scholarly journals Combining In Silico Tools with Multicriteria Analysis for Alternatives Assessment of Hazardous Chemicals: Accounting for the Transformation Products of decaBDE and Its Alternatives

2020 ◽  
Author(s):  
Ziye Zheng ◽  
Hans Peter H. Arp ◽  
Gregory Peters ◽  
Patrik L. Andersson
Keyword(s):  
In Silico ◽  
Multicriteria Analysis ◽  
Transformation Products ◽  
Hazardous Chemicals ◽  
Alternatives Assessment ◽  
In Silico Tools

Identification of BAP1-associated MicroRNAs and Implications in Cancer Development

2019 ◽  
pp. 1-4
Author(s):  
Tikam Chand ◽  
Tikam Chand
Keyword(s):  
Gene Regulation ◽  
In Silico ◽  
Mirna Target ◽  
Target Prediction ◽  
Differential Regulation ◽  
Cancer Development ◽  
Mirna Target Prediction ◽  
Cancer Types ◽  
In Silico Tools

Having role in gene regulation and silencing, miRNAs have been implicated in development and progression of a number of diseases, including cancer. Herein, I present potential miRNAs associated with BAP1 gene identified using in-silico tools such as TargetScan and Exiqon miRNA Target Prediction. I identified fifteen highly conserved miRNA (hsa-miR-423-5p, hsa-miR-3184-5p, hsa-miR-4319, hsa-miR125b-5p, hsa-miR-125a-5p, hsa-miR-6893-3p, hsa-miR-200b-3p, hsa-miR-200c-3p, hsa-miR-505-3p.1, hsa-miR-429, hsa-miR-370-3p, hsa-miR-125a-5p, hsa-miR-141-3p, hsa-miR-200a-3p, and hsa-miR-429) associated with BAP1 gene. We also predicted the differential regulation of these twelve miRNAs in different cancer types.

An Update of In Silico Tools for the Prediction of Pathogenesis in Missense Variants

2011 ◽  
Vol 6 (2) ◽  
pp. 185-198
Author(s):  
Alejandro j. Brea-Fernandez ◽  
Marta Ferro ◽  
Ceres Fernandez-Rozadilla ◽  
Ana Blanco ◽  
Laura Fachal ◽  
...  
Keyword(s):  
In Silico ◽  
Missense Variants ◽  
In Silico Tools

scholarly journals Antimicrobial peptide induced colloidal transformations in bacteria-mimetic vesicles: Combining in silico tools and experimental methods

2021 ◽  
Vol 596 ◽  
pp. 352-363
Author(s):  
Rafael V.M. Freire ◽  
Yeny Pillco-Valencia ◽  
Gabriel C.A. da Hora ◽  
Madeleine Ramstedt ◽  
Linda Sandblad ◽  
...  
Keyword(s):  
Antimicrobial Peptide ◽  
In Silico ◽  
Experimental Methods ◽  
In Silico Tools

scholarly journals A New Validation Methodology for In Silico Tools Based on X-ray Computed Tomography Images of Tablets and a Performance Analysis of One Tool

Pharmaceutics ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1488
Author(s):  
Sebastian Bollmann ◽  
Peter Kleinebudde
Keyword(s):  
Computed Tomography ◽  
In Silico ◽  
Pharmaceutical Formulations ◽  
Prediction Errors ◽  
Micro Computed Tomography ◽  
Pharmaceutical Dosage Forms ◽  
X Ray ◽  
Computed Tomography Images ◽  
X Ray Computed ◽  
In Silico Tools

In silico tools which predict the dissolution of pharmaceutical dosage forms using virtual matrices can be validated with virtual matrices based on X-ray micro-computed tomography images of real pharmaceutical formulations. Final processed images of 3 different tablet batches were used to check the performance of the in silico tool F-CAD. The goal of this work was to prove the performance of the software by comparing the predicted dissolution profiles to the experimental ones and to check the feasibility and application of the validation concept for in silico tools. Both virtual matrices based on X-ray micro-computed tomography images and designed by the software itself were used. The resulting dissolution curves were compared regarding their similarity to the experimental curve. The kinetics were analysed with the Higuchi and Korsmeyers–Peppas plot. The whole validation concept as such was feasible and worked well. It was possible to identify prediction errors of the software F-CAD and issues with the virtual tablets designed within the software.

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