scholarly journals Building a Chemical Toolbox for Human Pregnane X Receptor Research: Discovery of Agonists, Inverse Agonists, and Antagonists Among Analogs Based on the Unique Chemical Scaffold of SPA70

2021 ◽  
Vol 64 (3) ◽  
pp. 1733-1761
Author(s):  
Yongtao Li ◽  
Wenwei Lin ◽  
William C. Wright ◽  
Sergio C. Chai ◽  
Jing Wu ◽  
...  
Keyword(s):  
Pregnane X Receptor ◽  
Inverse Agonists ◽  
Receptor Research ◽  
Unique Chemical

How toxicity of nanomaterials towards different species could be simultaneously evaluated: Novel multi-nano-read-across approach

2017 ◽  
Author(s):  
Natalia Sizochenko ◽  
Alicja Mikolajczyk ◽  
Karolina Jagiello ◽  
Tomasz Puzyn ◽  
Jerzy Leszczynski ◽  
...  
Keyword(s):  
Missing Values ◽  
Metal Oxide Nanoparticles ◽  
Machine Learning Techniques ◽  
Self Organizing Map ◽  
Related Data ◽  
Mammalian Cell Lines ◽  
Learning Techniques ◽  
Combination Of Methods ◽  
Map Analysis ◽  
Unique Chemical

Application of predictive modeling approaches is able solve the problem of the missing data. There are a lot of studies that investigate the effects of missing values on qualitative or quantitative modeling, but only few publications have been<br>discussing it in case of applications to nanotechnology related data. Current project aimed at the development of multi-nano-read-across modeling technique that helps in predicting the toxicity of different species: bacteria, algae, protozoa, and mammalian cell lines. In this study, the experimental toxicity for 184 metal- and silica oxides (30 unique chemical types) nanoparticles from 15 experimental datasets was analyzed. A hybrid quantitative multi-nano-read-across approach that combines interspecies correlation analysis and self-organizing map analysis was developed. At the first step, hidden patterns of toxicity among the nanoparticles were identified using a combination of methods. Then the developed model that based on categorization of metal oxide nanoparticles’ toxicity outcomes was evaluated by means of combination of supervised and unsupervised machine learning techniques to find underlying factors responsible for toxicity.

How toxicity of nanomaterials towards different species could be simultaneously evaluated: Novel multi-nano-read-across approach

2017 ◽  
Author(s):  
Natalia Sizochenko ◽  
Alicja Mikolajczyk ◽  
Karolina Jagiello ◽  
Tomasz Puzyn ◽  
Jerzy Leszczynski ◽  
...  
Keyword(s):  
Missing Values ◽  
Metal Oxide Nanoparticles ◽  
Machine Learning Techniques ◽  
Self Organizing Map ◽  
Related Data ◽  
Mammalian Cell Lines ◽  
Learning Techniques ◽  
Combination Of Methods ◽  
Map Analysis ◽  
Unique Chemical

Application of predictive modeling approaches is able solve the problem of the missing data. There are a lot of studies that investigate the effects of missing values on qualitative or quantitative modeling, but only few publications have been<br>discussing it in case of applications to nanotechnology related data. Current project aimed at the development of multi-nano-read-across modeling technique that helps in predicting the toxicity of different species: bacteria, algae, protozoa, and mammalian cell lines. In this study, the experimental toxicity for 184 metal- and silica oxides (30 unique chemical types) nanoparticles from 15 experimental datasets was analyzed. A hybrid quantitative multi-nano-read-across approach that combines interspecies correlation analysis and self-organizing map analysis was developed. At the first step, hidden patterns of toxicity among the nanoparticles were identified using a combination of methods. Then the developed model that based on categorization of metal oxide nanoparticles’ toxicity outcomes was evaluated by means of combination of supervised and unsupervised machine learning techniques to find underlying factors responsible for toxicity.

