Pharmacognosy and pharmacology of Calotropis gigantea for discovery of anticancer therapeutics

2021 ◽  
Vol 17 (6) ◽  
pp. 123
Author(s):  
ArunH S. Kumar ◽  
Zahra Khosravi
Author(s):  
Pradeep Deshmukh ◽  
Tanaji Nandgude ◽  
Mahendra Singh Rathode ◽  
Anil Midha ◽  
Nitin Jaiswal

The suspensions of alcoholic extract of root bark of the plant Calotropis gigantea in 0.6% carboxy methyl cellulose (CMC) were evaluated for hepatoprotective activity in Wistar albino rats by inducing hepatic injury with D-galactosamine (400 mg/kg). Alcoholic extract of root bark of the plant Calotropis gigantea at an oral dose of 200 mg/kg and 400 mg/kg exhibited a significant (P<0.001, P<0.01 and P<0.05) protection effect by normalizing the levels of aspartate amino transferase (ASAT/ GOT), alanine amino transferase (ALAT/GPT), alkaline phosphatase (ALP), total bilirubin (TB), lactate dehydrogenase (LDH), which were significantly (P<0.001) increased in rats by treatment with 400 mg/kg i.p. of D-galactosamine. Silymarin (25 mg/kg), a known hepatoprotective drug used for comparison exhibited significant activity (P<0.001).


Author(s):  
Mrunmaya Kumar Panda ◽  
Manish Paul ◽  
Sameer Kumar Singdevsachan ◽  
Kumananda Tayung ◽  
Swagat Kumar Das ◽  
...  

Background: Nowadays medicines derived from natural sources have drawn much attention as potential therapeutic agents in the suppression and treatment of cancer because of their low toxicity and fewer side effects. Objective: The present review aims to assess the currently available knowledge on the ethnomedicinal uses and pharmacological activities of bioactive compounds obtained from medicinal mushrooms towards cancer treatment. Methods: Literature search has been conducted for the collection of research papers from universally accepted scientific databases. These research papers and published book chapters were scrutinized to retrieve information on ethnomedicinal uses of mushrooms, different factors involved in cancer cell proliferation, clinical and in silico pharmaceutical studies made for possible treatments of cancer using mushroom derived compounds. Overall 241 articles were retrieved and reviewed from the year of 1970 to 2020, out of which 98 relevant articles were finally considered for preparation of this review. Results: This review presents an update on the natural bioactive substances derived from medicinal mushrooms and their role in inhibiting the factors responsible for cancer cell proliferation. Along with it, the present review also provides information on the ethnomedicinal uses, solvents used for extraction of anticancer metabolites, clinical trials, and in silico studies that were undertaken towards anticancer drug development from medicinal mushrooms. Conclusion: The present review provides an extensive knowledge on various anticancer substances obtained from medicinal mushrooms, their biological actions and in silico drug designing approaches which could form a basis for the development of natural anticancer therapeutics.


2016 ◽  
Vol 16 (8) ◽  
pp. 690-701 ◽  
Author(s):  
B. Rah ◽  
D. Nayak ◽  
R. Rasool ◽  
S. Chakraborty ◽  
A. Katoch ◽  
...  

Author(s):  
Saad Ur Rehman ◽  
Muhammad Rizwan ◽  
Sajid Khan ◽  
Azhar Mehmood ◽  
Anum Munir

: Medicinal plants are the basic source of medicinal compounds traditionally used for the treatment of human diseases. Calotropis gigantea a medicinal plant belonging to the family of Apocynaceae in the plant kingdom and subfamily Asclepiadaceae usually bearing multiple medicinal properties to cure a variety of diseases. Background: The Peptide Mass Fingerprinting (PMF) identifies the proteins from a reference protein database by comparing the amino acid sequence that is previously stored in a database and identified. Method: The calculation of insilico peptide masses is done through the ExPASy PeptideMass and these masses are used to identify the peptides from MASCOT online server. Anticancer probability is calculated from the iACP server, docking of active peptides is done by CABS-dock the server. Objective: The purpose of the study is to identify the peptides having anti-cancerous properties by in-silico peptide mass fingerprinting. Results : The anti-cancerous peptides are identified with the MASCOT peptide mass fingerprinting server, the identified peptides are screened and only the anti-cancer are selected. De novo peptide structure prediction is used for 3D structure prediction by PEP-FOLD 3 server. The docking results confirm strong bonding with the interacting amino acids of the receptor protein of breast cancer BRCA1 which shows the best peptide binding to the Active chain, the human leukemia protein docking with peptides shows the accurate binding. Conclusion : These peptides are stable and functional and are the best way for the treatment of cancer and many other deadly diseases.


Author(s):  
Manoj Singh ◽  
Vikas Kumar ◽  
Nirmala Sehrawat ◽  
Mukesh Yadav ◽  
Mayank Chaudhary ◽  
...  

1915 ◽  
Vol 107 (0) ◽  
pp. 1437-1442 ◽  
Author(s):  
Ernest George Hill ◽  
Annoda Prasad Sirkar

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