

Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression

2010 ◽  
Vol 1 (3) ◽  
pp. 97-112 ◽  
Author(s):  
Richipal Singh Bindra ◽  
Jason T. L. Wang ◽  
Paramjeet Singh Bagga
Keyword(s):  
Mirna Target ◽  
Target Prediction ◽  
Untranslated Regions ◽  
Regulatory Rna ◽  
Rna Motifs ◽  
Protein Coding ◽  
Rna Molecules ◽  
Cellular Processes ◽  
Target Sites ◽  
Transcriptional Gene Regulation

MicroRNAs (miRNAs) are short single-stranded RNA molecules with 21-22 nucleotides known to regulate post-transcriptional expression of protein-coding genes involved in most of the cellular processes. Prediction of miRNA targets is a challenging bioinformatics problem. AU-rich elements (AREs) are regulatory RNA motifs found in the 3’ untranslated regions (UTRs) of mRNAs, and they play dominant roles in the regulated decay of short-lived human mRNAs via specific interactions with proteins. In this paper, the authors review several miRNA target prediction tools and data sources, as well as computational methods used for the prediction of AREs. The authors discuss the connection between miRNA and ARE-mediated post-transcriptional gene regulation. Finally, a data mining method for identifying the co-occurrences of miRNA target sites in ARE containing genes is presented.

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