Identification of deleterious missense variants of human Piwi like RNA-mediated gene silencing 1 gene and their impact on PAZ domain structure, stability, flexibility and dimension: in silico analysis

SARS-CoV-2 coronavirus uses for entry to human host cells a SARS-CoV receptor of the angiotensin-converting enzyme (ACE2) that catalyzes the conversion of angiotensin II into angiotensin (1-7). To understand the effect of ACE2 missense variants on protein structure, stability, and function, various bioinformatics tools were used including SIFT, PANTHER, PROVEAN, PolyPhen2.0, I. Mutant Suite, MUpro, SWISS-MODEL, Project HOPE, ModPred, QMEAN, ConSurf, and STRING. All twelve ACE2 nsSNPs were analyzed. Six ACE2 high-risk pathogenic nsSNPs (D427Y, R514G, R708W, R710C, R716C, and R768W) were found to be the most damaging by at least six software tools (cumulative score between 6 and 7) and exert deleterious effect on the ACE2 protein structure and likely function. Additionally, they revealed high conservation, less stability, and having a role in posttranslation modifications such a proteolytic cleavage or ADP-ribosylation. This in silico analysis provides information about functional nucleotide variants that have an impact on the ACE2 protein structure and function and therefore susceptibility to SARS-CoV-2.

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The CYSMA web server: An example of integrative tool for in silico analysis of missense variants identified in Mendelian disorders

Human Mutation ◽

10.1002/humu.23941 ◽

2019 ◽

Vol 41 (2) ◽

pp. 375-386 ◽

Cited By ~ 1

Author(s):

Souphatta Sasorith ◽

David Baux ◽

Anne Bergougnoux ◽

Damien Paulet ◽

Alan Lahure ◽

...

Keyword(s):

In Silico ◽

Web Server ◽

In Silico Analysis ◽

Missense Variants ◽

Mendelian Disorders ◽

Silico Analysis

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In silico analysis of Missense Variants in Human MPL Gene Associated with Essential Thrombocythemia

10.1101/830372 ◽

2019 ◽

Author(s):

Sahar G. Elbager ◽

Abier A. Makkawi ◽

Hadeel A. Mohamed ◽

Fauzia A. Abdelrahman ◽

Lamia H. Osman ◽

...

Keyword(s):

Essential Thrombocythemia ◽

In Silico ◽

Association Studies ◽

In Silico Analysis ◽

Structure And Function ◽

Janus Kinase ◽

Hematopoietic Stem ◽

Missense Variants ◽

And Function ◽

Silico Analysis

AbstractIntroductionThe proto-oncogene (MPL) gen encodes the receptor for thrombopoietin (TPO-R), a member of hematopoietic receptor superfamily. Thrombopoietin (TPO), the primary cytokine regulating self-renewal of hematopoietic stem cells, thrombopoiesis and megakaryocytopoiesis. TPO binding to TPO-R induces activation of Janus Kinase 2 (JAK2). Activated JAK2 triggers the activation of downstream positive signaling pathways, leading to the survival, proliferation, and differentiation of hematopoietic cells. Mutations in MPL gene possibly will alter the normal regulatory mechanisms. Numerous MPL mutations have been observed in various hematopoietic cancers such as essential thrombocythemia and primary myelofibrosis and leukemias. In this study, we performed a comprehensive in silico analysis of the functional and structural impact of non-synonymous (nsSNP) that are deleterious to TPO-R structure and function.MethodologyThe data on human MPL gene was retrieved from dbSNP/NCBI. Nine prediction algorithms; SIFT, Polyphen, PROVEAN, SNAP2, Condel, PhD-SNP, I-Mutant, Mutpred. RaptorX and Chimera were used to analyzing the effect of nsSNPs on functions and structure of the TPO-R. STRING and KEGG database were used for TPO-R protein-protein interaction.Results and DiscussionAs per dbSNP database, the human MPL gene contained 445 missense mutations. A total 5 nsSNPs (D295G, R257C, Y252H, R537W and D128Y) were predicted to have the most damaging effects on TPO-R structure and function. STRING and KEGG revealed that MPL had strong interactions with proteins that involved in cell growth, apoptosis, signal transduction pathway, some cancers pathways such as colorectal cancer, lung cancer, pancreas cancers, and skin cancer. A literature search revealed that Y252H has contribute to the development of essential thrombocythemia.ConclusionThese in silico predictions will provide useful information in selecting the target SNPs that are likely to have functional impact on the TPO-R and moreover could act as potential targets in genetic association studies. Keywords: In Silico analyses; JAK2; Missense Variants; MPL gene; Thrombopoietin (TPO); Single nucleotide polymorphism (SNP).

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A systematic review with in silico analysis on transcriptomic profile of gallbladder carcinoma

Seminars in Oncology ◽

10.1053/j.seminoncol.2020.02.012 ◽

2020 ◽

Vol 47 (6) ◽

pp. 398-408

Author(s):

Sonam Tulsyan ◽

Showket Hussain ◽

Balraj Mittal ◽

Sundeep Singh Saluja ◽

Pranay Tanwar ◽

...

Keyword(s):

Systematic Review ◽

Gallbladder Carcinoma ◽

In Silico ◽

In Silico Analysis ◽

Transcriptomic Profile ◽

Silico Analysis

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In Silico Analysis of Single Nucleotide Polymorphism in Human Prothrombin Gene

10.1055/s-0039-1680245 ◽

2019 ◽

Author(s):

I. Farah ◽

A. El-Mubark ◽

M. Osman ◽

A. Soliman ◽

F. Ali ◽

...

Keyword(s):

Single Nucleotide Polymorphism ◽

In Silico ◽

In Silico Analysis ◽

Nucleotide Polymorphism ◽

Single Nucleotide ◽

Prothrombin Gene ◽

Silico Analysis

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Enalos Suite of Tools: Enhancing Cheminformatics and Nanoinfor - matics through KNIME

Current Medicinal Chemistry ◽

10.2174/0929867327666200727114410 ◽

2020 ◽

Vol 27 (38) ◽

pp. 6523-6535 ◽

Cited By ~ 3

Author(s):

Antreas Afantitis ◽

Andreas Tsoumanis ◽

Georgia Melagraki

Keyword(s):

Data Analysis ◽

Virtual Screening ◽

In Silico ◽

Model Development ◽

In Silico Analysis ◽

Material Design ◽

Efficient Solutions ◽

Biological Data ◽

Cost Efficient ◽

Silico Analysis

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.

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