The Evolution of Histamine H3 Antagonists/Inverse Agonists

2011 ◽  
Vol 11 (6) ◽  
pp. 648-660 ◽  
Author(s):  
Evan P. Lebois ◽  
Carrie K. Jones ◽  
Craig W. Lindsley
Keyword(s):  
Inverse Agonists ◽  
Histamine H3

Chitosan in Biomedical Engineering: A Critical Review

2019 ◽  
Vol 14 (2) ◽  
pp. 93-116 ◽  
Author(s):  
Shabnam Mohebbi ◽  
Mojtaba Nasiri Nezhad ◽  
Payam Zarrintaj ◽  
Seyed Hassan Jafari ◽  
Saman Seyed Gholizadeh ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Biomedical Engineering ◽  
Biological Properties ◽  
Advanced Materials ◽  
Comprehensive Overview ◽  
Chemical Structures ◽  
Bio Imaging ◽  
Significant Attention ◽  
Unique Chemical

Biomedical engineering seeks to enhance the quality of life by developing advanced materials and technologies. Chitosan-based biomaterials have attracted significant attention because of having unique chemical structures with desired biocompatibility and biodegradability, which play different roles in membranes, sponges and scaffolds, along with promising biological properties such as biocompatibility, biodegradability and non-toxicity. Therefore, chitosan derivatives have been widely used in a vast variety of uses, chiefly pharmaceuticals and biomedical engineering. It is attempted here to draw a comprehensive overview of chitosan emerging applications in medicine, tissue engineering, drug delivery, gene therapy, cancer therapy, ophthalmology, dentistry, bio-imaging, bio-sensing and diagnosis. The use of Stem Cells (SCs) has given an interesting feature to the use of chitosan so that regenerative medicine and therapeutic methods have benefited from chitosan-based platforms. Plenty of the most recent discussions with stimulating ideas in this field are covered that could hopefully serve as hints for more developed works in biomedical engineering.

Effect of Nanobionics in crop production- A Review

2020 ◽  
Vol 10 ◽  
Author(s):  
Vinayak Fasake ◽  
Nita Patil ◽  
Zoya Javed ◽  
Mansi Mishra ◽  
Gyan Tripathi ◽  
...  
Keyword(s):  
Crop Production ◽  
Seed Quality ◽  
Negative Impact ◽  
Potential Solution ◽  
New Era ◽  
Mineral Toxicity ◽  
The Impact ◽  
Favourable Situation ◽  
Unique Chemical ◽  
Macro Nutrients

: Nanobionics involves the improvement of plant or plant productivity using nanomaterials. Growth of a plant from a seed encompasses various factors which are directly or indirectly dependent upon the imbibition of micro and macro nutrients and vital elements from the soil. Since most of the nutrition is physiologically unavailable to the plants, it leads to mineral deficiencies in plant and mineral toxicity in soil. Either ways, it is not a favourable situation for the microcosom. The new era of nanotechnology offers a potential solution to the availability of the nutrients to the plants due to its unique chemical and physical properties of nanoparticles. Positive and negative impact of these nanoparticles on seed quality and plant growth varies according to the specific properties of nanoparticles. The present review is an attempt to summarize the impact of nanobionics in agriculture.

scholarly journals Functional characterization of a full length pregnane X receptor, expression in vivo, and identification of PXR alleles, in Zebrafish (Danio rerio)

2013 ◽  
Vol 142-143 ◽  
pp. 447-457 ◽  
Author(s):  
Afonso C.D. Bainy ◽  
Akira Kubota ◽  
Jared V. Goldstone ◽  
Roger Lille-Langøy ◽  
Sibel I. Karchner ◽  
...  
Keyword(s):  
Danio Rerio ◽  
Functional Characterization ◽  
Pregnane X Receptor ◽  
Full Length ◽  
Receptor Expression

Chromo-fluorogenic sensors for chemical warfare agents in real-time analysis: journey towards accurate detection and differentiation

2021 ◽  
Vol 57 (28) ◽  
pp. 3430-3444
Author(s):  
Vinod Kumar
Keyword(s):  
Real Time ◽  
Chemical Warfare Agents ◽  
Chemical Warfare ◽  
Chemical Probes ◽  
Time Analysis ◽  
Specific Detection ◽  
Success Stories ◽  
Real Time Analysis ◽  
Warfare Agents ◽  
Unique Chemical

This article describes our journey and success stories in the development of chemical warfare detection, detailing the range of unique chemical probes and methods explored to achieve the specific detection of individual agents in realistic environments.

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