In silico Analysis of Post Translational Modifications on the EhHSTF7 factor in Entamoeba histolytica

Author(s):  
Dafne Andrea Jimenez Hernandez ◽  
Maria del Consuelo Gomez Garcia ◽  
Maritere Dominguez Rojas ◽  
Fabiola Bello Santos ◽  
Olivia Medel Flores ◽  
...  
Author(s):  
Caner Yavuz ◽  
Zahide Neslihan Öztürk

Increase in online available bioinformatics tools for protein research creates an important opportunity for scientists to reveal characteristics of the protein of interest by only starting from the predicted or known amino acid sequence without fully depending on experimental approaches. There are many sophisticated tools used for diverse purposes; however, there are not enough reviews covering the tips and tricks in selecting and using the correct tools as the literature mainly state the promotion of the new ones. In this review, with the aim of providing young scientists with no specific experience on protein work a reliable starting point for in silico analysis of the protein of interest, we summarized tools for annotation, identification of motifs and domains, determination isoelectric point, molecular weight, subcellular localization, and post-translational modifications by focusing on the important points to be considered while selecting from online available tools.


Author(s):  
Suchetana Pal ◽  
Pinaki Biswas ◽  
Raktim Ghosh ◽  
Somasri Dam

Abstract Background Amoebiasis, being endemic worldwide, is the second leading cause of parasite-associated morbidity and mortality after malaria. The human parasite Entamoeba histolytica is responsible for the disease. Metronidazole is considered as the gold standard for the treatment of amoebiasis, but this antibiotic is carcinogenic and the development of antibiotic resistance against E. histolytica is a major health concern. Chromosome segregation is irregular in this parasite due to the absence of a few cell cycle checkpoint proteins. Anaphase-promoting complex (APC/C or cyclosome) is an E3 ubiquitin ligase that synchronizes chromosome segregation and anaphase progression via the ubiquitin-proteasome system. Proteasome is considered to be an attractive drug target for protozoan parasites. For the present study, EhApc11 from E. histolytica, a homologue of Apc11 in humans, is selected for elucidating its structural and functional aspects by detailed in silico analysis and molecular methods. Its physicochemical characteristics, identification of probable interactors, 3D model and quality analysis are done using standard bioinformatics tools. cDNA sequence of EhAPC11 has been further cloned for molecular characterization. Result Conserved domain analysis revealed that EhApc11 belongs to the RING (really interesting new gene) superfamily and has ligand binding capacity. Expression study in Escherichia coli BL21 (DE3) revealed that the molecular weight of glutathione S-transferase (GST)-tagged protein is ~ 36 kDa. Conclusion EhApc11 is a hydrophilic, thermostable, extracellular protein with potent antigenicity. The study will serve as a groundwork for future in-depth analysis regarding the validation of protein-protein interaction of EhApc11 with its substrates identified by STRING analysis and the potential of EhApc11 to serve as an anti-amoebic drug target.


2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.


2013 ◽  
Vol 9 (4) ◽  
pp. 608-616 ◽  
Author(s):  
Zaheer Ul-Haq ◽  
Saman Usmani ◽  
Uzma Mahmood ◽  
Mariya al-Rashida ◽  
Ghulam Abbas

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