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A ROLE OF AYURINFORMATICS COMPUTATIONAL TOXICOLOGY STUDY IN AGADATANTRA: A REVIEW
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Ayurveda the heart of Indian medical system consists of eight branches and Agadatantra is one of them which on the whole deal with poison and their therapeutic management. The Ayurveda toxicology (Agadatantra) help to identify poison, described type of poison and secernate minerals, plant and animal poison along with their treatment methodology. Ayurveda acknowledges the presences of toxic substances, called Visha Dravya. Many Ayurvedic texts outline methods for detoxifying or purifying these substances before they are used in medicine e.g., Shodhana processes. However, traditional methods of detoxification require scientific validation to confirm their efficacy in removing or neutralizing toxins. Toxicity testing is done on animal models. Animal ethical committee always suggests reducing the number of animals or replacing the animals in safety and toxicity profiling. A computational toxicology approach is a better option for toxicity prediction based on chemical structure of the compound, as it offers a promising alternative to traditional methods. This technique is highly reliable because it limits the animal testing and provides precision in study of toxicity of various phytochemicals. This technique is highly efficient, accurate and reliable for toxicity assessment without animal testing.
Moksha Publishing House
Title: A ROLE OF AYURINFORMATICS COMPUTATIONAL TOXICOLOGY STUDY IN AGADATANTRA: A REVIEW
Description:
Ayurveda the heart of Indian medical system consists of eight branches and Agadatantra is one of them which on the whole deal with poison and their therapeutic management.
The Ayurveda toxicology (Agadatantra) help to identify poison, described type of poison and secernate minerals, plant and animal poison along with their treatment methodology.
Ayurveda acknowledges the presences of toxic substances, called Visha Dravya.
Many Ayurvedic texts outline methods for detoxifying or purifying these substances before they are used in medicine e.
g.
, Shodhana processes.
However, traditional methods of detoxification require scientific validation to confirm their efficacy in removing or neutralizing toxins.
Toxicity testing is done on animal models.
Animal ethical committee always suggests reducing the number of animals or replacing the animals in safety and toxicity profiling.
A computational toxicology approach is a better option for toxicity prediction based on chemical structure of the compound, as it offers a promising alternative to traditional methods.
This technique is highly reliable because it limits the animal testing and provides precision in study of toxicity of various phytochemicals.
This technique is highly efficient, accurate and reliable for toxicity assessment without animal testing.
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